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Ali MA, Sheikh H, Yaseen M, Faruqe MO, Ullah I, Kumar N, Bhat MA, Mollah MNH. Exploring the Therapeutic Potential of Petiveria alliacea L. Phytochemicals: A Computational Study on Inhibiting SARS-CoV-2's Main Protease (Mpro). Molecules 2024; 29:2524. [PMID: 38893400 PMCID: PMC11173994 DOI: 10.3390/molecules29112524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 04/29/2024] [Accepted: 04/30/2024] [Indexed: 06/21/2024] Open
Abstract
The outbreak of SARS-CoV-2, also known as the COVID-19 pandemic, is still a critical risk factor for both human life and the global economy. Although, several promising therapies have been introduced in the literature to inhibit SARS-CoV-2, most of them are synthetic drugs that may have some adverse effects on the human body. Therefore, the main objective of this study was to carry out an in-silico investigation into the medicinal properties of Petiveria alliacea L. (P. alliacea L.)-mediated phytocompounds for the treatment of SARS-CoV-2 infections since phytochemicals have fewer adverse effects compared to synthetic drugs. To explore potential phytocompounds from P. alliacea L. as candidate drug molecules, we selected the infection-causing main protease (Mpro) of SARS-CoV-2 as the receptor protein. The molecular docking analysis of these receptor proteins with the different phytocompounds of P. alliacea L. was performed using AutoDock Vina. Then, we selected the three top-ranked phytocompounds (myricitrin, engeletin, and astilbin) as the candidate drug molecules based on their highest binding affinity scores of -8.9, -8.7 and -8.3 (Kcal/mol), respectively. Then, a 100 ns molecular dynamics (MD) simulation study was performed for their complexes with Mpro using YASARA software, computed RMSD, RMSF, PCA, DCCM, MM/PBSA, and free energy landscape (FEL), and found their almost stable binding performance. In addition, biological activity, ADME/T, DFT, and drug-likeness analyses exhibited the suitable pharmacokinetics properties of the selected phytocompounds. Therefore, the results of this study might be a useful resource for formulating a safe treatment plan for SARS-CoV-2 infections after experimental validation in wet-lab and clinical trials.
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Affiliation(s)
- Md. Ahad Ali
- Bioinformatics Laboratory, Department of Statistics, Faculty of Science, University of Rajshahi, Rajshahi 6205, Bangladesh;
- Department of Chemistry, Faculty of Science, University of Rajshahi, Rajshahi 6205, Bangladesh
| | - Humaira Sheikh
- Department of Chemistry, Faculty of Science, Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalganj 8100, Bangladesh;
| | - Muhammad Yaseen
- Institute of Chemical Sciences, University of Swat, Main Campus, Charbagh 19130, Pakistan;
| | - Md Omar Faruqe
- Department of Computer Science and Engineering, Faculty of Engineering, University of Rajshahi, Rajshahi 6205, Bangladesh;
| | - Ihsan Ullah
- Institute of Chemical Sciences, University of Swat, Main Campus, Charbagh 19130, Pakistan;
| | - Neeraj Kumar
- Department of Pharmaceutical Chemistry, Bhupal Nobles’ College of Pharmacy, Udaipur 313001, Rajasthan, India;
| | - Mashooq Ahmad Bhat
- Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia;
| | - Md. Nurul Haque Mollah
- Bioinformatics Laboratory, Department of Statistics, Faculty of Science, University of Rajshahi, Rajshahi 6205, Bangladesh;
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2
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Xu J, Abdulsalam Khaleel R, Zaidan HK, Faisal Mutee A, Fahmi Fawy K, Gehlot A, Abbas AH, Arias Gonzáles JL, Amin AH, Ruiz-Balvin MC, Imannezhad S, Bahrami A, Akhavan-Sigari R. Discovery of common molecular signatures and drug repurposing for COVID-19/Asthma comorbidity: ACE2 and multi-partite networks. Cell Cycle 2024:1-30. [PMID: 38640424 DOI: 10.1080/15384101.2024.2340859] [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: 06/27/2023] [Accepted: 04/04/2024] [Indexed: 04/21/2024] Open
Abstract
Angiotensin-converting enzyme 2 (ACE2) is identified as the functional receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the ongoing global coronavirus disease-2019 (COVID-19) pandemic. This study aimed to elucidate potential therapeutic avenues by scrutinizing approved drugs through the identification of the genetic signature associated with SARS-CoV-2 infection in individuals with asthma. This exploration was conducted through an integrated analysis, encompassing interaction networks between the ACE2 receptor and common host (co-host) factors implicated in COVID-19/asthma comorbidity. The comprehensive analysis involved the identification of common differentially expressed genes (cDEGs) and hub-cDEGs, functional annotations, interaction networks, gene set variation analysis (GSVA), gene set enrichment