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Singh IA, Lokhande KB, Swamy KV. Exploring the anticancer potential of fluoro flavone analogues: insights from molecular docking and dynamics studies with Aurora Kinase B. In Silico Pharmacol 2024; 12:26. [PMID: 38596365 PMCID: PMC10999403 DOI: 10.1007/s40203-024-00200-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 02/22/2024] [Indexed: 04/11/2024] Open
Abstract
Aurora Kinase B belongs to the serine kinase family. It plays an essential role in cell division and participates in mitosis and chromatid segregation. Overexpression, polymorphism, and splicing variants in the protein lead to tumorigenesis, leading to cancer. Flavones belong to the class of flavonoids and are derived from plants and show anti-cancer activities. Fluoro flavones and their analogs are taken from the PubChem database, resulting in 3882 compounds which is 90% similar to the fluoro flavones. Lipinski's rule of five, REOS and PAINS drug-like filters were applied which resulted 2448 compounds. These compounds are docked with Aurora Kinase B using SP and XP modules of Glide software. The best binding scores for SP docking were - 9.153 kcal/mol for the compound with CID: 44298667, and XP docking was - 10.287 kcal/mol with CID: 101664315. Enrichment calculations were done using Aurora Kinase B's decoys to validate the docking result. The resulting R2 = 0.96 from enrichment calculations suggests that the docking protocol is valid. The SP and XP docking lead compounds and the Fluoro flavone were subjected to 100 ns MD simulation to probe the protein-ligand complex stability. Also, the binding free energies between the Aurora kinase B and lead compounds were computed by Prime MM/GBSA module. The result suggests that the lead compounds bind more strongly with Aurora Kinase B than the Fluoro flavone. These lead compounds can be further evaluated in vitro and in vivo and can be used as future novel drugs for the curation of cancer. Graphical abstract
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Affiliation(s)
- Ipsa A. Singh
- Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India
| | - Kiran Bharat Lokhande
- Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India
- Present Address: Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Greater Noida, UP India
| | - K. Venkateswara Swamy
- Drug Discovery Group, MIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune, 412201 India
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Alhazmi AY, Khan FR, Rehman ZU, Hazazi A, Alotaibi BS, Alharthi NS, Alhuthali HM, Aba Alkhayl FF, Alshehri FF, Alkhoshaiban A, Al-Otaibi F. Structural and energetic analysis of NS5 protein inhibition by small molecules in Japanese encephalitis virus using machine learning and steered molecular dynamics approach. J Biomol Struct Dyn 2024:1-18. [PMID: 38407246 DOI: 10.1080/07391102.2024.2316767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 02/02/2024] [Indexed: 02/27/2024]
Abstract
One of the viral diseases that affect millions of people around the world, particularly in developing countries, is Japanese encephalitis (JE). In this study, the conserved protein of this virus, that is, non-structural protein 5 (NS5), was used as a target protein for this study, and a compound library of 749 antiviral molecules was screened against NS5. The current study employed machine learning-based virtual screening combined with molecular docking. Here, three hits (24360, 123519051 and 213039) had lower binding energies (< -8 kcal/mol) than the control, S-Adenosyl-L-homocysteine (SAH). All the compounds showed significant H-bond interactions with functional residues, which were also observed by the control. Molecular dynamics simulation, MM/GBSA for binding free energy analysis, principal component analysis and free energy landscape were also performed to study the stability of the complex formation. All three compounds had similar root mean square deviation trends, which were comparable to the control, SAH. Post-MD, the 123519051-receptor complex had the highest number of H-bonds (4 to 5) after the control, out of which three exhibited the highest percentage occupancy (50%, 24% and 79%). Both docking and MD, 123519051 showed an H-bond with the residue Gly111, which was also found for the control-protein complex. 123519051 showed the lowest binding free energy with ΔGbind of -89 kJ/mol. Steered molecular dynamics depicted that 123519051 had the maximum magnitude of dissociation (1436.43 kJ/mol/nm), which was more than the control, validating its stable complex formation. This study concluded that 123519051 is a binder and could inhibit the protein NS5 of JE.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Abdulfattah Y Alhazmi
- Pharmaceutical Practices Department, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Farhan R Khan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences - AlQuwayiyah, Shaqra University, Saudi Arabia
| | - Zia Ur Rehman
- Department of Pharmaceutical Chemistry, College of Pharmacy, Jazan University, Jazan, Saudi Arabia
| | - Ali Hazazi
- Department of Pathology and Laboratory Medicine, Security Forces Hospital Program, Riyadh, Saudi Arabia
| | - Bader S Alotaibi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences - AlQuwayiyah, Shaqra University, Saudi Arabia
| | - Nahed S Alharthi
- Department of Medical Laboratory. College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudia Arabia
| | - Hayaa M Alhuthali
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia
| | - Faris F Aba Alkhayl
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia
| | - Faez Falah Alshehri
- Department of Medical Laboratories, College of Applied Medical Sciences, Shaqra University, Shaqra, Saudi Arabia
| | | | - Faisal Al-Otaibi
- Department of Pharmacy Practice, College of Pharmacy, Shaqra University, Saudi Arabia
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Pardhi E, Tomar DS, Khemchandani R, Bazaz MR, Dandekar MP, Samanthula G, Singh SB, Mehra NK. Monophasic coamorphous sulpiride: a leap in physicochemical attributes and dual inhibition of GlyT1 and P-glycoprotein, supported by experimental and computational insights. J Biomol Struct Dyn 2024:1-30. [PMID: 38299571 DOI: 10.1080/07391102.2024.2308048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/30/2023] [Indexed: 02/02/2024]
Abstract
Study aimed to design and development of a supramolecular formulation of sulpiride (SUL) to enhance its solubility, dissolution and permeability by targeting a novel GlyT1 inhibition mechanism. SUL is commonly used to treat gastric and duodenal ulcers, migraine, anti-emetic, anti-depressive and anti-dyspeptic conditions. Additionally, Naringin (NARI) was incorporated as a co-former to enhance the drug's intestinal permeability by targeting P-glycoprotein (P-gp) efflux inhibition. NARI, a flavonoid has diverse biological activities, including anti-apoptotic, anti-oxidant, and anti-inflammatory properties. This study aims to design and develop a supramolecular formulation of SUL with NARI to enhance its solubility, dissolution, and permeability by targeting a novel GlyT1 inhibition mechanism, extensive experimental characterization was performed using solid-state experimental techniques in conjunction with a computational approach. This approach included quantum mechanics-based molecular dynamics (MD) simulation and density functional theory (DFT) studies to investigate intermolecular interactions, phase transformation and various electronic structure-based properties. The findings of the miscibility study, radial distribution function (RDF) analysis, quantitative simulations of hydrogen/π-π bond interactions and geometry optimization aided in comprehending the coamorphization aspects of SUL-NARI Supramolecular systems. Molecular docking and MD simulation were performed for detailed binding affinity assessment and target validation. The solubility, dissolution and ex-vivo permeability studies demonstrated significant improvements with 31.88-fold, 9.13-fold and 1.83-fold increments, respectively. Furthermore, biological assessments revealed superior neuroprotective effects in the SUL-NARI coamorphous system compared to pure SUL. In conclusion, this study highlights the advantages of a drug-nutraceutical supramolecular formulation for improving the solubility and permeability of SUL, targeting novel schizophrenia treatment approaches through combined computational and experimental analyses.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Ekta Pardhi
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, India
| | - Devendra Singh Tomar
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, India
| | - Rahul Khemchandani
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India
| | - Mohd Rabi Bazaz
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India
| | - Manoj P Dandekar
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India
| | - Gananadhamu Samanthula
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India
| | - Shashi Bala Singh
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India
| | - Neelesh Kumar Mehra
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, India
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Abbasi M, Mansourian M, Oskouie AA, Taheri S, Mahnam K. In-silico study MM/GBSA binding free energy and molecular dynamics simulation of some designed remdesivir derivatives as the inhibitory potential of SARS-CoV-2 main protease. Res Pharm Sci 2024; 19:29-41. [PMID: 39006973 PMCID: PMC11244705 DOI: 10.4103/1735-5362.394818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 05/16/2023] [Accepted: 01/17/2024] [Indexed: 07/16/2024] Open
Abstract
Background and purpose Coronavirus disease (COVID-19) is one of the greatest challenges of the twentieth century. Recently, in silico tools help to predict new inhibitors of SARS-CoV-2. In this study, the new compounds based on the remdesivir structure (12 compounds) were designed. Experimental approach The main interactions of remdesivir and designed compounds were investigated in the 3CLpro active site. The binding free energy of compounds by the MM-GBSA method was calculated and the best compound (compound 12 with the value of -88.173 kcal/mol) was introduced to the molecular dynamics simulation study. Findings/Results The simulation results were compared with the results of protein simulation without the presence of an inhibitor and in the presence of remdesivir. Additionally, the RMSD results for the protein backbone showed that compound 12 in the second 50 nanoseconds has less fluctuation than the protein alone and in the presence of remdesivir, which indicates the stability of the compound in the active site of the Mpro protein. Furthermore, protein compactness was investigated in the absence of compounds and the presence of compound 12 and remdesivir. The Rg diagram shows a fluctuation of approximately 0.05 A, which indicates the compressibility of the protein in the presence and absence of compounds. The results of the RMSF plot also show the stability of essential amino acids during protein binding. Conclusion and implications Supported by the theoretical results, compound 12 could have the potential to inhibit the 3CLpro enzyme, which requires further in vitro studies and enzyme inhibition must also be confirmed at protein levels.
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Affiliation(s)
- Maryam Abbasi
- Department of Pharmaceutical Chemistry, School of Pharmacy, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Mahboubeh Mansourian
- Medicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, I.R. Iran
- Department of Pharmacology, Faculty of Medicine, Yasuj University of Medical Sciences, Yasuj, I.R. Iran
| | - Afsaneh Arefi Oskouie
- Department of Basic Sciences, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, I.R. Iran
| | - Salman Taheri
- Chemistry & Chemical Engineering Research Center of Iran, P.O. Box 14335-186, Tehran, I.R. Iran
| | - Karim Mahnam
- Faculty of Science, Department of Biology, Shahrekord University, Shahrekord, I.R. Iran
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Kant R, Kaushik R, Chopra M, Saluja D. Structure-based drug discovery to identify SARS-CoV2 spike protein-ACE2 interaction inhibitors. J Biomol Struct Dyn 2024:1-19. [PMID: 38174578 DOI: 10.1080/07391102.2023.2300060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 12/13/2023] [Indexed: 01/05/2024]
Abstract
After the emergence of the COVID-19 pandemic in late 2019, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has undergone a dynamic evolution driven by the acquisition of genetic modifications, resulting in several variants that are further classified as variants of interest (VOIs), variants under monitoring (VUM) and variants of concern (VOC) by World Health Organization (WHO). Currently, there are five SARS-CoV-2 VOCs (Alpha, Beta, Delta, Gamma and Omicron), two VOIs (Lambda and Mu) and several other VOIs that have been reported globally. In this study, we report a natural compound, Curcumin, as the potential inhibitor to the interactions between receptor binding domain (RBD(S1)) and human angiotensin-converting enzyme 2 (hACE2) domains and showcased its inhibitory potential for the Delta and Omicron variants through a computational approach by implementing state of the art methods. The study for the first time revealed a higher efficiency of Curcumin, especially for hindering the interaction between RBD(S1) and hACE-2 domains of Delta and Omicron variants as compared to other lead compounds. We investigated that the mutations in the RBD(S1) of VOC especially Delta and Omicron variants affect its structure compared to that of the wild type and other variants and therefore altered its binding to the hACE2 receptor. Molecular docking and molecular dynamics (MD) simulation analyses substantially supported the findings in terms of the stability of the docked complexes. This study offers compelling evidence, warranting a more in-depth exploration into the impact of these alterations on the binding of identified drug molecules with the Spike protein. Further investigation into their potential therapeutic effects in vivo is highly recommended.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Ravi Kant
- Medical Biotechnology Laboratory, Dr. B. R. Ambedkar Center for Biomedical Research &Delhi School of Public Health, IoE, University of Delhi, Delhi, India
| | - Rahul Kaushik
- Biotechology Research Center, Technology Innovation Institute, Masdar City, UAE
- Laboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, Yokohama, Japan
| | - Madhu Chopra
- Laboratory of Molecular Modeling and Drug Development, Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
| | - Daman Saluja
- Medical Biotechnology Laboratory, Dr. B. R. Ambedkar Center for Biomedical Research &Delhi School of Public Health, IoE, University of Delhi, Delhi, India
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Lokhande KB, Pawar SV, Madkaiker S, Shrivastava A, Venkateswara SK, Nawani N, Wani M, Ghosh P, Singh A. Screening of potential phytomolecules against MurG as drug target in nosocomial pathogen Pseudomonas aeruginosa: perceptions from computational campaign. J Biomol Struct Dyn 2024; 42:495-508. [PMID: 36974974 DOI: 10.1080/07391102.2023.2194005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 03/15/2023] [Indexed: 03/29/2023]
Abstract
The nosocomial infection outbreak caused by Pseudomonas aeruginosa remains a public health concern. Multi-drug resistant (MDR) strains of P. aeruginosa are rapidly spreading leading to a huge mortality rate because of the unavailability of promising antimicrobials. MurG glycotransferase [UDP-N-acetylglucosamine-N-acetylmuramyl (pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase] is located at the plasma membrane and plays a key role in murein (peptidoglycan) biosynthesis in bacteria. Since MurG is required for bacterial cell wall synthesis and is non-homologous to Homo sapiens; it can be a potential target for the antagonist to treat P. aeruginosa infection. The discovery of high-resolution crystal structure of P. aeruginosa MurG offers an opportunity for the computational identification of its prospective inhibitors. Therefore, in the present study, the crystal structure of MurG (PDB ID: 3S2U) from P. aeruginosa was selected, and computational docking analyses were performed to search for functional inhibitors of MurG. IMPPAT (Indian medicinal plants, phytochemicals and therapeutic) phytomolecule database was screened by computational methods with MurG catalytic site. Docking results identified Theobromine (-8.881 kcal/mol), demethoxycurcumin (-8.850 kcal/mol), 2-alpha-hydroxycostic acid (-8.791 kcal/mol), aurantiamide (-8.779 kcal/mol) and petasiphenol (-8.685 kcal/mol) as a potential inhibitor of the MurG activity. Further, theobromine and demethoxycurcumin were subjected to MDS (molecular dynamics simulation) and free energy (MM/GBSA) analysis to comprehend the physiological state and structural stability of MurG-phytomolecules complexes. The outcomes suggested that these two phytomolecules could act as most favorable natural hit compounds for impeding the enzymatic action of MurG in P. aeruginosa, and thus it needs further validation by both in vitro and in vivo analysis. HIGHLIGHTSThe top phytomolecules such as theobromine, demethoxycurcumin, 2-alpha-hydroxycostic acid, aurantiamide and petasiphenol displayed promising binding with MurG catalytic domain.MurG complexed with theobromine and demethoxycurcumin showed the best interaction and stable by MD simulation at 100 ns.The outcome of MurG binding phytomolecules has expanded the possibility of hit phytomolecules validation.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Kiran Bharat Lokhande
- Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune, India
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Uttar Pradesh, India
| | - Sarika Vishnu Pawar
- Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune, India
| | - Smriti Madkaiker
- Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune, India
| | - Ashish Shrivastava
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Uttar Pradesh, India
| | - Swamy K Venkateswara
- MIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune, Maharashtra, India
| | - Neelu Nawani
- Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune, India
| | - Minal Wani
- Plant and Environmental Biotechnology Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune, India
| | - Payel Ghosh
- Bioinformatics Centre, Savitribai Phule Pune University, Pune, Maharashtra, India
| | - Ashutosh Singh
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Uttar Pradesh, India
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7
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Bello SO, Imam MU, Bello MB, Yunusa A, Ahmed Adamu A, Shuaibu A, Igumbor EU, Habib ZG, Popoola MA, Ochu CL, Yahaya Bello A, Deeni YY, Okoye I. Erythromycin, retapamulin, pyridoxine, folic acid, and ivermectin inhibit cytopathic effect, papain-like protease, and M PRO enzymes of SARS-CoV-2. Front Cell Infect Microbiol 2023; 13:1273982. [PMID: 38089816 PMCID: PMC10711598 DOI: 10.3389/fcimb.2023.1273982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/20/2023] [Indexed: 12/18/2023] Open
Abstract
Background Although tremendous success has been achieved in the development and deployment of effective COVID-19 vaccines, developing effective therapeutics for the treatment of those who do come down with the disease has been with limited success. To repurpose existing drugs for COVID-19, we previously showed, qualitatively, that erythromycin, retapamulin, pyridoxine, folic acid, and ivermectin inhibit SARS-COV-2-induced cytopathic effect (CPE) in Vero cells. Aim This study aimed to quantitatively explore the inhibition of SARS-CoV-2-induced CPE by erythromycin, retapamulin, pyridoxine, folic acid, and ivermectin and to determine the effect of these drugs on SARS-CoV-2 papain-like protease and 3CL protease (MPRO) enzymes. Methods Neutral red (3-amino-7-dimethylamino-2-methyl-phenazine hydrochloride) cell viability assay was used to quantify CPE after infecting pre-treated Vero cells with clinical SARS-Cov-2 isolates. Furthermore, SensoLyte® 520 SARS-CoV-2 papain-like protease and SensoLyte® 520 SARS-CoV-2 MPRO activity assay kits were used to evaluate the inhibitory activity of the drugs on the respective enzymes. Results Erythromycin, retapamulin, pyridoxine, folic acid, and ivermectin dose-dependently inhibit SARS-CoV-2-induced CPE in Vero cells, with inhibitory concentration-50 (IC50) values of 3.27 µM, 4.23 µM, 9.29 µM, 3.19 µM, and 84.31 µM, respectively. Furthermore, erythromycin, retapamulin, pyridoxine, folic acid, and ivermectin dose-dependently inhibited SARS-CoV-2 papain-like protease with IC50 values of 0.94 µM, 0.88 µM, 1.14 µM, 1.07 µM, and 1.51 µM, respectively, and inhibited the main protease (MPRO) with IC50 values of 1.35 µM, 1.25 µM, 7.36 µM, 1.15 µM, and 2.44 µM, respectively. Conclusion The IC50 for all the drugs, except ivermectin, was at the clinically achievable plasma concentration in humans, which supports a possible role for the drugs in the management of COVID-19. The lack of inhibition of CPE by ivermectin at clinical concentrations could be part of the explanation for its lack of effectiveness in clinical trials.