analysis (GSEA), and module construction. Interaction networks were used to identify overlapping disease modules and potential drug targets. Computational biology and molecular docking analyzes were utilized to discern functional drug modules. Subsequently, the impact of the identified drugs on the expression of hub-cDEGs was experimentally validated using a mouse model. A total of 153 cDEGs or co-host factors associated with ACE2 were identified in the COVID-19 and asthma comorbidity. Among these, seven significant cDEGs and proteins - namely, HRAS, IFNG, JUN, CDH1, TLR4, ICAM1, and SCD-were recognized as pivotal host factors linked to ACE2. Regulatory network analysis of hub-cDEGs revealed eight top-ranked transcription factors (TFs) proteins and nine microRNAs as key regulatory factors operating at the transcriptional and post-transcriptional levels, respectively. Molecular docking simulations led to the proposal of 10 top-ranked repurposable drug molecules (Rapamycin, Ivermectin, Everolimus, Quercetin, Estradiol, Entrectinib, Nilotinib, Conivaptan, Radotinib, and Venetoclax) as potential treatment options for COVID-19 in individuals with comorbid asthma. Validation analysis demonstrated that Rapamycin effectively inhibited ICAM1 expression in the HDM-stimulated mice group (p < 0.01). This study unveils the common pathogenesis and genetic signature underlying asthma and SARS-CoV-2 infection, delineated by the interaction networks of ACE2-related host factors. These findings provide valuable insights for the design and discovery of drugs aimed at more effective therapeutics within the context of lung disease comorbidities.
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Affiliation(s)
- Jiajun Xu
- College of Veterinary & Life Sciences, the University of Glasgow, Glasgow, UK
| | | | | | | | - Khaled Fahmi Fawy
- Department of Chemistry, Faculty of Science, King Khalid University, Abha, Saudi Arabia
| | - Anita Gehlot
- Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India
| | | | - José Luis Arias Gonzáles
- Department of Social Sciences, Faculty of Social Studies, University of British Columbia, Vancouver, Canada
| | - Ali H Amin
- Zoology Department, Faculty of Science, Mansoura University, Mansoura, Egypt
| | | | - Shima Imannezhad
- Department of Pediatrics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Abolfazl Bahrami
- Biomedical Center for Systems Biology Science Munich, Ludwig-Maximilians-University, Munich, Germany
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Reza Akhavan-Sigari
- Department of Neurosurgery, University Medical Center Tuebingen, Tuebingen, Germany
- Department of Health Care Management and Clinical Research, Collegium Humanum, Warsaw, Poland
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3
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de Oliveira DF. In silico identification of five binding sites on the SARS-CoV-2 spike protein and selection of seven ligands for such sites. J Biomol Struct Dyn 2023:1-19. [PMID: 37921757 DOI: 10.1080/07391102.2023.2278077] [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: 01/27/2023] [Accepted: 10/26/2023] [Indexed: 11/04/2023]
Abstract
To contribute to the development of products capable of complexing with the SARS-CoV-2 spike protein, and thus preventing the virus from entering the host cell, this work aimed at discovering binding sites in the whole protein structure, as well as selecting substances capable of binding efficiently to such sites. Initially, the three-dimensional structure of the protein, with all receptor binding domains in the closed state, underwent blind docking with 38 substances potentially capable of binding to this protein according to the literature. This allowed the identification of five binding sites. Then, those substances with more affinities for these sites underwent pharmacophoric search in the ZINC15 database. The 14,329 substances selected from ZINC15 were subjected to docking to the five selected sites of the spike protein. The ligands with more affinities for the protein sites, as well as the selected sites themselves, were used in the de novo design of new ligands that were also docked to the binding sites of the protein. The best ligands, regardless of their origins, were used to form complexes with the spike protein, which were subsequently used in molecular dynamics simulations and calculations of ligands affinities to the protein through the molecular mechanics/Poisson-Boltzmann surface area method (MMPBSA). Seven substances with good affinities to the spike protein (-12.9 to -20.6 kcal/mol), satisfactory druggability (Bioavailability score: 0.17 to 0.55), and low acute toxicity to mice (LD50: 751 to 1421 mg/kg) were selected as potentially useful for the future development of new products to manage COVID-19 infections.Communicated by Ramaswamy H. Sarma.