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Affiliation(s)
- Shaibu Oricha Bello
- Department of Pharmacology and Therapeutics, Faculty of Basic Clinical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Lagos, Nigeria
- Centre for Advanced Medical Research and Training, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Mustapha Umar Imam
- Centre for Advanced Medical Research and Training, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Department of Medical Biochemistry, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Muhammad Bashir Bello
- Centre for Advanced Medical Research and Training, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Department of Veterinary Microbiology, Faculty of Veterinary Medicine, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Abdulmajeed Yunusa
- Department of Pharmacology and Therapeutics, Faculty of Basic Clinical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Adamu Ahmed Adamu
- Department of Pharmacology and Therapeutics, Faculty of Basic Clinical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Abdulmalik Shuaibu
- Centre for Advanced Medical Research and Training, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Department of Veterinary Microbiology, Faculty of Veterinary Medicine, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Ehimario Uche Igumbor
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Lagos, Nigeria
- School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - Zaiyad Garba Habib
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Lagos, Nigeria
- Department of Medicine, University of Abuja Teaching Hospital, Abuja, Nigeria
| | - Mustapha Ayodele Popoola
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Lagos, Nigeria
| | - Chinwe Lucia Ochu
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Lagos, Nigeria
- Nigerian Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Aishatu Yahaya Bello
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Yusuf Yahaya Deeni
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Lagos, Nigeria
- Department of Microbiology and Biotechnology, Federal University of Dutse, Dutse, Nigeria
- Centre for Environmental and Public Health Research and Development, Kano, Nigeria
| | - Ifeoma Okoye
- University of Nigeria Centre for Clinical Trials, University of Nigeria Teaching Hospital, Enugu, Nigeria
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8
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Rabaan AA, Halwani MA, Garout M, Alotaibi J, AlShehail BM, Alotaibi N, Almuthree SA, Alshehri AA, Alshahrani MA, Othman B, Alqahtani A, Alissa M. Exploration of phytochemical compounds against Marburg virus using QSAR, molecular dynamics, and free energy landscape. Mol Divers 2023:10.1007/s11030-023-10753-0. [PMID: 37925643 DOI: 10.1007/s11030-023-10753-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 10/21/2023] [Indexed: 11/07/2023]
Abstract
Marburg virus disease (MVD) is caused by the Marburg virus, a one-of-a-kind zoonotic RNA virus from the genus Filovirus. Thus, this current study employed AI-based QSAR and molecular docking-based virtual screening for identifying potential binders against the target protein (nucleoprotein (NP)) of the Marburg virus. A total of 2727 phytochemicals were used for screening, out of which the top three compounds (74977521, 90470472, and 11953909) were identified based on their predicted bioactivity (pIC50) and binding score (< - 7.4 kcal/mol). Later, MD simulation in triplicates and trajectory analysis were performed which showed that 11953909 and 74977521 had the most stable and consistent complex formations and had the most significant interactions with the highest number of hydrogen bonds. PCA (principal component analysis) and FEL (free energy landscape) analysis indicated that these compounds had favourable energy states for most of the conformations. The total binding free energy of the compounds using the MM/GBSA technique showed that 11953909 (ΔGTOTAL = - 30.78 kcal/mol) and 74977521 (ΔGTOTAL = - 30 kcal/mol) had the highest binding affinity with the protein. Overall, this in silico pipeline proposed that the phytochemicals 11953909 and 74977521 could be the possible binders of NP. This study aimed to find phytochemicals inhibiting the protein's function and potentially treating MVD.
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Affiliation(s)
- Ali A Rabaan
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, 31311, Dhahran, Saudi Arabia.
- College of Medicine, Alfaisal University, 11533, Riyadh, Saudi Arabia.
- Department of Public Health and Nutrition, The University of Haripur, Haripur, 22610, Pakistan.
| | - Muhammad A Halwani
- Department of Medical Microbiology, Faculty of Medicine, Al Baha University, 4781, Al Baha, Saudi Arabia
| | - Mohammed Garout
- Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, 21955, Makkah, Saudi Arabia
| | - Jawaher Alotaibi
- Infectious diseases Unit, Department of Medicine, King Faisal Specialist Hospital and Research Center, 11564, Riyadh, Saudi Arabia
| | - Bashayer M AlShehail
- Pharmacy Practice Department, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, 31441, Dammam, Saudi Arabia
| | - Nouf Alotaibi
- Clinical pharmacy Department, College of Pharmacy, Umm Al-Qura University, 21955, Makkah, Saudi Arabia
| | - Souad A Almuthree
- Department of Infectious Disease, King Abdullah Medical City, 43442, Makkah, Saudi Arabia
| | - Ahmad A Alshehri
- Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Najran University, 61441, Najran, Saudi Arabia
| | - Mohammed Abdulrahman Alshahrani
- Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Najran University, 61441, Najran, Saudi Arabia
| | - Basim Othman
- Department of Public Health, Faculty of Applied Medical Sciences, Al Baha University, 65779, Al Baha, Saudi Arabia
| | - Abdulaziz Alqahtani
- Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, 61321, Abha, Saudi Arabia
| | - Mohammed Alissa
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia.
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9
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Kaur H, Kalia M, Singh V, Taneja N. Identification of novel inhibitors against Escherichia coli utilizing HisC as a target from histidine biosynthesis pathway. J Biomol Struct Dyn 2023; 41:9907-9914. [PMID: 36416560 DOI: 10.1080/07391102.2022.2148319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 11/10/2022] [Indexed: 11/24/2022]
Abstract
Escherichia coli is a gram-negative bacterial pathogen that poses a significant challenge both clinically and epidemiologically. Large numbers of multi-drug resistant E. coli have emerged in the last decade, because of the selection pressure generated by the inadequate use of antibiotics. Although research to combat antibiotic resistance has been going on extensively but still lags in the rate of development of newer antibiotics. Therefore, newer approaches are required to speed up the rate of discovery of antibiotics. Computational methods for screening of inhibitors have made a significant contribution to the discovery of novel antimicrobials. The present study utilized histidinol-phospho aminotransferase (HisC) as a target. HisC is an enzyme that plays a crucial role in the biosynthesis of histidine and its absence in mammals makes it an attractive drug target. A ZINC library of 5000 natural compounds was screened against HisC (PDB ID: 1FG7) using PyRx and the first 500 hits were selected for secondary screening after sorting the result on the basis of binding score. Fifteen compounds passed the secondary filter ADME and out of these five passed toxicity filters; the best among five hits was selected on the basis of its binding score and inhibition constants. Further, molecular dynamics simulations and free binding were computed of selected five compounds and two natural compounds ZINC402598829 and ZINC31157928 complexed with HisC were found as highly stable. Overall, our results indicated that these natural sources could be used as potential HisC inhibitors.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Harpreet Kaur
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Manmohit Kalia
- Department of Biology, State University of New York, Binghamton, NY, USA
| | - Vikram Singh
- School of Computational Biology and Bioinformatics, Central University of Himachal Pradesh, Dharamshala, Himachal Pradesh, India
| | - Neelam Taneja
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
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10
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Revankar AG, Bagewadi ZK, Shaikh IA, Mannasaheb BA, Ghoneim MM, Khan AA, Asdaq SMB. In-vitro and computational analysis of Urolithin-A for anti-inflammatory activity on Cyclooxygenase 2 (COX-2). Saudi J Biol Sci 2023; 30:103804. [PMID: 37727526 PMCID: PMC10505678 DOI: 10.1016/j.sjbs.2023.103804] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/16/2023] [Accepted: 09/01/2023] [Indexed: 09/21/2023] Open
Abstract
Cyclooxygenase 2 (COX-2) participates in the inflammation process by converting arachidonic acid into prostaglandin G2 which increases inflammation, pain and fever. COX-2 has an active site and a heme pocket and blocking these sites stops the inflammation. Urolithin A is metabolite of ellagitannin produced from humans and animals gut microbes. In the current study, Urolithin A showed good pharmacokinetic properties. Molecular docking of the complex of Urolithin A and COX-2 revealed the ligand affinity of -7.97 kcal/mol with the ligand binding sites at TYR355, PHE518, ILE517 and GLN192 with the 4-H bonds at a distance of 2.8 Å, 2.3 Å, 2.5 Å and 1.9 Å. The RMSD plot for Urolithin A and COX-2 complex was observed to be constant throughout the duration of dynamics. A total of 3 pair of hydrogen bonds was largely observed on average of 3 simulation positions for dynamics duration of 500 ns. The MMPBSA analysis showed that active site amino acids had a binding energy of -22.0368 kJ/mol indicating that throughout the simulation the protein of target was bounded by Urolithin A. In-silico results were validated by biological assays. Urolithin A strongly revealed to exhibit anti-inflammatory effect on COX-2 with an IC50 value of 44.04 µg/mL. The anti-inflammatory capability was also depicted through reduction of protein denaturation that showed 37.6 ± 0.1 % and 43.2 ± 0.07 % reduction of protein denaturation for BSA and egg albumin respectively at 500 µg/mL. The present study, suggests Urolithin A to be an effective anti-inflammatory compound for therapeutic use.
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Affiliation(s)
- Archana G. Revankar
- Department of Biotechnology, KLE Technological University, Hubballi, Karnataka 580031, India
| | - Zabin K. Bagewadi
- Department of Biotechnology, KLE Technological University, Hubballi, Karnataka 580031, India
| | - Ibrahim Ahmed Shaikh
- Department of Pharmacology, College of Pharmacy, Najran University, Najran 66462, Saudi Arabia
| | | | - Mohammed M. Ghoneim
- Department of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Ad Diriyah 13713, Saudi Arabia
| | - Aejaz Abdullatif Khan
- Department of General Science, Ibn Sina National College for Medical Studies, Jeddah 21418, Saudi Arabia
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11
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Lokhande KB, Kale A, Shahakar B, Shrivastava A, Nawani N, Swamy KV, Singh A, Pawar SV. Terpenoid phytocompounds from mangrove plant Xylocarpus moluccensis as possible inhibitors against SARS-CoV-2: In silico strategy. Comput Biol Chem 2023; 106:107912. [PMID: 37454399 DOI: 10.1016/j.compbiolchem.2023.107912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023]
Abstract
COVID-19 shook the world during the pandemic, where the climax it reached was vaccine manufacturing at an unfathomable pace. Alternative promising solutions to prevent infection from SARS-CoV-2 and its variants will remain crucial in the years to come. Due to its key role in viral replication, the major protease (Mpro) enzyme of SARS-CoV-2 can be an attractive therapeutic target. In the present work, natural terpenoids from mangrove medicinal plant Xylocarpus moluccensis (Lam.) M. Roem. were screened using computational methods for inhibition of Mpro protein. Out of sixty-seven terpenoids, Angolensic acid methyl ester, Moluccensin V, Thaixylomolin F, Godavarin J, and Xylomexicanolide A were shortlisted based on their docking scores and interaction affinities (- 13.502 to - 15.52 kcal/mol). The efficacy was validated by the 100 ns molecular dynamics study. Lead terpenoids were within the acceptable range of RMSD and RMSF with a mean value of 2.5 Å and 1.5 Å, respectively indicating that they bound tightly within Mpro and there was minimal fluctuation and stability of Mpro upon binding of these terpenoids. The utmost favorable binding strengths as calculated by MM-GBSA, were of Angolensic acid methyl ester and Moluccensin V with binding free energies (ΔGbind) of - 39.084, and - 43.160 kcal/mol, respectively. The terpenoids showed no violations in terms of Drug Likeliness and ADMET predictions. Overall, the findings indicate that Angolensic acid methyl ester and Moluccensin V are effective terpenoids having strong binding interaction with Mpro protein, which must be tested in vitro as an effective anti-SARS-CoV-2 drug.
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Affiliation(s)
- Kiran Bharat Lokhande
- Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411033, Maharashtra, India; Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, UP, India
| | - Arti Kale
- Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411033, Maharashtra, India
| | - Bhagyashree Shahakar
- Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411033, Maharashtra, India
| | - Ashish Shrivastava
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, UP, India
| | - Neelu Nawani
- Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411033, Maharashtra, India.
| | - K Venkateswara Swamy
- MIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune, Maharashtra, India
| | - Ashutosh Singh
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, UP, India
| | - Sarika Vishnu Pawar
- Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411033, Maharashtra, India.
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12
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Doiphode S, Lokhande KB, Ghosh P, Swamy KV, Nagar S. Dual inhibition of cyclooxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX) by resveratrol derivatives in cancer therapy: in silico approach. J Biomol Struct Dyn 2023; 41:8571-8586. [PMID: 36282056 DOI: 10.1080/07391102.2022.2135599] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 10/08/2022] [Indexed: 10/31/2022]
Abstract
In a number of human cancers, both cycloxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX) are up-regulated and co-expressed, promoting cancer cell proliferation and angiogenesis. Resveratrol (3,4',5-trihydroxy-trans-stilbene) is a natural polyphenolic phytoalexin found in a variety of plants that influences various signal-transduction pathways which control apoptosis, cell growth and cell division, metastasis, angiogenesis and inflammation, and has an impact on cancer stages ranging from initiation to progression. In this work, molecular docking and molecular dynamics simulation method are employed to design resveratrol derivatives for COX-2 and 5-LOX enzymes. By attaching several functional groups on four different places of the resveratrol scaffold, the R group enumeration approach was employed to build four libraries of resveratrol derivatives. Thus, R group enumeration is done to focus on the enhancement of potency of compounds and other chemical characteristics like solubility. Drug-like filters such as REOS 1, 2, 3 and PAINS were applied to the libraries, generating a total of 5557 compounds. Drug-like filters such as REOS and PAINS-1, 2 and 3 were applied to the libraries, generating a total of 5557 compounds. All of these compounds were docked with both enzymes using the Glide SP and XP docking methods. Enrichment calculations were performed using 40 compounds from XP docking along with resveratrol, and 1000 decoy compounds from the DUD-E database to validate the docking protocol. The stability of the complexes was further studied using molecular dynamics simulation, radius of gyration, MM/GBSA, H bond monitoring and electrostatic potential surface (EPS). ADMET properties of compounds were studied using SwissADME and pkCSM server.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Sayali Doiphode
- Bioinformatics Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India
| | - Kiran Bharat Lokhande
- Bioinformatics Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India
| | - Payel Ghosh
- Bioinformatics Centre, Savitribai Phule Pune University, Pune, India
| | - K V Swamy
- MIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune, India
| | - Shuchi Nagar
- Bioinformatics Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India
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13
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Rajan M, Prabhakaran S, Prusty JS, Chauhan N, Gupta P, Kumar A. Phytochemicals of Cocculus hirsutus deciphered SARS-CoV-2 inhibition by targeting main proteases in molecular docking, simulation, and pharmacological analyses. J Biomol Struct Dyn 2023; 41:7406-7420. [PMID: 36099182 DOI: 10.1080/07391102.2022.2121758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/31/2022] [Indexed: 10/14/2022]
Abstract
The COVID-19 pandemic is spreading rapidly due to the outbreak of novel coronavirus SARS-CoV-2 across the globe. Anti-COVID-19 drugs are urgently required in this situation. In this regard, the discovery of promising new anti-COVID-19 moieties is expected from traditional medicine. The study is aimed to discover phytochemicals of Cocculus hirsutus having anti-COVID-19 activity via inhibiting main proteases of SARS-CoV-2. Main proteases (Mpro) of SARS-CoV-2 serve as a protuberant target for anti-COVID-19 drug discovery because it is a key enzyme of coronaviruses and has a pivotal role in mediating viral replication and transcription that makes it an attractive drug target. Recent studies indicated the utility of C. hirsutus in the treatment of viral disorders like Dengue. Phytochemicals from C. hirsutus were docked against SARS-CoV-2 main proteases (6LU7, 5R7Y, 5R7Z, 5R80, 5R81, 5R82) using the PyRx virtual screen tool and discovery studio visualizer. Further, molecular dynamics simulations were performed (for 100 ns) to see conformational stability for all complexes. Pharmacokinetic properties and drug-likeness prediction of selected C. hirsutus phytoconstituents were also performed. Betulin, coclaurine, and quinic acid of C. hirsutus were found promising with significant binding affinity to SARS-CoV-2 Mpro in comparison to control. They have shown stable interactions with the amino acid residues present on the active site of most of the SARS-CoV-2 Mpro and were found as promising anti-COVID-19 candidates. These compounds could be potential leads for the development of target-specific anti-COVID-19 therapeutics while ethnomedicinal uses of this herb could further needed for its detailed antiviral therapeutic exploration.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Mariappan Rajan
- Department of Natural Product Chemistry, Madurai Kamaraj University, Madurai, Tamil Nadu, India
| | - Selvakani Prabhakaran
- Department of Natural Product Chemistry, Madurai Kamaraj University, Madurai, Tamil Nadu, India
| | - Jyoti Sankar Prusty
- Department of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh, India
| | - Nagendra Chauhan
- Drugs testing LaboratoryAvam Anusandhan Kendra, NPA Government Ayurved College, Raipur, Chhattisgarh, India
| | - Prashant Gupta
- Ayurinformatics Lab, Department of Kaumarbhritya, All India Institute of Ayurveda, New Delhi, India
| | - Awanish Kumar
- Department of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh, India
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14
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Santiago-Silva KMD, Camargo P, Felix da Silva Gomes G, Sotero AP, Orsato A, Perez CC, Nakazato G, da Silva Lima CH, Bispo M. In silico approach identified benzoylguanidines as SARS-CoV-2 main protease (M pro) potential inhibitors. J Biomol Struct Dyn 2023; 41:7686-7699. [PMID: 36124832 DOI: 10.1080/07391102.2022.2123396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 09/06/2022] [Indexed: 10/14/2022]
Abstract
The coronavirus disease-2019 (COVID-19) pandemic, caused by the novel coronavirus severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), became the highest public health crisis nowadays. Although the use of approved vaccines for emergency immunization and the reuse of FDA-approved drugs remains at the forefront, the search for new, more selective, and potent drug candidates from synthetic compounds is also a viable alternative to combat this viral disease. In this context, the present study employed a computational virtual screening approach based on molecular docking and molecular dynamics (MD) simulation to identify possible inhibitors for SARS-CoV-2 Mpro (main protease), an important molecular target required for the maturation of the various polyproteins involved in viral replication. The virtual screening approach selected four potential inhibitors against SARS-CoV-2 Mpro. In addition, MD simulation studies revealed changes in the positions of the ligands during the simulations compared to the complex obtained in the molecular docking studies, showing the benzoylguanidines LMed-110 and LMed-136 have a higher affinity for the active site compared to the other structures that tended to leave the active site. Besides, there was a better understanding of the formation and stability of the existing H-bonds in the formed complexes and the energetic contributions to the stability of the target-ligand molecular complexes. Finally, the in silico prediction of the ADME profile suggested that LMed-136 has drug-like characteristics and good pharmacokinetic properties. Therefore, from the present study, it can be suggested that these structures can inhibit SARS-CoV-2 Mpro. Nevertheless, further studies are needed in vitro assays to investigate the antiviral properties of these structures against SARS-CoV-2.
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Affiliation(s)
- Kaio Maciel de Santiago-Silva
- Laboratório de Síntese de Moléculas Medicinais (LaSMMed), Departamento de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina, Londrina, Brazil
| | - Priscila Camargo
- Laboratório de Síntese de Moléculas Medicinais (LaSMMed), Departamento de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina, Londrina, Brazil
| | - Gabriel Felix da Silva Gomes
- Laboratório de Síntese de Moléculas Medicinais (LaSMMed), Departamento de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina, Londrina, Brazil
| | - Ana Paula Sotero
- Departamento de Química Orgânica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Alexandre Orsato
- Laboratório de Síntese de Moléculas Medicinais (LaSMMed), Departamento de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina, Londrina, Brazil
| | - Carla Cristina Perez
- Laboratório de Síntese de Moléculas Medicinais (LaSMMed), Departamento de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina, Londrina, Brazil
| | - Gerson Nakazato
- Departamento de Microbiologia, Centro de Ciências Biológicas, Universidade Estadual de Londrina, Londrina, Brazil
| | - Camilo Henrique da Silva Lima
- Departamento de Química Orgânica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marcelle Bispo
- Laboratório de Síntese de Moléculas Medicinais (LaSMMed), Departamento de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina, Londrina, Brazil
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15
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Bekheit MS, Panda SS, Kariuki BM, Mahmoud SH, Mostafa A, Girgis AS. Spiroindole-containing compounds bearing phosphonate group of potential M pro-SARS-CoV-2 inhibitory properties. Eur J Med Chem 2023; 258:115563. [PMID: 37329713 DOI: 10.1016/j.ejmech.2023.115563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/23/2023] [Accepted: 06/09/2023] [Indexed: 06/19/2023]
Abstract
Microwave-assisted reaction of 3,5-bis((E)-ylidene)-1-phosphonate-4-piperidones 3a‒g with azomethine ylide (produced through interaction of isatins 4 and sarcosine 5) cycloaddition afforded the corresponding (dispiro[indoline-3,2'-pyrrolidine-3',3″-piperidin]-1″-yl)phosphonates 6a‒l in excellent yields (80-95%). Structure of the synthesized agents was evidenced by single crystal X-ray studies of 6d, 6i and 6l. Some of the synthesized agents revealed promising anti-SARS-CoV-2 properties in the viral infected Vero-E6 cell technique with noticeable selectivity indices. Compounds 6g and 6b are the most promising agents synthesized (R = 4-BrC6H4, Ph; R' = H, Cl, respectively) with considerable selectivity index values. Mpro-SARS-CoV-2 inhibitory properties supported the anti-SARS-CoV-2 observations of the potent analogs synthesized. Molecular docking studies (PDB ID: 7C8U) are consistent with the Mpro inhibitory properties. The presumed mode of action was supported by both experimentally investigated Mpro-SARS-CoV-2 inhibitory properties and explained by docking observations.
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Affiliation(s)
- Mohamed S Bekheit
- Department of Pesticide Chemistry, National Research Centre, Dokki, Giza, 12622, Egypt
| | - Siva S Panda
- Department of Chemistry and Physics, Augusta University, Augusta, GA, 30912, USA
| | - Benson M Kariuki
- School of Chemistry, Cardiff University, Main Building, Park Place, Cardiff, CF10 3AT, UK
| | - Sara H Mahmoud
- Center of Scientific Excellence for Influenza Viruses, National Research Centre, Giza, 12622, Egypt
| | - Ahmed Mostafa
- Center of Scientific Excellence for Influenza Viruses, National Research Centre, Giza, 12622, Egypt
| | - Adel S Girgis
- Department of Pesticide Chemistry, National Research Centre, Dokki, Giza, 12622, Egypt.
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16
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Novel antiproliferative inhibitors from salicylamide derivatives with dipeptide moieties using 3D-QSAR, molecular docking, molecular dynamic simulation and ADMET studies. J Mol Struct 2023. [DOI: 10.1016/j.molstruc.2023.135219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
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17
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Tian WJ, Wang XJ. Broad-Spectrum Antivirals Derived from Natural Products. Viruses 2023; 15:v15051100. [PMID: 37243186 DOI: 10.3390/v15051100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/26/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
Scientific advances have led to the development and production of numerous vaccines and antiviral drugs, but viruses, including re-emerging and emerging viruses, such as SARS-CoV-2, remain a major threat to human health. Many antiviral agents are rarely used in clinical treatment, however, because of their inefficacy and resistance. The toxicity of natural products may be lower, and some natural products have multiple targets, which means less resistance. Therefore, natural products may be an effective means to solve virus infection in the future. New techniques and ideas are currently being developed for the design and screening of antiviral drugs thanks to recent revelations about virus replication mechanisms and the advancement of molecular docking technology. This review will summarize recently discovered antiviral drugs, mechanisms of action, and screening and design strategies for novel antiviral agents.
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Affiliation(s)
- Wen-Jun Tian
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, China Agricultural University, Beijing 100193, China
| | - Xiao-Jia Wang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, China Agricultural University, Beijing 100193, China
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18
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Rahmani F, Imani Fooladi AA, Ajoudanifar H, Soleimani NA. In silico and experimental methods for designing a potent anticancer arazyme-herceptin fusion protein in HER2-positive breast cancer. J Mol Model 2023; 29:160. [PMID: 37103612 DOI: 10.1007/s00894-023-05562-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 04/17/2023] [Indexed: 04/28/2023]
Abstract
CONTEXT Breast cancer is the most prevalent type of malignancies among women worldwide and is associated with serious physical and mental consequences. Current chemotherapies may lack successful outcomes; thus, the development of targeted recombinant immunotoxins is plausible. The predicted B cell and T cell epitopes of arazyme of the fusion protein are able to elicit immune response. The results of codon adaptation tool of herceptin-arazyme have improved from 0.4 to 1. The in silico immune simulation results showed significant response for immune cells. In conclusion, our findings show that the known multi-epitope fusion protein may activate humoral and cellular immune responses and maybe a possible candidate for breast cancer treatment. METHODS In this study, the selected monoclonal antibody constituting herceptin and the bacterial metalloprotease, arazyme, was used with different peptide linkers to design a novel fusion protein to predict different B cell and T cell epitopes by the means of the relevant databases. Modeler 10.1 and I-TASSER online server were used to predict and validate the 3D structure and then docked to HER2-receptor using HADDOCK2.4 web server. The molecular dynamics (MD) simulations of the arazyme-linker-herceptin-HER2 complex were performed by GROMACS 2019.6 software. The sequence of arazyme-herceptin was optimized for the expression in prokaryotic host using online servers and cloned into pET-28a plasmid. The recombinant pET28a was transferred into the Escherichia coli BL21DE3. Expression and binding affinity of arazyme-herceptin and arazyme to human breast cancer cell lines (SK-BR-3/HER2 + and MDA-MB-468/HER2 -) were validated by the SDS-PAGE and cell‑ELISA, respectively.