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Rafiq A, Jabeen T, Aslam S, Ahmad M, Ashfaq UA, Mohsin NUA, Zaki MEA, Al-Hussain SA. A Comprehensive Update of Various Attempts by Medicinal Chemists to Combat COVID-19 through Natural Products. Molecules 2023; 28:4860. [PMID: 37375415 DOI: 10.3390/molecules28124860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/05/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
The ongoing COVID-19 pandemic has resulted in a global panic because of its continual evolution and recurring spikes. This serious malignancy is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the outbreak, millions of people have been affected from December 2019 till now, which has led to a great surge in finding treatments. Despite trying to handle the pandemic with the repurposing of some drugs, such as chloroquine, hydroxychloroquine, remdesivir, lopinavir, ivermectin, etc., against COVID-19, the SARS-CoV-2 virus continues its out-of-control spread. There is a dire need to identify a new regimen of natural products to combat the deadly viral disease. This article deals with the literature reports to date of natural products showing inhibitory activity towards SARS-CoV-2 through different approaches, such as in vivo, in vitro, and in silico studies. Natural compounds targeting the proteins of SARS-CoV-2-the main protease (Mpro), papain-like protease (PLpro), spike proteins, RNA-dependent RNA polymerase (RdRp), endoribonuclease, exoribonuclease, helicase, nucleocapsid, methyltransferase, adeno diphosphate (ADP) phosphatase, other nonstructural proteins, and envelope proteins-were extracted mainly from plants, and some were isolated from bacteria, algae, fungi, and a few marine organisms.
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Affiliation(s)
- Ayesha Rafiq
- Department of Chemistry, Government College University, Faisalabad 38000, Pakistan
| | - Tooba Jabeen
- Department of Chemistry, Government College University, Faisalabad 38000, Pakistan
| | - Sana Aslam
- Department of Chemistry, Government College Women University, Faisalabad 38000, Pakistan
| | - Matloob Ahmad
- Department of Chemistry, Government College University, Faisalabad 38000, Pakistan
| | - Usman Ali Ashfaq
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan
| | - Noor Ul Amin Mohsin
- Department of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Government College University, Faisalabad 38000, Pakistan
| | - Magdi E A Zaki
- Department of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11623, Saudi Arabia
| | - Sami A Al-Hussain
- Department of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11623, Saudi Arabia
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Funari R, Bhalla N, Gentile L. Measuring the Radius of Gyration and Intrinsic Flexibility of Viral Proteins in Buffer Solution Using Small-Angle X-ray Scattering. ACS MEASUREMENT SCIENCE AU 2022; 2:547-552. [PMID: 36573077 PMCID: PMC9783065 DOI: 10.1021/acsmeasuresciau.2c00048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/31/2022] [Accepted: 08/31/2022] [Indexed: 06/17/2023]
Abstract
Measuring structural features of proteins dispersed in buffer solution, in contrast to crystal form, is indispensable in understanding morphological characteristics of the biomolecule in a native environment. We report on the structure and apparent viscosity of unfolded α and β variants of SARS-CoV-2 spike proteins dispersed in buffer solutions. The radius of gyration of the β variant is found to be larger than that of the α variant, while the ab initio computation of one of the possible particle-like bodies is consistent with the small-angle X-ray scattering (SAXS) profiles resembling a conformation similar to the three-dimensional structure of the folded state of the corresponding α and β spike variant. However, a smaller radius of gyration with respect to the predicted folded state of 2.4 and 2.7 is observed for both α and β variants, respectively. Our work complements the structural characterization of spike proteins using cryo-electron microscopy techniques. The measurement/analysis discussed here might be useful for quick and cost-effective evaluation of several protein structures, let alone mutated viral proteins, which is useful for drug discovery/development applications.