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Affiliation(s)
- Farideh Rahmani
- Department of Microbiology, Damghan Branch, Islamic Azad University, Damghan, Iran
| | - Abbas Ali Imani Fooladi
- Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
| | - Hatef Ajoudanifar
- Department of Microbiology, Damghan Branch, Islamic Azad University, Damghan, Iran
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19
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Hessien M, Donia T, Tabll AA, Adly E, Abdelhafez TH, Attia A, Alkafaas SS, Kuna L, Glasnovic M, Cosic V, Smolic R, Smolic M. Mechanistic-Based Classification of Endocytosis-Related Inhibitors: Does It Aid in Assigning Drugs against SARS-CoV-2? Viruses 2023; 15:v15051040. [PMID: 37243127 DOI: 10.3390/v15051040] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/13/2023] [Accepted: 04/19/2023] [Indexed: 05/28/2023] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) canonically utilizes clathrin-mediated endocytosis (CME) and several other endocytic mechanisms to invade airway epithelial cells. Endocytic inhibitors, particularly those targeting CME-related proteins, have been identified as promising antiviral drugs. Currently, these inhibitors are ambiguously classified as chemical, pharmaceutical, or natural inhibitors. However, their varying mechanisms may suggest a more realistic classification system. Herein, we present a new mechanistic-based classification of endocytosis inhibitors, in which they are segregated among four distinct classes including: (i) inhibitors that disrupt endocytosis-related protein-protein interactions, and assembly or dissociation of complexes; (ii) inhibitors of large dynamin GTPase and/or kinase/phosphatase activities associated with endocytosis; (iii) inhibitors that modulate the structure of subcellular components, especially the plasma membrane, and actin; and (iv) inhibitors that cause physiological or metabolic alterations in the endocytosis niche. Excluding antiviral drugs designed to halt SARS-CoV-2 replication, other drugs, either FDA-approved or suggested through basic research, could be systematically assigned to one of these classes. We observed that many anti-SARS-CoV-2 drugs could be included either in class III or IV as they interfere with the structural or physiological integrity of subcellular components, respectively. This perspective may contribute to our understanding of the relative efficacy of endocytosis-related inhibitors and support the optimization of their individual or combined antiviral potential against SARS-CoV-2. However, their selectivity, combined effects, and possible interactions with non-endocytic cellular targets need more clarification.
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Affiliation(s)
- Mohamed Hessien
- Molecular Cell Biology Unit, Division of Biochemistry, Department of Chemistry, Faculty of Science, Tanta University, Tanta 31527, Egypt
| | - Thoria Donia
- Molecular Cell Biology Unit, Division of Biochemistry, Department of Chemistry, Faculty of Science, Tanta University, Tanta 31527, Egypt
| | - Ashraf A Tabll
- National Research Centre, Microbial Biotechnology Department, Biotechnology Research Institute, Giza 12622, Egypt
- Egypt Center for Research and Regenerative Medicine (ECRRM), Cairo 11517, Egypt
| | - Eiman Adly
- Molecular Cell Biology Unit, Division of Biochemistry, Department of Chemistry, Faculty of Science, Tanta University, Tanta 31527, Egypt
| | - Tawfeek H Abdelhafez
- National Research Centre, Microbial Biotechnology Department, Biotechnology Research Institute, Giza 12622, Egypt
| | - Amany Attia
- Molecular Cell Biology Unit, Division of Biochemistry, Department of Chemistry, Faculty of Science, Tanta University, Tanta 31527, Egypt
| | - Samar Sami Alkafaas
- Molecular Cell Biology Unit, Division of Biochemistry, Department of Chemistry, Faculty of Science, Tanta University, Tanta 31527, Egypt
| | - Lucija Kuna
- Department of Pharmacology and Biochemistry, Faculty of Dental Medicine and Health Osijek, University of J. J. Strossmayer Osijek, 31000 Osijek, Croatia
| | - Marija Glasnovic
- Department of Medicine, Family Medicine and History of Medicine, Faculty of Medicine Osijek, University of J. J. Strossmayer Osijek, 31000 Osijek, Croatia
| | - Vesna Cosic
- Department of Paediatrics and Gynaecology with Obstetrics, Faculty of Dental Medicine and Health Osijek, University of J. J. Strossmayer Osijek, 31000 Osijek, Croatia
| | - Robert Smolic
- Department of Pharmacology and Biochemistry, Faculty of Dental Medicine and Health Osijek, University of J. J. Strossmayer Osijek, 31000 Osijek, Croatia
| | - Martina Smolic
- Department of Pharmacology and Biochemistry, Faculty of Dental Medicine and Health Osijek, University of J. J. Strossmayer Osijek, 31000 Osijek, Croatia
- Department of Pharmacology, Faculty of Medicine Osijek, University of Osijek, 31000 Osijek, Croatia
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20
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Sawang N, Phongphanphanee S, Wong-ekkabut J, Sutthibutpong T. Biophysical Interpretation of Evolutionary Consequences on the SARS-CoV2 Main Protease through Molecular Dynamics Simulations and Network Topology Analysis. J Phys Chem B 2023; 127:2331-2343. [PMID: 36913683 PMCID: PMC10022058 DOI: 10.1021/acs.jpcb.2c08312] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 02/25/2023] [Indexed: 03/14/2023]
Abstract
In this study, we present a combined analysis procedure between atomistic molecular dynamics (MD) simulations and network topology to obtain more understanding on the evolutionary consequences on protein stability and substrate binding of the main protease enzyme of SARS-CoV2. Communicability matrices of the protein residue networks (PRNs) were extracted from MD trajectories of both Mpro enzymes in complex with the nsp8/9 peptide substrate to compare the local communicability within both proteases that would affect the enzyme function, along with biophysical details on global protein conformation, flexibility, and contribution of amino acid side chains to both intramolecular and intermolecular interactions. The analysis displayed the significance of the mutated residue 46 with the highest communicability gain to the binding pocket closure. Interestingly, the mutated residue 134 with the highest communicability loss corresponded to a local structural disruption of the adjacent peptide loop. The enhanced flexibility of the disrupted loop connecting to the catalytic residue Cys145 introduced an extra binding mode that brought the substrate in proximity and could facilitate the reaction. This understanding might provide further help in the drug development strategy against SARS-CoV2 and prove the capability of the combined techniques of MD simulations and network topology analysis as a "reverse" protein engineering tool.
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Affiliation(s)
- Nuttawat Sawang
- Theoretical
and Computational Physics Group, Department of Physics, King Mongkut’s University of Technology Thonburi
(KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand
- Center
of Excellence in Theoretical and Computational Science (TaCS-CoE),
Faculty of Science, King Mongkut’s
University of Technology Thonburi (KMUTT), 126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, Thailand
| | - Saree Phongphanphanee
- Computational
Biomodelling Laboratory for Agricultural Science and Technology (CBLAST),
Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
- Thailand
Center of Excellence in Physics (ThEP Center), Ministry of Higher Education, Science, Research and Innovation, Bangkok 10400, Thailand
- Department
of Materials Science, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
| | - Jirasak Wong-ekkabut
- Computational
Biomodelling Laboratory for Agricultural Science and Technology (CBLAST),
Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
- Thailand
Center of Excellence in Physics (ThEP Center), Ministry of Higher Education, Science, Research and Innovation, Bangkok 10400, Thailand
- Department
of Physics, Faculty of Science, Kasetsart
University, Bangkok 10900, Thailand
| | - Thana Sutthibutpong
- Theoretical
and Computational Physics Group, Department of Physics, King Mongkut’s University of Technology Thonburi
(KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand
- Center
of Excellence in Theoretical and Computational Science (TaCS-CoE),
Faculty of Science, King Mongkut’s
University of Technology Thonburi (KMUTT), 126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, Thailand
- Computational
Biomodelling Laboratory for Agricultural Science and Technology (CBLAST),
Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
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21
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Exploring the Potential of Black Soldier Fly Larval Proteins as Bioactive Peptide Sources through in Silico Gastrointestinal Proteolysis: A Cheminformatic Investigation. Catalysts 2023. [DOI: 10.3390/catal13030605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
Despite their potential as a protein source for human consumption, the health benefits of black soldier fly larvae (BSFL) proteins following human gastrointestinal (GI) digestion are poorly understood. This computational study explored the potential of BSFL proteins to release health-promoting peptides after human GI digestion. Twenty-six proteins were virtually proteolyzed with GI proteases. The resultant peptides were screened for high GI absorption and non-toxicity. Shortlisted peptides were searched against the BIOPEP-UWM and Scopus databases to identify their bioactivities. The potential of the peptides as inhibitors of myeloperoxidase (MPO), NADPH oxidase (NOX), and xanthine oxidase (XO), as well as a disruptor of Keap1–Nrf2 protein–protein interaction, were predicted using molecular docking and dynamics simulation. Our results revealed that about 95% of the 5218 fragments generated from the proteolysis of BSFL proteins came from muscle proteins. Dipeptides comprised the largest group (about 25%) of fragments arising from each muscular protein. Screening of 1994 di- and tripeptides using SwissADME and STopTox tools revealed 65 unique sequences with high GI absorption and non-toxicity. A search of the databases identified 16 antioxidant peptides, 14 anti-angiotensin-converting enzyme peptides, and 17 anti-dipeptidyl peptidase IV peptides among these sequences. Results from molecular docking and dynamic simulation suggest that the dipeptide DF has the potential to inhibit Keap1–Nrf2 interaction and interact with MPO within a short time frame, whereas the dipeptide TF shows promise as an XO inhibitor. BSFL peptides were likely weak NOX inhibitors. Our in silico results suggest that upon GI digestion, BSFL proteins may yield high-GI-absorbed and non-toxic peptides with potential health benefits. This study is the first to investigate the bioactivity of peptides liberated from BSFL proteins following human GI digestion. Our findings provide a basis for further investigations into the potential use of BSFL proteins as a functional food ingredient with significant health benefits.
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22
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Li R, Wu J, He F, Xu Q, Yin K, Li S, Li W, Wei A, Zhang L, Zhang XH, Zhang B. Rational design, synthesis, antifungal evaluation and docking studies of antifungal peptide CGA-N12 analogues based on the target CtKRE9. Bioorg Chem 2023; 132:106355. [PMID: 36669359 DOI: 10.1016/j.bioorg.2023.106355] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/02/2022] [Accepted: 01/08/2023] [Indexed: 01/12/2023]
Abstract
Candida tropicalis is a major non-albicans species that causes invasive candidiasis. CGA-N12, an anti-Candida peptide found by our group, disrupted cell wall architecture by inhibiting the activity of the protein killer-resistant 9 (KRE9), a β-1,6-glucan synthase specific to Candida spp. and plants. Herein, a set of CGA-N12 analogues were rationally designed based on the interaction networks between CGA-N12 and C. tropicalis KRE9 (CtKRE9). Seven CGA-N12 analogues with significantly improved antifungal activity against C. tropicalis were screened by reducing the docking energy of CGA-N12 and CtKRE9 and increasing the number of positive charges on CGA-N12 based on a stable three-dimensional model of CtKRE9. CGA-N12 and its analogues exhibited antifungal activity against C. tropicalis and its persist cells; they also inhibited biofilm formation and eradicated preformed biofilms. Compared with fluconazole, they displayed higher activities against the growth of persister cells and more effective preformed biofilm eradication. Among them, CGA-N12-0801, CGA-N12-0902 and CGA-N12-1002 displayed much higher activity and anti-proteinase digestion stability than CGA-N12. Specifically, CGA-N12-0801 was the optimal analogue, with a minimum inhibitory concentration of 3.46 μg/mL and a therapeutic index of 158.07. The results of electronic microscopy observations and KRE9 activity inhibition assays showed that CGA-N12 and its analogues killed C. tropicalis by disrupting the architecture of the cell wall and the integrity of the cell membrane. In conclusion, for the first time, we provide a simple and reliable method for the rational design of antimicrobial peptides and ideal candidates for treating Candida infections that not effectively eliminated by azole drugs.
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Affiliation(s)
- Ruifang Li
- College of Biological Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China; Key Laboratory of Functional Molecules for Biomedical Research, Henan University of Technology, 450001 Zhengzhou, Henan, PR China.
| | - Jiasha Wu
- College of Biological Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China; Key Laboratory of Functional Molecules for Biomedical Research, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Fuyang He
- School of Artificial Intelligence and Big Data, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Qingpeng Xu
- College of Information Science and Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Kedong Yin
- College of Information Science and Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Shang Li
- College of Biological Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Weitong Li
- College of Biological Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Ao Wei
- College of Biological Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Lan Zhang
- College of Biological Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China; Key Laboratory of Functional Molecules for Biomedical Research, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Xin-Hui Zhang
- College of Biological Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China; Key Laboratory of Functional Molecules for Biomedical Research, Henan University of Technology, 450001 Zhengzhou, Henan, PR China
| | - Beibei Zhang
- College of Biological Engineering, Henan University of Technology, 450001 Zhengzhou, Henan, PR China; Key Laboratory of Functional Molecules for Biomedical Research, Henan University of Technology, 450001 Zhengzhou, Henan, PR China.
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23
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Folic Acid and Leucovorin Have Potential to Prevent SARS-CoV-2-Virus Internalization by Interacting with S-Glycoprotein/Neuropilin-1 Receptor Complex. Molecules 2023; 28:molecules28052294. [PMID: 36903540 PMCID: PMC10005443 DOI: 10.3390/molecules28052294] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/25/2023] [Accepted: 02/26/2023] [Indexed: 03/06/2023] Open
Abstract
The interaction of the SARS-CoV-2 spike (S) glycoprotein receptor-binding domain with the host-cell ACE2 receptor is a well-known step in virus infection. Neuropilin-1 (NRP-1) is another host factor involved in virus internalization. The interaction between S-glycoprotein and NRP-1 has been identified as a potential COVID-19 treatment target. Herein, the effectiveness of folic acid and leucovorin in preventing contact between S-glycoprotein and NRP-1 receptors was investigated using in silico studies and then confirmed in vitro. The results of a molecular docking study showed that leucovorin and folic acid had lower binding energies than EG01377, a well-known NRP-1 inhibitor, and lopinavir. Two hydrogen bonds with Asp 320 and Asn 300 residues stabilized the leucovorin, while interactions with Gly 318, Thr 349, and Tyr 353 residues stabilized the folic acid. The molecular dynamic simulation revealed that the folic acid and leucovorin created very stable complexes with the NRP-1. The in vitro studies showed that the leucovorin was the most active inhibitor of the S1-glycoprotein/NRP-1 complex formation, with an IC75 value of 185.95 µg/mL. The results of this study suggest that folic acid and leucovorin could be considered as potential inhibitors of the S-glycoprotein/NRP-1 complex and, thus, could prevent the SARS-CoV-2 virus' entry into host cells.
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24
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Molecular Design and In-Silico Analysis of Trisubstituted Benzimidazole Derivatives as Ftsz Inhibitor. J CHEM-NY 2023. [DOI: 10.1155/2023/9307613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023] Open
Abstract
Tuberculosis (TB) is the fastest spreading infectious disease and one of the top ten diseases that kill millions of people annually. The rapid spread of a multidrug-resistant strain of Mycobacterium tuberculosis leads to multidrug-resistance tuberculosis (MDR-TB), which is very difficult to treat. Filament temperature-sensitive protein ring-Z (Ftsz) protein could be the best target to inhibit bacterial cytokinesis. This research is conducted to predict the antitubercular activity of trisubstituted benzimidazole derivatives targeting FtsZ protein by an in-silico approach (molecular docking, pharmacokinetic parameter, drug likeliness, toxicity prediction, and biological activity prediction). Amine and aldehyde substitutions are used as primary scaffolds to design 20 trisubstituted benzimidazole derivatives for molecular docking. AutoDock vina v.1.2.0 software was used to predict the binding interaction between ligand and receptor (FtsZ, PDB ID : 1RQ7). The drug-likeliness properties and toxicity of ligands were predicted from SwissADMET and ToxiM web servers, respectively. Compound A15 (2,3,5,6-tetrafluoro-N1-{6-fluoro-5-[4-(1H-imidazole-1-yl) phenoxy]-1H-1,3-benzodiazol-2-yl} benzene-1,4-diamine) showed the best binding energy (ΔG = −10.2 kcal/mol/) along with four hydrogen bond interactions (GLY107, PHE180, ASP 184). Similarly, compounds A19 and A20 have the best binding score of −9.8 kcal/mol, with excellent pharmacokinetic parameters. It is found that the binding energy of all ligands (ΔG = −8.0 to −10.2 kcal/mol) is better than the reference compound Moxifloxacin (ΔG = −7.7 kcal/mol). None of the ligands violate Lipinski’s rule, but all ligands’ toxicity is slightly high (>0.8 score). It is reported that the amine-substituted benzimidazole derivatives have better binding energy than the aldehyde substitution. Therefore, it is concluded that compounds A19 and A20 can be the best candidate as Ftsz protein inhibitors but an in-vitro animal study and toxicity study are necessary to validate these data.
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25
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Singh IA, Lokhande KB, Swamy KV. Identification and Screening of Novel Anti-Cancer Compounds for Aurora Kinase-A from Chemical Database. Drug Res (Stuttg) 2023; 73:30-39. [PMID: 36138546 DOI: 10.1055/a-1877-4693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Aurora kinase is a group of enzymes that belongs to a serine-threonine family and plays a critical role in cellular division. Aurora Kinase A is overexpressed and distributed beyond the nucleus and is involved in tumorigenesis. Flavones are a class of flavonoids that are present in plants that show anticancer activity. Similar compounds of 2'Fluoroflavones are retrieved from the PubChem database. Then drug-like filters viz. REOS and PAINS were applied to remove toxic compounds using Canvas software, resulting in 3882 compounds being subjected to Glide docking with Aurora kinase A. The lead compounds were selected on the merit of hydrogen bonding, salt bridge, as well as pi-pi interactions, 4-(6-Fluoro-4-oxychromen-2yl) benzoic acid, has been found one of the best molecules from docking studies. The binding mode of the lead compound with AURKA reveals that the amino acid residues viz, Lys162, Ala213, and His280 are more important for binding with the binding affinity of -11.760 kcal/mol. The molecular dynamics simulations of 100 ns were done, which shows the mean RMSD value of 1.77 Å for all 3 complexes of the protein and Fluoroflavone and its analogs. This shows that Fluoroflavone and its 2 best analogs are tightly attached to the active sites and thus have conformational stability. Our finding suggests that 4-(6-fluoro-4-oxochromen-2-yl)benzoic acid and 4-(4-Oxochromen-2-yl)benzoate can be further used in vitro and in vivo experiments and can probably serve as a novel drug for cancer treatment.
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Affiliation(s)
- Ipsa A Singh
- Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India
| | - Kiran Bharat Lokhande
- Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India
| | - K Venkateswara Swamy
- Drug Discovery Group, MIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune, India
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26
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Choudhary K, Prasad SR, Lokhande KB, Murti K, Singh S, Ravichandiran V, Kumar N. 4-Methylesculetin ameliorates LPS-induced depression-like behavior through the inhibition of NLRP3 inflammasome. Front Pharmacol 2023; 14:1120508. [PMID: 36909194 PMCID: PMC9995395 DOI: 10.3389/fphar.2023.1120508] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 02/07/2023] [Indexed: 02/25/2023] Open
Abstract
The pathophysiology of depression is heavily dependent on inflammation. Evidence suggests that the etiology of depression is linked with NLRP3 inflammasome-induced inflammation. Therefore, blocking the activated NLRP3 inflammasome may be beneficial for treating depression. Due to the limitations of currently available antidepressants, it is necessary to develop novel, safe, and affordable drugs for the treatment of depression. A natural coumarin derivative named 4-methylesculetin (4-MESC) possesses anti-inflammatory properties. However, the role of 4-MESC as an antidepressant has not been elucidated. Therefore, in this study, we explored the antidepressant-like effects of 4-MESC and its underlying molecular mechanism through the modulation of the NLRP3 inflammasome. The docking and molecular dynamic simulation studies revealed that 4-MESC has a higher affinity for the NLRP3 PYD. Blood-brain barrier permeability was confirmed using the SwissADME pharmacokinetic tool. High doses (50 mg/kg) of 4-MESC significantly reduced the immobility duration in the tail-suspension test (TST) and forced swim test (FST) without changing the overall locomotor activity in the female Swiss albino mice that were subjected to lipopolysaccharide (LPS). LPS-induced pro-inflammatory cytokines such as IL-6 and TNF-α were reduced in serum and brain tissues using 4-MESC. 4-MESC's neuroprotective effects are mediated by increased brain-derived neurotrophic factor (BDNF) and decreased cortisol levels. 4-MESC markedly reduced LPS-induced elevated levels of ROS and lipid peroxidation (malondialdehyde levels) and enhanced the superoxide dismutase (SOD) activity and glutathione levels, which revealed its anti-oxidant potential against oxidative stress. 4-MESC diminished the expression levels of NF-κBp65, IL-6, NLRP3, caspase-1, gasdermin D, and IL-1β in the hippocampus. These findings demonstrated that 4-MESC exhibited antidepressant-like effects by inhibiting the NLRP3 inflammasome. However, other antidepressant mechanisms might also be involved which require further studies.
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Affiliation(s)
- Khushboo Choudhary
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Hajipur, Hajipur, India
| | - Surendra Rajit Prasad
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research-Hajipur, Hajipur, India
| | - Kiran Bharat Lokhande
- Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar University, GBNagar, Uttar Pradesh, India
| | - Krishna Murti
- Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research-Hajipur, Hajipur, India
| | - Sanjiv Singh
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Hajipur, Hajipur, India
| | - Velayutham Ravichandiran
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Hajipur, Hajipur, India.,Department of Biotechnology, National Institute of Pharmaceutical Education and Research-Hajipur, Hajipur, India.,Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research-Hajipur, Hajipur, India
| | - Nitesh Kumar
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Hajipur, Hajipur, India
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27
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Nagare S, Lokhande KB, Swamy KV. Molecular Docking and Simulation Studies of Flavanone and its Derived Compounds on PI3K-AKT Pathway Targeting against Cancer. Curr Drug Discov Technol 2023; 20:21-29. [PMID: 35657284 DOI: 10.2174/1570163819666220526150152] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 12/21/2021] [Accepted: 02/28/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Flavanone compounds and their related derivatives are reported in controlling cell cycle, angiogenesis, and metastasis. Phosphoinositide 3-kinases is a major drug target. METHODS Crystalize structure of Phosphoinositide 3-kinases-Akt complex obtained from Protein Data Bank (PDBID: 3CQW) was selected as receptor protein and the binding site has been identified with PDBSum Database. Flavanone and its derivatives were retrieved using freely available existing drug databases like Drug Bank, Zinc, and PubChem. New derivatives were modified by altering the flavanone at Beta ring position. This modification would help in maintaining stable structural conformation and retaining better anticancer activity. Retrieved Flavanone derivatives from the drug database were docked against 3CQW Protein with the advanced docking tool FlexX. MD simulations of the best molecule were performed with the Desmond package by calculating nonbonding interactions such as electrostatic interaction and hydrogen bond stable and favorable conformations were calculated. RESULTS These interaction studies would help identify new potential drug candidates with the help of computer-aided drug designing techniques. CONCLUSION Natural chemicals have received a lot of attention because of their vast range of applications in human health and disease prevention without creating any negative side effects. Molecular docking is an essential approach for drug development since it allows for effective screening of potential therapeutics in a short time. We hypothesized in this paper that natural flavanone and its derivatives may be effective as Akt-1 inhibitors.
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Affiliation(s)
- Sagar Nagare
- School of Biotechnology and Bioinformatics, D.Y. Patil Deemed to be University, CBD Belapur, Navi Mumbai, Maharashtra, 400614, India
- Bioinformatics Research Laboratory, Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Tathawade, Pune, Maharashtra, 411033, India
| | - Kiran Bharat Lokhande
- Bioinformatics Research Laboratory, Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Tathawade, Pune, Maharashtra, 411033, India
| | - K Venkateswara Swamy
- MIT School of Bioengineering Sciences & Research, MIT Art, Design and Technology University, Pune 412201, India
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28
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Bello SO, Yunusa A, Adamu AA, Imam MU, Bello MB, Shuaibu A, Igumbor EU, Habib ZG, Popoola MA, Ochu CL, Bello AY, Deeni YY, Okoye I. Innovative, rapid, high-throughput method for drug repurposing in a pandemic-A case study of SARS-CoV-2 and COVID-19. Front Pharmacol 2023; 14:1130828. [PMID: 36937851 PMCID: PMC10014809 DOI: 10.3389/fphar.2023.1130828] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/20/2023] [Indexed: 03/05/2023] Open
Abstract
Several efforts to repurpose drugs for COVID-19 treatment have largely either failed to identify a suitable agent or agents identified did not translate to clinical use. Reasons that have been suggested to explain the failures include use of inappropriate doses, that are not clinically achievable, in the screening experiments, and the use of inappropriate pre-clinical laboratory surrogates to predict efficacy. In this study, we used an innovative algorithm, that incorporates dissemination and implementation considerations, to identify potential drugs for COVID-19 using iterative computational and wet laboratory methods. The drugs were screened at doses that are known to be achievable in humans. Furthermore, inhibition of viral induced cytopathic effect (CPE) was used as the laboratory surrogate to predict efficacy. Erythromycin, pyridoxine, folic acid and retapamulin were found to inhibit SARS-CoV-2 induced CPE in Vero cells at concentrations that are clinically achievable. Additional studies may be required to further characterize the inhibitions of CPE and the possible mechanisms.
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Affiliation(s)
- Shaibu Oricha Bello
- Department of Pharmacology and Therapeutics, Faculty of Basic Clinical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Abuja, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
- *Correspondence: Shaibu Oricha Bello,
| | - Abdulmajeed Yunusa
- Department of Pharmacology and Therapeutics, Faculty of Basic Clinical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Adamu Ahmed Adamu
- Department of Pharmacology and Therapeutics, Faculty of Basic Clinical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Mustapha Umar Imam
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
- Department of Medical Biochemistry, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Muhammad Bashir Bello
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
- Department of veterinary Microbiology, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Abdulmalik Shuaibu
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
- Department of veterinary Microbiology, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Ehimario Uche Igumbor
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Abuja, Nigeria
- School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - Zaiyad Garba Habib
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Abuja, Nigeria
- Department of Medicine, University of Abuja Teaching Hospital, Gwagwalada, Abuja, Nigeria
| | - Mustapha Ayodele Popoola
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Abuja, Nigeria
| | - Chinwe Lucia Ochu
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Abuja, Nigeria
- Nigerian Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Aishatu Yahaya Bello
- Department of Clinical pharmacy and Pharmacy Practice, Faculty of Pharmaceutical sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Yusuf Yahaya Deeni
- Nigerian COVID-19 Research Coalition, Nigerian Institute of Medical Research Institute, Abuja, Nigeria
- Department of Microbiology and Biotechnology, Federal University of Dutse, Dutse, Nigeria
- Centre for Environmental and Public Health Research and Development, Kano, Nigeria
| | - Ifeoma Okoye
- University of Nigeria Centre for Clinical Trials, University of Nigeria Teaching Hospital, Enugu, Ituku Ozalla, Nigeria
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29
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Gouhar SA, Elshahid ZA. Molecular docking and simulation studies of synthetic protease inhibitors against COVID-19: a computational study. J Biomol Struct Dyn 2022; 40:13976-13996. [PMID: 34738871 DOI: 10.1080/07391102.2021.1997822] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
COVID-19 is the most recent threat to global health. Many people preferred treatment in case of infection instead of vaccination. The inhibition of viral replication is a good strategy for the treatment of COVID-19 infection. 3CLpro and PLpro are two important viral proteases responsible for proteolysis, infection, and replication of the virus. Therefore, targeting of these two enzymes is an attractive way to deal with COVID-19. The aim of this study was to screen some synthetic protease inhibitors to determine an appropriate hit molecule against COVID-19 using molecular docking and molecular dynamic simulations. The strategy depends on docking existing synthetic compounds mostly HIV protease inhibitors against two COVID-19 proteases to identify promising drugs for the treatment of COVID-19. We used protein data bank to obtain the X-ray crystal structure of the most important COVID-19 proteases 3CL pro (PDB ID: 6M2N) and PL pro (PDB ID: 6WX4). In this conceptual context, an attempt has been made to suggest an in silico computational relationship between 50 synthetic protease inhibitors and COVID-19 proteases. Out of 50 screened compounds, the best docking scores were found for these five protease inhibitors BDBM7021, BDBM698, BDBM694, BDBM93239, BDBM700. A 100-ns MD simulation was carried out to assess the stability of COVID-19 proteases and inhibitors, revealing an average RMSD value of 0.7 and favorable binding free energy (MM-GBSA) for all complexes confirming their potency as powerful binders in the COVID-19 proteases' binding pocket. Furthermore, the current results must be confirmed using in-vitro and in-vivo antiviral methods.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Shaimaa A Gouhar
- Medical Biochemistry Department, Medical Research Division, National Research Centre, Cairo, Egypt
| | - Zeinab A Elshahid
- Chemistry of Natural and Microbial Products, Pharmaceutical Industry Research Division, National Research Center, Cairo, Egypt
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The novel anti-cancer feature of Brazzein through activating of hTLR5 by integration of biological evaluation: molecular docking and molecular dynamics simulation. Sci Rep 2022; 12:21979. [PMID: 36539522 PMCID: PMC9768156 DOI: 10.1038/s41598-022-26487-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
Many of plant proteins exhibit the properties similar to the antitumor proteins although the anticancer activity of Brazzein on modulating the autophagy signaling pathway has not been determined so far. The present study aimed to develop a simplified system to enable the rational design of the activating extracellular domain of human Toll-like receptor 5 (hTLR5). To identify the anticancer effect of Brazzein, HADDOCK program and molecular dynamics (MD) simulation were applied to examine the binding of the wild type (WT) and p.A19K mutant of Brazzein to the TLR5. The expression of MAP1S and TNF-α genes was estimated based on real-time PCR. The results clearly confirmed that the WT of Brazzein activated hTLR5 in the MCF-7 cell line since the genes were more and significantly less expressed in the cells treated with the WT and p.A19K mutant than the control, respectively. The snapshots of MD simulation exhibit the consistent close interactions of hTLR5 with the two helices of Brazzein on its lateral side. The results of per residue-free energy decomposition analysis substantiate those of intermolecular contact analysis perfectly one. We propose that the WT of Brazzein can act as an antitumor drug candidate.
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Chen YM, Wei JL, Qin RS, Hou JP, Zang GC, Zhang GY, Chen TT. Folic acid: a potential inhibitor against SARS-CoV-2 nucleocapsid protein. PHARMACEUTICAL BIOLOGY 2022; 60:862-878. [PMID: 35594385 PMCID: PMC9132477 DOI: 10.1080/13880209.2022.2063341] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 02/03/2022] [Accepted: 04/01/2022] [Indexed: 06/01/2023]
Abstract
CONTEXT Coronavirus disease 2019 is a global pandemic. Studies suggest that folic acid has antiviral effects. Molecular docking shown that folic acid can act on SARS-CoV-2 Nucleocapsid Phosphoprotein (SARS-CoV-2 N). OBJECTIVE To identify novel molecular therapeutic targets for SARS-CoV-2. MATERIALS AND METHODS Traditional Chinese medicine targets and virus-related genes were identified with network pharmacology and big data analysis. Folic acid was singled out by molecular docking, and its potential target SARS-CoV-2 N was identified. Inhibition of SARS-CoV-2 N of folic acid was verified at the cellular level. RESULTS In total, 8355 drug targets were potentially involved in the inhibition of SARS-CoV-2. 113 hub genes were screened by further association analysis between targets and virus-related genes. The hub genes related compounds were analysed and folic acid was screened as a potential new drug. Moreover, molecular docking showed folic acid could target on SARS-CoV-2 N which inhibits host RNA interference (RNAi). Therefore, this study was based on RNAi to verify whether folic acid antagonises SARS-CoV-2 N. Cell-based experiments shown that RNAi decreased mCherry expression by 81.7% (p < 0.001). This effect was decreased by 8.0% in the presence of SARS-CoV-2 N, indicating that SARS-CoV-2 N inhibits RNAi. With increasing of folic acid concentration, mCherry expression decreased, indicating that folic acid antagonises the regulatory effect of SARS-CoV-2 N on host RNAi. DISCUSSION AND CONCLUSIONS Folic acid may be an antagonist of SARS-CoV-2 N, but its effect on viruses unclear. In future, the mechanisms of action of folic acid against SARS-CoV-2 N should be studied.
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Affiliation(s)
- Yu-meng Chen
- Laboratory of Tissue and Cell Biology, Lab Teaching & Management Center, Chongqing Medical University, Chongqing, PR China
| | - Jin-lai Wei
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, PR China
| | - Rui-si Qin
- Laboratory of Tissue and Cell Biology, Lab Teaching & Management Center, Chongqing Medical University, Chongqing, PR China
| | - Jin-ping Hou
- General Surgery of Neonatal Surgery, Liangjiang District, Children's Hospital of Chongqing Medical University, Chongqing, PR China
| | - Guang-chao Zang
- Laboratory of Tissue and Cell Biology, Lab Teaching & Management Center, Chongqing Medical University, Chongqing, PR China
| | - Guang-yuan Zhang
- Laboratory of Tissue and Cell Biology, Lab Teaching & Management Center, Chongqing Medical University, Chongqing, PR China
- Pathogen Biology and Immunology Laboratory, Lab Teaching & Management Center, Chongqing Medical University, Chongqing, PR China
| | - Ting-ting Chen
- Laboratory of Tissue and Cell Biology, Lab Teaching & Management Center, Chongqing Medical University, Chongqing, PR China
- Pathogen Biology and Immunology Laboratory, Lab Teaching & Management Center, Chongqing Medical University, Chongqing, PR China
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Sreekumar S, M Kuthe A, Chandra Tripathi S, C Patil G, Ravikumar C. Integrated computational approach towards identification of HSPG and ACE2 mimicking moieties for SARS-CoV-2 inhibition. J Mol Liq 2022; 367:120566. [PMID: 36276265 PMCID: PMC9578758 DOI: 10.1016/j.molliq.2022.120566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 09/15/2022] [Accepted: 10/06/2022] [Indexed: 11/05/2022]
Abstract
A key step to inhibit severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is to prevent the entry of the virus into the host cells. The receptor-binding domains (RBDs) of spike proteins of SARS-CoV and other human coronaviruses utilize heparan sulfate proteoglycans (HSPGs) as the primary receptors for their accumulation on the cell surface and then scan for binding to the main entry receptor angiotensin-converting enzyme 2 (ACE2). SARS-CoV and SARS-CoV-2 share structurally similar RBDs and therefore, it is possible that SARS-COV-2 primarily binds to HSPGs followed by binding to the ACE2 receptors. A promising strategy to inhibit virus infection is to circulate exogenous bioactive moieties structurally mimicking cellular HSPG and ACE2 which act as decoy receptors binding to SARS-CoV-2 and competitively inhibit virus entry to the host cells mediated by cellular-bound HSPG and ACE2. Using a molecular docking tool, we identified carboxymethyl benzyl amide sulfonate (CMBS) and polyanetholesulfonic acid (PAS) as the suitable HSPG mimicking ligands, and Paenibacillus sp. B38-derived carboxypeptidase (B38-CAP) and Bacillus subtilis-derived carboxypeptidase (BS-CAP) as the potential ACE2-like enzymes having a strong binding affinity to the spike proteins as that of cellular HSPG and ACE2. Further, the binding stability and compactness of these moieties with SARS-CoV-2 were analyzed through molecular dynamics (MD) simulations, and the results indicated that these moieties form well-stable complexes with the RBD of spike proteins. The identified moieties could be conjugated to the surfaces of non-toxic nanoparticles to provide multiple interactions to efficiently shield SARS-CoV-2, and inhibit viral entry to the host cells.
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Affiliation(s)
- Sreya Sreekumar
- Department of Chemical Engineering, Visvesvaraya National Institute of Technology, India
| | - Abhaykumar M Kuthe
- Department of Mechanical Engineering, Visvesvaraya National Institute of Technology, India
| | | | - Ganesh C Patil
- Centre for VLSI and Nanotechnology, Visvesvaraya National Institute of Technology, India
| | - C Ravikumar
- Department of Chemical Engineering, Visvesvaraya National Institute of Technology, India
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Characterization of SARS-CoV-2 Isolate (MZ558159) Reported from India for in Silico Drug Designing. JOURNAL OF RESEARCH IN APPLIED AND BASIC MEDICAL SCIENCES 2022. [DOI: 10.52547/rabms.8.4.175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Maghsoudi S, Taghavi Shahraki B, Rameh F, Nazarabi M, Fatahi Y, Akhavan O, Rabiee M, Mostafavi E, Lima EC, Saeb MR, Rabiee N. A review on computer-aided chemogenomics and drug repositioning for rational COVID-19 drug discovery. Chem Biol Drug Des 2022; 100:699-721. [PMID: 36002440 PMCID: PMC9539342 DOI: 10.1111/cbdd.14136] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/07/2022] [Accepted: 08/21/2022] [Indexed: 11/29/2022]
Abstract
Application of materials capable of energy harvesting to increase the efficiency and environmental adaptability is sometimes reflected in the ability of discovery of some traces in an environment-either experimentally or computationally-to enlarge practical application window. The emergence of computational methods, particularly computer-aided drug discovery (CADD), provides ample opportunities for the rapid discovery and development of unprecedented drugs. The expensive and time-consuming process of traditional drug discovery is no longer feasible, for nowadays the identification of potential drug candidates is much easier for therapeutic targets through elaborate in silico approaches, allowing the prediction of the toxicity of drugs, such as drug repositioning (DR) and chemical genomics (chemogenomics). Coronaviruses (CoVs) are cross-species viruses that are able to spread expeditiously from the into new host species, which in turn cause epidemic diseases. In this sense, this review furnishes an outline of computational strategies and their applications in drug discovery. A special focus is placed on chemogenomics and DR as unique and emerging system-based disciplines on CoV drug and target discovery to model protein networks against a library of compounds. Furthermore, to demonstrate the special advantages of CADD methods in rapidly finding a drug for this deadly virus, numerous examples of the recent achievements grounded on molecular docking, chemogenomics, and DR are reported, analyzed, and interpreted in detail. It is believed that the outcome of this review assists developers of energy harvesting materials and systems for detection of future unexpected kinds of CoVs or other variants.
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Affiliation(s)
- Saeid Maghsoudi
- Faculty of Medicine, Department of Physiology and PathophysiologyUniversity of ManitobaWinnipegManitobaCanada
- Biology of Breathing Group, Children's Hospital Research Institute of Manitoba (CHRIM), University of ManitobaWinnipegManitobaCanada
| | | | | | - Masoomeh Nazarabi
- Faculty of Organic Chemistry, Department of ChemistryUniversity of KashanKashanIran
| | - Yousef Fatahi
- Department of Pharmaceutical Nanotechnology, Faculty of PharmacyTehran University of Medical SciencesTehranIran
- Nanotechnology Research Center, Faculty of PharmacyTehran University of Medical SciencesTehranIran
| | - Omid Akhavan
- Department of PhysicsSharif University of TechnologyTehranIran
| | - Mohammad Rabiee
- Biomaterials Group, Department of Biomedical EngineeringAmirkabir University of TechnologyTehranIran
| | - Ebrahim Mostafavi
- Stanford Cardiovascular Institute, Stanford University School of MedicineStanfordCaliforniaUSA
- Department of MedicineStanford University School of MedicineStanfordCaliforniaUSA
| | - Eder C. Lima
- Institute of Chemistry, Federal University of Rio Grande Do Sul (UFRGS)Porto AlegreBrazil
| | - Mohammad Reza Saeb
- Department of Polymer Technology, Faculty of ChemistryGdańsk University of TechnologyGdańskPoland
| | - Navid Rabiee
- Department of PhysicsSharif University of TechnologyTehranIran
- School of EngineeringMacquarie UniversitySydneyNew South WalesAustralia
- Department of Materials Science and EngineeringPohang University of Science and Technology (POSTECH)PohangSouth Korea
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Nada H, Elkamhawy A, Lee K. Identification of 1H-purine-2,6-dione derivative as a potential SARS-CoV-2 main protease inhibitor: molecular docking, dynamic simulations, and energy calculations. PeerJ 2022; 10:e14120. [PMID: 36225900 PMCID: PMC9549888 DOI: 10.7717/peerj.14120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/05/2022] [Indexed: 01/25/2023] Open
Abstract
The rapid spread of the coronavirus since its first appearance in 2019 has taken the world by surprise, challenging the global economy, and putting pressure on healthcare systems across the world. The introduction of preventive vaccines only managed to slow the rising death rates worldwide, illuminating the pressing need for developing effective antiviral therapeutics. The traditional route of drug discovery has been known to require years which the world does not currently have. In silico approaches in drug design have shown promising results over the last decade, helping to decrease the required time for drug development. One of the vital non-structural proteins that are essential to viral replication and transcription is the SARS-CoV-2 main protease (Mpro). Herein, using a test set of recently identified COVID-19 inhibitors, a pharmacophore was developed to screen 20 million drug-like compounds obtained from a freely accessible Zinc database. The generated hits were ranked using a structure based virtual screening technique (SBVS), and the top hits were subjected to in-depth molecular docking studies and MM-GBSA calculations over SARS-COV-2 Mpro. Finally, the most promising hit, compound (1), and the potent standard (III) were subjected to 100 ns molecular dynamics (MD) simulations and in silico ADME study. The result of the MD analysis as well as the in silico pharmacokinetic study reveal compound 1 to be a promising SARS-Cov-2 MPro inhibitor suitable for further development.
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Affiliation(s)
- Hossam Nada
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, South Korea,Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Badr University in Cairo, Cairo, Egypt
| | - Ahmed Elkamhawy
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, South Korea,Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt
| | - Kyeong Lee
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, South Korea
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Mousavi S, Zare S, Mirzaei M, Feizi A. Novel Drug Design for Treatment of COVID-19: A Systematic Review of Preclinical Studies. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2022; 2022:2044282. [PMID: 36199815 PMCID: PMC9527439 DOI: 10.1155/2022/2044282] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 05/23/2022] [Accepted: 08/03/2022] [Indexed: 11/27/2022]
Abstract
Background Since the beginning of the novel coronavirus (SARS-CoV-2) disease outbreak, there has been an increasing interest in discovering potential therapeutic agents for this disease. In this regard, we conducted a systematic review through an overview of drug development (in silico, in vitro, and in vivo) for treating COVID-19. Methods A systematic search was carried out in major databases including PubMed, Web of Science, Scopus, EMBASE, and Google Scholar from December 2019 to March 2021. A combination of the following terms was used: coronavirus, COVID-19, SARS-CoV-2, drug design, drug development, In silico, In vitro, and In vivo. A narrative synthesis was performed as a qualitative method for the data synthesis of each outcome measure. Results A total of 2168 articles were identified through searching databases. Finally, 315 studies (266 in silico, 34 in vitro, and 15 in vivo) were included. In studies with in silico approach, 98 article study repurposed drug and 91 studies evaluated herbal medicine on COVID-19. Among 260 drugs repurposed by the computational method, the best results were observed with saquinavir (n = 9), ritonavir (n = 8), and lopinavir (n = 6). Main protease (n = 154) following spike glycoprotein (n = 62) and other nonstructural protein of virus (n = 45) was among the most studied targets. Doxycycline, chlorpromazine, azithromycin, heparin, bepridil, and glycyrrhizic acid showed both in silico and in vitro inhibitory effects against SARS-CoV-2. Conclusion The preclinical studies of novel drug design for COVID-19 focused on main protease and spike glycoprotein as targets for antiviral development. From evaluated structures, saquinavir, ritonavir, eucalyptus, Tinospora cordifolia, aloe, green tea, curcumin, pyrazole, and triazole derivatives in in silico studies and doxycycline, chlorpromazine, and heparin from in vitro and human monoclonal antibodies from in vivo studies showed promised results regarding efficacy. It seems that due to the nature of COVID-19 disease, finding some drugs with multitarget antiviral actions and anti-inflammatory potential is valuable and some herbal medicines have this potential.
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Affiliation(s)
- Sarah Mousavi
- Department of Clinical Pharmacy and Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shima Zare
- School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahmoud Mirzaei
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Awat Feizi
- Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
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Mirzadeh A, Kobakhidze G, Vuillemot R, Jonic S, Rouiller I. In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor. BMC Mol Cell Biol 2022; 23:39. [PMID: 36088301 PMCID: PMC9464413 DOI: 10.1186/s12860-022-00437-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 07/13/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The AAA + ATPase p97 is an essential unfoldase/segragase involved in a multitude of cellular processes. It functions as a molecular machine critical for protein homeostasis, homotypic membrane fusion events and organelle biogenesis during mitosis in which it acts in concert with cofactors p47 and p37. Cofactors assist p97 in extracting and unfolding protein substrates through ATP hydrolysis. In contrast to other p97ʼs cofactors, p37 uniquely increases the ATPase activity of p97. Disease-causing mutations in p97, including mutations that cause neurodegenerative diseases, increase cofactor association with its N-domain, ATPase activity and improper substrate processing. Upregulation of p97 has also been observed in various cancers. This study aims towards the characterization of the protein–protein interaction between p97 and p37 at the atomic level. We defined the interacting residues in p97 and p37. The knowledge will facilitate the design of unique small molecules inhibiting this interaction with insights into cancer therapy and drug design.
Results
The homology model of human p37 UBX domain was built from the X-ray crystal structure of p47 C-terminus from rat (PDB code:1S3S, G) as a template and assessed by model validation analysis. According to the HDOCK, HAWKDOCK, MM-GBSA binding free energy calculations and Arpeggio, we found that there are several hydrophobic and two hydrogen-bonding interactions between p37 UBX and p97 N-D1 domain. Residues of p37 UBX predicted to be involved in the interactions with p97 N-D1 domain interface are highly conserved among UBX cofactors.
Conclusion
This study provides a reliable structural insight into the p37-p97 complex binding sites at the atomic level though molecular docking coupled with molecular dynamics simulation. This can guide the rational design of small molecule drugs for inhibiting mutant p97 activity.
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Samandar F, Tehranizadeh ZA, Saberi MR, Chamani J. CB1 as a novel target for Ginkgo biloba's terpene trilactone for controlling chemotherapy-induced peripheral neuropathy (CIPN). J Mol Model 2022; 28:283. [PMID: 36044079 DOI: 10.1007/s00894-022-05284-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 08/19/2022] [Indexed: 11/24/2022]
Abstract
The application of antineoplastic chemotherapeutic agents causes a common side effect known as chemotherapy-induced peripheral neuropathy (CIPN) that leads to reducing the quality of patient's life. This research involves the performance of molecular docking and molecular dynamic (MD) simulation studies to explore the impact of terpenoids of Ginkgo biloba on the targets (CB-1, TLR4, FAAH-1, COX-1, COX-2) that can significantly affect the controlling of CIPN's symptoms. According to the in-vitro and in-vivo investigations, terpenoids, particularly ginkgolides B, A, and bilobalide, can cause significant effects on neuropathic pain. The molecular docking results disclosed the tendency of our ligands to interact with mainly CB1 and FAAH-1, as well as partly with TLR4, throughout their interactions with targets. Terpene trilactone can exhibit a lower rate of binding energy than CB1's inhibitor (7dy), while being precisely located in the CB1's active site and capable of inducing stable interactions by forming hydrogen bonds. The analyses of MD simulation proved that ginkgolide B was a more suitable activator and inhibitor for CB1 and TLR4, respectively, when compared to bilobalide and ginkgolide A. Moreover, bilobalide is capable of inhibiting FAAH-1 more effectively than the two other ligands. According to the analyses of ADME, every three ligands followed the Lipinski's rule of five. Considering these facts, the exertion of three ligands is recommended for their anti-inflammatory, neuroprotective, and anti-nociception influences caused by primarily activating CB1 and inhibiting FAAH-1 and TLR4; in this regard, these compounds can stand as potential candidates for the control and treatment of CIPN's symptoms.
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Affiliation(s)
- Farzaneh Samandar
- Department of Biology, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Zeinab Amiri Tehranizadeh
- Department of Medicinal Chemistry, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Mohammad Reza Saberi
- Department of Medicinal Chemistry, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.,Bioinformatics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Jamshidkhan Chamani
- Department of Biology, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran
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Matondo A, Dendera W, Isamura BK, Ngbolua KTN, Mambo HVS, Muzomwe M, Mudogo V. In silico Drug Repurposing of Anticancer Drug 5-FU and Analogues Against SARS-CoV-2 Main Protease: Molecular Docking, Molecular Dynamics Simulation, Pharmacokinetics and Chemical Reactivity Studies. Adv Appl Bioinform Chem 2022; 15:59-77. [PMID: 35996620 PMCID: PMC9391940 DOI: 10.2147/aabc.s366111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 08/05/2022] [Indexed: 11/30/2022] Open
Abstract
Background Since the last COVID-19 outbreak, several approaches have been given a try to quickly tackle this global calamity. One of the well-established strategies is the drug repurposing, which consists in finding new therapeutic uses for approved drugs. Following the same paradigm, we report in the present study, an investigation of the potential inhibitory activity of 5-FU and nineteen of its analogues against the SARS-CoV-2 main protease (3CLpro). Material and Methods Molecular docking calculations were performed to investigate the binding affinity of the ligands within the active site of 3CLpro. The best binding candidates were further considered for molecular dynamics simulations for 100 ns to gain a time-resolved understanding of the behavior of the guest-host complexes. Furthermore, the profile of druggability of the best binding ligands was assessed based on ADMET predictions. Finally, their chemical reactivity was elucidated using different reactivity descriptors, namely the molecular electrostatic potential (MEP), Fukui functions and frontier molecular orbitals. Results and Discussion From the calculations performed, four candidates (compounds 14, 15, 16 and 18) show promising results with respect to the binding affinity to the target protease, 3CLpro, the therapeutic profile of druggability and safety. These compounds are maintained inside the active site of 3CLpro thanks to a variety of noncovalent interactions, especially hydrogen bonds, involving important amino acids such as GLU166, HIS163, GLY143, ASN142, HIS172, CYS145. Molecular dynamics simulations suggest that the four ligands are well trapped within the active site of the protein over a time gap of 100 ns, ligand 18 being the most retained. Conclusion In line with the findings reported herein, we recommend that further in-vitro and in-vivo investigations are carried out to shed light on the possible mechanism of pharmacological action of the proposed ligands.
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Affiliation(s)
- Aristote Matondo
- Department of Chemistry, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Washington Dendera
- Department of Chemistry, Rhodes University, Makhanda, Eastern Cape, South Africa
| | - Bienfait Kabuyaya Isamura
- Department of Chemistry, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.,Department of Chemistry, Rhodes University, Makhanda, Eastern Cape, South Africa.,Research Center for Theoretical Chemistry and Physics in Central Africa, Department of Chemistry, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Koto-Te-Nyiwa Ngbolua
- Department of Biology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Hilaire V S Mambo
- Department of Chemistry, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Mayaliwa Muzomwe
- Department of Chemistry, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Virima Mudogo
- Department of Chemistry, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
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Mahgoub MA, Alnaem A, Fadlelmola M, Abo-Idris M, Makki AA, Abdelgadir AA, Alzain AA. Discovery of novel potential inhibitors of TMPRSS2 and Mpro of SARS-CoV-2 using E-pharmacophore and docking-based virtual screening combined with molecular dynamic and quantum mechanics. J Biomol Struct Dyn 2022:1-14. [PMID: 35997154 DOI: 10.1080/07391102.2022.2112080] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The pandemic of coronavirus disease is caused by the SARS-CoV-2 which is considered a global health issue. The main protease of COVID 19 (Mpro) has an important role in viral multiplication in the host cell. Inhibiting Mpro is a novel approach to drug discovery and development. Also, transmembrane serine proteases (TMPSS2) facilitate viral activation by cleavage S glycoproteins, thus considered one of the essential host factors for COVID-19 pathogenicity. Computational tools were widely used to reduce time and costs in search of effective inhibitors. A chemical library that contains over two million molecules was virtually screened against TMPRSS2. Also, XP docking for the top hits was screened against (Mpro) to identify dual-target inhibitors. Furthermore, MM-GBSA and predictive ADMET were performed. The top hits were further studied through density functional theory (DFT) calculation and showed good binding to the active sites. Moreover, molecular dynamics (MD) for the top hits were performed which gave information about the stability of the protein-ligand complex during the simulation period. This study has led to the discovery of potential dual-target inhibitors Z751959696, Z751954014, and Z56784282 for COVID-19 with acceptable pharmacokinetic properties. The outcome of this study can participate in the development of novel inhibitors to defeat SARS-CoV-2.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Mohanad A Mahgoub
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan
| | - Ahmed Alnaem
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan
| | - Mohammed Fadlelmola
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan
| | - Mazin Abo-Idris
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan
| | - Alaa A Makki
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan
| | | | - Abdulrahim A Alzain
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan
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More-Adate P, Lokhande KB, Swamy KV, Nagar S, Baheti A. GC-MS profiling of Bauhinia variegata major phytoconstituents with computational identification of potential lead inhibitors of SARS-CoV-2 Mpro. Comput Biol Med 2022; 147:105679. [PMID: 35667152 PMCID: PMC9158327 DOI: 10.1016/j.compbiomed.2022.105679] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/26/2022] [Accepted: 05/30/2022] [Indexed: 01/18/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 was originally identified in Wuhan city of China in December 2019 and it spread rapidly throughout the globe, causing a threat to human life. Since targeted therapies are deficient, scientists all over the world have an opportunity to develop novel drug therapies to combat COVID-19. After the declaration of a global medical emergency, it was established that the Food and Drug Administration (FDA) could permit the use of emergency testing, treatments, and vaccines to decrease suffering, and loss of life, and restore the nation's health and security. The FDA has approved the use of remdesivir and its analogs as an antiviral medication, to treat COVID-19. The primary protease of SARS-CoV-2, which has the potential to regulate coronavirus proliferation, has been a viable target for the discovery of medicines against SARS-CoV-2. The present research deals with the in silico technique to screen phytocompounds from a traditional medicinal plant, Bauhinia variegata for potential inhibitors of the SARS-CoV-2 main protease. Dried leaves of the plant B. variegata were used to prepare aqueous and methanol extract and the constituents were analyzed using the GC-MS technique. A total of 57 compounds were retrieved from the aqueous and methanol extract analysis. Among these, three lead compounds (2,5 dimethyl 1-H Pyrrole, 2,3 diphenyl cyclopropyl methyl phenyl sulphoxide, and Benzonitrile m phenethyl) were shown to have the highest binding affinity (−5.719 to −5.580 kcal/mol) towards SARS-CoV-2 Mpro. The post MD simulation results also revealed the favorable confirmation and stability of the selected lead compounds with Mpro as per trajectory analysis. The Prime MM/GBSA binding free energy supports this finding, the top lead compound 2,3 diphenyl cyclopropyl methyl phenyl sulphoxide showed high binding free energy (−64.377 ± 5.24 kcal/mol) towards Mpro which reflects the binding stability of the molecule with Mpro. The binding free energy of the complexes was strongly influenced by His, Gln, and Glu residues. All of the molecules chosen are found to have strong pharmacokinetic characteristics and show drug-likeness properties. The lead compounds present acute toxicity (LD50) values ranging from 670 mg/kg to 2500 mg/kg; with toxicity classifications of 4 and 5 classes. Thus, these compounds could behave as probable lead candidates for treatment against SARS-CoV-2. However further in vitro and in vivo studies are required for the development of medication against SARS-CoV-2.
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Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022; 122:11287-11368. [PMID: 35594413 PMCID: PMC9159519 DOI: 10.1021/acs.chemrev.1c00965] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Despite tremendous efforts in the past two years, our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), virus-host interactions, immune response, virulence, transmission, and evolution is still very limited. This limitation calls for further in-depth investigation. Computational studies have become an indispensable component in combating coronavirus disease 2019 (COVID-19) due to their low cost, their efficiency, and the fact that they are free from safety and ethical constraints. Additionally, the mechanism that governs the global evolution and transmission of SARS-CoV-2 cannot be revealed from individual experiments and was discovered by integrating genotyping of massive viral sequences, biophysical modeling of protein-protein interactions, deep mutational data, deep learning, and advanced mathematics. There exists a tsunami of literature on the molecular modeling, simulations, and predictions of SARS-CoV-2 and related developments of drugs, vaccines, antibodies, and diagnostics. To provide readers with a quick update about this literature, we present a comprehensive and systematic methodology-centered review. Aspects such as molecular biophysics, bioinformatics, cheminformatics, machine learning, and mathematics are discussed. This review will be beneficial to researchers who are looking for ways to contribute to SARS-CoV-2 studies and those who are interested in the status of the field.
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Affiliation(s)
- Kaifu Gao
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Rui Wang
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Jiahui Chen
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Limei Cheng
- Clinical
Pharmacology and Pharmacometrics, Bristol
Myers Squibb, Princeton, New Jersey 08536, United States
| | - Jaclyn Frishcosy
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuta Huzumi
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuchi Qiu
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Tom Schluckbier
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Xiaoqi Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Guo-Wei Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
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Kumar S, Kovalenko S, Bhardwaj S, Sethi A, Gorobets NY, Desenko SM, Poonam, Rathi B. Drug repurposing against SARS-CoV-2 using computational approaches. Drug Discov Today 2022; 27:2015-2027. [PMID: 35151891 PMCID: PMC8830191 DOI: 10.1016/j.drudis.2022.02.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 01/05/2022] [Accepted: 02/04/2022] [Indexed: 12/11/2022]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has generated a critical need for treatments to reduce morbidity and mortality associated with this disease. However, traditional drug development takes many years, which is not practical solution given the current pandemic. Therefore, a viable option is to repurpose existing drugs. The structural data of several proteins vital for the virus became available shortly after the start of the pandemic. In this review, we discuss the importance of these targets and their available potential inhibitors predicted by the computational approaches. Among the hits identified by computational approaches, 35 candidates were suggested for further evaluation, among which ten drugs are in clinical trials (Phase III and IV) for treating Coronavirus 2019 (COVID-19).
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Affiliation(s)
- Sumit Kumar
- Department of Chemistry, Miranda House, University of Delhi, Delhi 110007, India
| | - Svitlana Kovalenko
- Department of Organic and Bioorganic Chemistry, State Scientific Institution 'Institute for Single Crystals', National Academy of Sciences of Ukraine, Nauky Ave. 60, Kharkiv 61001, Ukraine
| | - Shakshi Bhardwaj
- Laboratory for Translational Chemistry and Drug Discovery, Department of Chemistry, Hansraj College, University of Delhi, India
| | - Aaftaab Sethi
- Laboratory for Translational Chemistry and Drug Discovery, Department of Chemistry, Hansraj College, University of Delhi, India
| | - Nikolay Yu Gorobets
- Department of Organic and Bioorganic Chemistry, State Scientific Institution 'Institute for Single Crystals', National Academy of Sciences of Ukraine, Nauky Ave. 60, Kharkiv 61001, Ukraine.
| | - Sergey M Desenko
- Department of Organic and Bioorganic Chemistry, State Scientific Institution 'Institute for Single Crystals', National Academy of Sciences of Ukraine, Nauky Ave. 60, Kharkiv 61001, Ukraine
| | - Poonam
- Department of Chemistry, Miranda House, University of Delhi, Delhi 110007, India.
| | - Brijesh Rathi
- Laboratory for Translational Chemistry and Drug Discovery, Department of Chemistry, Hansraj College, University of Delhi, India.
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Zhang K, Wang K, Zhang C, Teng X, Li D, Chen M. Exploring the potential mechanism of emetine against coronavirus disease 2019 combined with lung adenocarcinoma: bioinformatics and molecular simulation analyses. BMC Cancer 2022; 22:687. [PMID: 35733175 PMCID: PMC9214478 DOI: 10.1186/s12885-022-09763-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 06/08/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Patients with lung adenocarcinoma (LUAD) may be more predisposed to coronavirus disease 2019 (COVID-19) and have a poorer prognosis. Currently, there is still a lack of effective anti-LUAD/COVID-19 drugs. Thus, this study aimed to screen for an effective anti-LUAD/COVID-19 drug and explore the potential mechanisms. METHODS Firstly, we performed differentially expressed gene (DEG) analysis on LUAD transcriptome profiling data in The Cancer Genome Atlas (TCGA), where intersections with COVID-19-related genes were screened out. Then, we conducted Cox proportional hazards analyses on these LUAD/COVID-19 DEGs to construct a risk score. Next, LUAD/COVID-19 DEGs were uploaded on Connectivity Map to obtain drugs for anti-LUAD/COVID-19. Finally, we used network pharmacology, molecular docking, and molecular dynamics (MD) simulation to explore the drug's therapeutic targets and potential mechanisms for anti-LUAD/COVID-19. RESULTS We identified 230 LUAD/COVID-19 DEGs and constructed a risk score containing 7 genes (BTK, CCL20, FURIN, LDHA, TRPA1, ZIC5, and SDK1) that could classify LUAD patients into two risk groups. Then, we screened emetine as an effective drug for anti-LUAD/COVID-19. Network pharmacology analyses identified 6 potential targets (IL6, DPP4, MIF, PRF1, SERPING1, and SLC6A4) for emetine in anti-LUAD/COVID-19. Molecular docking and MD simulation analyses showed that emetine exhibited excellent binding capacities to DDP4 and the main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). CONCLUSIONS This study found that emetine may inhibit the entry and replication of SARS-CoV-2 and enhance tumor immunity by bounding to DDP4 and Mpro.
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Affiliation(s)
- Kun Zhang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, Shaanxi Province, China
| | - Ke Wang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, Shaanxi Province, China
| | - Chaoguo Zhang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, Shaanxi Province, China
| | - Xiuli Teng
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, Shaanxi Province, China
| | - Dan Li
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, Shaanxi Province, China
| | - Mingwei Chen
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, Shaanxi Province, China.
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Molecular Docking as a Potential Approach in Repurposing Drugs Against COVID-19: a Systematic Review and Novel Pharmacophore Models. CURRENT PHARMACOLOGY REPORTS 2022; 8:212-226. [PMID: 35381996 PMCID: PMC8970976 DOI: 10.1007/s40495-022-00285-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 12/12/2022]
Abstract
Purpose of Review This article provides a review of the recent literature related to the FDA-approved drugs that had been repurposed as potential drug candidates against COVID-19. Moreover, we performed a quality pharmacophore study for frequently studied targets, namely, the main protease, RNA-dependent RNA polymerase, and spike protein. Recent Findings Ever since the COVID-19 pandemic, the whole spectrum of scientific community is still unable to invent an absolute therapeutic agent for COVID-19. Considering such a fact, drug repurposing strategies seem a truly viable approach to develop novel therapeutic interventions. Summery Drug repurposing explores previously approved drugs of known safety and pharmacokinetics profile for possible new effects, reducing the cost, time, and predicting prospective side effects and drug interactions. COVID-19 virulent machinery appeared similar to other viruses, making antiviral agents widely repurposed in pursuit for curative candidates. Our main protease pharmacophoric study revealed multiple features and could be a probable starting point for upcoming research.
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Ahmad S, Bhanu P, Kumar J, Pathak RK, Mallick D, Uttarkar A, Niranjan V, Mishra V. Molecular dynamics simulation and docking analysis of NF-κB protein binding with sulindac acid. Bioinformation 2022; 18:170-179. [PMID: 36518123 PMCID: PMC9722428 DOI: 10.6026/97320630018170] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/24/2022] [Accepted: 03/31/2022] [Indexed: 08/22/2023] Open
Abstract
It is of interest to document the Molecular Dynamics Simulation and docking analysis of NF-κB target with sulindac sodium in combating COVID-19 for further consideration. Sulindac is a nonsteroidal anti-inflammatory drug (NSAID) of the arylalkanoic acid class that is marketed by Merck under the brand name Clinoril. We show the binding features of sulindac sodium with NF-κB that can be useful in drug repurposing in COVID-19 therapy.
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Affiliation(s)
- Shaban Ahmad
- International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi 110067, India
- Department of Computer Science, Jamia Milia Islamia, New Delhi 110025, India
| | - Piyush Bhanu
- Xome Life Sciences, Bangalore Bioinnovation Centre, Helix Biotech Park, Bengaluru 560100, Karnataka, India
| | - Jitendra Kumar
- Bangalore Bioinnovation Centre (BBC), Helix Biotech Park, Electronics City Phase 1, Bengaluru 560100, Karnataka, India
| | - Ravi Kant Pathak
- School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar-Delhi Grand Trunk Rd, Phagwara 144001, Punjab, India
| | - Dharmendra Mallick
- Department of Botany, Deshbandhu College, University of Delhi, Delhi 110019, India
| | - Akshay Uttarkar
- Department of Biotechnology, RV College of Engineering, RV Vidyanikethan Post, Mysuru Road, Bengaluru 560059, India
| | - Vidya Niranjan
- Department of Biotechnology, RV College of Engineering, RV Vidyanikethan Post, Mysuru Road, Bengaluru 560059, India
| | - Vachaspati Mishra
- Department of Botany, Hindu College, University of Delhi, Delhi 110007, India
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Maurya SK, Mishra R. Molecular docking studies of natural immunomodulators indicate their interactions with the CD40L of CD40/CD40L pathway and CSF1R kinase domain of microglia. J Mol Model 2022; 28:101. [PMID: 35325302 DOI: 10.1007/s00894-022-05084-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/08/2022] [Indexed: 10/18/2022]
Abstract
Natural products have proved beneficial in reducing neuroinflammation in neurological diseases. Their impacts have also been associated with the activities of microglia, responsible for brain-specific immunity. Recent studies have shown the involvement of the number of microglia-specific proteins in the regulation of brain-specific immunity. However, molecular targets of natural products and their mechanism of interaction with microglia-specific proteins are elusive. Since the genetic signature of microglia offers many potential targets for drug discovery, molecular docking followed by molecular dynamics (MD) simulations of cluster of differentiation 40 ligand (CD40L) and colony-stimulating factor 1 receptor (CSF1R) kinase domain protein with some known neuro-immunomodulators (Curcumin, Cannabidiol, Ginsenoside Rg1, Resveratrol, and Sulforaphane) has been evaluated. Curcumin and cannabidiol were observed likely to modulate CD40L and expression of cytokines and entry of inflammatory cells. Resveratrol and cannabidiol may affect the CSF1R kinase domain and activation of microglia. Our finding suggests that curcumin, cannabidiol, and resveratrol may serve specific drug ligands in regulating microglia-mediated brain immunity.
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Affiliation(s)
- Shashank Kumar Maurya
- Department of Zoology, Ramjas College, University of Delhi, 110007, Delhi, India.,Department of Zoology, School of Sciences, Cluster University of Jammu, 180001, Jammu, India.,Biochemistry and Molecular Biology Laboratory, Department of Zoology, Banaras Hindu University, 221005, Varanasi, India
| | - Rajnikant Mishra
- Biochemistry and Molecular Biology Laboratory, Department of Zoology, Banaras Hindu University, 221005, Varanasi, India.
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Mishra B, Ballaney P, Saha G, Shinde A, Banerjee S, Thimmakondu VS, Aduri R. An in silico discovery of potential 3CL protease inhibitors of SARS-CoV-2 based upon inactivation of the cysteine 145-Histidine 41 catalytic dyad. J Biomol Struct Dyn 2022; 41:3167-3186. [PMID: 35261325 DOI: 10.1080/07391102.2022.2047108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Coronavirus disease 19 (COVID19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Currently, several countries are at risk of the pandemic caused by this virus. In the absence of any vaccine or virus-specific antiviral treatments, the need is to fast track search for potential drug candidates to combat the virus. Though there are known drugs that are being repurposed to fight against the SARS-CoV-2, there is a requirement for the virus-specific drugs at the earliest. One of the main drug targets of SARS-CoV-2 is an essential non-structural protein, 3CL protease, critical for the life cycle of the virus. We have used molecular docking studies to screen a chemically diverse set of small molecules to identify potential drug candidates to target this protein. Of the 22,630 molecules from varied small molecule libraries, based on the binding affinities and physicochemical properties, we finalized 30 molecules to be potential drug candidates. Eight of these molecules bind in a manner allowing for the scope of a nearly orthogonal backside nucleophilic attack on their suitably placed electrophilic carbonyl groups by the thiol group of cysteine residue 145, while remaining inside a 4 Ǻ distance range. It is interesting since carbonyl groups are known to be attacked in a similar fashion by external nucleophiles and can be relevant when considering these molecules as potential mechanism-based irreversible inhibitors of the 3CLPro. Further, ADMET analysis and Molecular dynamics simulations and available bioactive assays led to the identification of three molecules with high potential to be explored as drug candidates/lead molecules to target 3CLPro of SARS-CoV-2.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Bibhudutta Mishra
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani K K Birla Goa campus, Zuarinagar, South Goa, Goa, India
| | - Pranav Ballaney
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani K K Birla Goa campus, Zuarinagar, South Goa, Goa, India
| | - Gourav Saha
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani K K Birla Goa campus, Zuarinagar, South Goa, Goa, India
| | - Akshay Shinde
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani K K Birla Goa campus, Zuarinagar, South Goa, Goa, India
| | - Subhadeep Banerjee
- Department of Chemistry, Birla Institute of Technology and Science, Pilani K K Birla Goa campus, Zuarinagar, South Goa, Goa, India
| | | | - Raviprasad Aduri
- Department of Biological Sciences, Birla Institute of Technology and Science, Pilani K K Birla Goa campus, Zuarinagar, South Goa, Goa, India
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Matos ADR, Caetano BC, de Almeida Filho JL, Martins JSCDC, de Oliveira MGP, Sousa TDC, Horta MAP, Siqueira MM, Fernandez JH. Identification of Hypericin as a Candidate Repurposed Therapeutic Agent for COVID-19 and Its Potential Anti-SARS-CoV-2 Activity. Front Microbiol 2022; 13:828984. [PMID: 35222340 PMCID: PMC8866965 DOI: 10.3389/fmicb.2022.828984] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 01/13/2022] [Indexed: 12/12/2022] Open
Abstract
The COVID-19 pandemic has had an unprecedented impact on the global economy and public health. Its etiologic agent, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly transmissible, pathogenic and has a rapid global spread. Currently, the increase in the number of new confirmed cases has been slowed down due to the increase of vaccination in some regions of the world. Still, the rise of new variants has influenced the detection of additional waves of rising cases that some countries have experienced. Since the virus replication cycle is composed of many distinct stages, some viral proteins related to them, as the main-protease (Mpro) and RNA dependent RNA polymerase (RdRp), constitute individual potential antiviral targets. In this study, we challenged the mentioned enzymes against compounds pre-approved by health regulatory agencies in a virtual screening and later in Molecular Mechanics/Poisson–Bolzmann Surface Area (MM/PBSA) analysis. Our results showed that, among the identified potential drugs with anti-SARS-CoV-2 properties, Hypericin, an important component of the Hypericum perforatum that presents antiviral and antitumoral properties, binds with high affinity to viral Mpro and RdRp. Furthermore, we evaluated the activity of Hypericin anti-SARS-CoV-2 replication in an in vitro model of Vero-E6 infected cells. Therefore, we show that Hypericin inhibited viral replication in a dose dependent manner. Moreover, the cytotoxicity of the compound, in cultured cells, was evaluated, but no significant activity was found. Thus, the results observed in this study indicate that Hypericin is an excellent candidate for repurposing for the treatment of COVID-19, with possible inhibition of two important phases of virus maturation.
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Affiliation(s)
- Aline da Rocha Matos
- Laboratório de Virus Respiratórios e do Sarampo, Insituto Oswaldo Cruz, Fundação Oswaldo Cruz (LVRS-IOC-Fiocruz), Rio de Janeiro, Brazil
| | - Braulia Costa Caetano
- Laboratório de Virus Respiratórios e do Sarampo, Insituto Oswaldo Cruz, Fundação Oswaldo Cruz (LVRS-IOC-Fiocruz), Rio de Janeiro, Brazil
| | - João Luiz de Almeida Filho
- Laboratório de Química e Função de Proteínas e Peptídeos, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense (LQFPP-CBB-UENF), Campos dos Goytacazes, Brazil
| | | | | | - Thiago das Chagas Sousa
- Laboratório de Virus Respiratórios e do Sarampo, Insituto Oswaldo Cruz, Fundação Oswaldo Cruz (LVRS-IOC-Fiocruz), Rio de Janeiro, Brazil
| | - Marco Aurélio Pereira Horta
- Plataforma de Laboratórios de Biossegurança Nível 3, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (NB3-IOC-Fiocruz), Rio de Janeiro, Brazil
| | - Marilda Mendonça Siqueira
- Laboratório de Virus Respiratórios e do Sarampo, Insituto Oswaldo Cruz, Fundação Oswaldo Cruz (LVRS-IOC-Fiocruz), Rio de Janeiro, Brazil
| | - Jorge Hernandez Fernandez
- Laboratório de Química e Função de Proteínas e Peptídeos, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense (LQFPP-CBB-UENF), Campos dos Goytacazes, Brazil
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50
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Lokhande KB, Pawar SV, Madkaiker S, Nawani N, Venkateswara SK, Ghosh P. High throughput virtual screening and molecular dynamics simulation analysis of phytomolecules against BfmR of Acinetobacter baumannii: anti-virulent drug development campaign. J Biomol Struct Dyn 2022; 41:2698-2712. [PMID: 35156902 DOI: 10.1080/07391102.2022.2038271] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Acinetobacter baumannii is a notorious multidrug resistant bacterium responsible for several hospital acquired infections assisted by its capacity to develop biofilms. A. baumannii BfmR (RstA), a response regulator from the BfmR/S two-component signal transduction system, is the major controller of A. baumannii biofilm development and formation. As a result, BfmR represents a novel target for anti-biofilm treatment against A. baumannii. The discovery of the high-resolution crystal structure of BfmR provides a good chance for computational screening of its probable inhibitors. Therefore, in this study we aim to search new, less toxic, and natural BfmR inhibitors from 8450 phytomolecules available in the Indian Medicinal Plants, Phytochemistry and Therapeutic (IMPPAT) database by analyzing molecular docking against BfmR (PDB ID: 6BR7). Out of these 8450 phytomolecules 6742 molecules were successfully docked with BfmR with the docking score range -6.305 kcal/mol to +5.120 kcal/mol. Structure based-molecular docking (SB-MD) and ADMET (absorption, distribution, metabolism, excretion, & toxicity) profile examination revealed that Norepinephrine, Australine, Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline phytocompounds strongly binds to the active site residues of BfmR. Furthermore, molecular dynamics simulation (MDS) studies for 100 ns and the binding free energy (MM/GBSA) analysis elucidated the binding mechanism of Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline to BfmR. In summary, these phytocompounds seems to have the promising molecules against BfmR, and thus necessitates further verification by both in vitro and in vivo experiments. HighlightsBfmR plays a key role in biofilm development and exopolysaccharide (EPS) synthesis in A. baumannii.Computational approach to search for promising BfmR inhibitors from IMPAAT database.The lead phytomolecules such as Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline displayed significant binding with BfmR active site.The outcome of BfmR binding phytomolecules has broadened the scope of hit molecules validation.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Kiran Bharat Lokhande
- Dr. D. Y. Patil Vidyapeeth, Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India
| | - Sarika Vishnu Pawar
- Dr. D. Y. Patil Vidyapeeth, Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India
| | - Smriti Madkaiker
- Dr. D. Y. Patil Vidyapeeth, Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India
| | - Neelu Nawani
- Dr. D. Y. Patil Vidyapeeth, Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India
| | - Swamy K Venkateswara
- Bioinformatics Research Group, MIT School of Bioengineering Sciences & Research, MIT-ADT University, Pune, Maharashtra, India
| | - Payel Ghosh
- Bioinformatics Centre, Savitribai Phule Pune University, Pune, Maharashtra, India
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