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Affiliation(s)
- Riccardo Funari
- Department
of Physics “M. Merlin”, University
of Bari Aldo Moro, Via Amendola, 173, Bari 70125, Italy
- Institute
for Photonics and Nanotechnologies, CNR, Via Amendola, 173, Bari, 70125, Italy
| | - Nikhil Bhalla
- Nanotechnology
and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, Jordanstown, Shore Road, Northern Ireland BT37 0QB, United Kingdom
- Healthcare
Technology Hub, Ulster University, Jordanstown Shore Road, Northern Ireland BT37 0QB, United Kingdom
| | - Luigi Gentile
- Department
of Chemistry, University of Bari Aldo Moro, Edoardo Orabona 4, Bari 70125, Italy
- Bari
unit,
Center for Colloid and Surface Science (CSGI), via della Lastruccia 3, Sesto Fiorentino 50019, Italy
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6
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Jaipal N, Ram H, Charan J, Dixit A, Singh G, Singh BP, Kumar A, Panwar A. HMG‐CoA reductase inhibition medicated hypocholesterolemic and antiatherosclerotic potential of phytoconstituents of an aqueous pod extract of
Prosopis cineraria
(L.) Druce: In silico, in vitro, and in vivo studies. EFOOD 2022. [DOI: 10.1002/efd2.42] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Noopur Jaipal
- Department of Zoology Jai Narain Vyas University Jodhpur Rajasthan India
| | - Heera Ram
- Department of Zoology Jai Narain Vyas University Jodhpur Rajasthan India
| | - Jaykaran Charan
- Department of Pharmacology All India Institute of Medical Sciences Jodhpur Rajasthan India
| | | | - Garima Singh
- Department of Botany Pachhunga University College Aizawl Mizoram India
| | - Bhim P. Singh
- Department of Agriculture & Environmental Sciences (AES) National Institute of Food Technology Entrepreneurship & Management (NIFTEM) Sonepat Haryana India
| | - Ashok Kumar
- Centre for Systems Biology and Bioinformatics Panjab University Chandigarh Punjab India
| | - Anil Panwar
- Centre for Systems Biology and Bioinformatics Panjab University Chandigarh Punjab India
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7
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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: 30] [Impact Index Per Article: 15.0] [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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8
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Dwivedi M, Mukhopadhyay S, Yadav S, Dubey KD. A multidrug efflux protein in Mycobacterium tuberculosis; tap as a potential drug target for drug repurposing. Comput Biol Med 2022; 146:105607. [PMID: 35617724 DOI: 10.1016/j.compbiomed.2022.105607] [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: 02/26/2022] [Revised: 05/02/2022] [Accepted: 05/09/2022] [Indexed: 11/27/2022]
Abstract
Tuberculosis (TB) is a serious communicative disease caused by Mycobacterium tuberculosis. Although there are vaccines and drugs available to treat the disease, they are not efficient, moreover, multidrug-resistant TB (MDR-TB) become a major hurdle in its therapy. These MDR strains utilize the multidrug efflux pump as a decisive weapon to fight against antitubercular drugs. Tap membrane protein was observed as a crucial multidrug efflux pump in M. tuberculosis and its critical implication in MDR-MTB development makes it an effective drug target. In the present study, we have utilized various in silico approaches to predict the applicability of FDA-approved ion channel inhibitors and blockers as therapeutic leads against Tuberculosis by targeting multidrug efflux protein; Tap in MTB. Tap protein structure is predicted by Phyre2 server followed by model refinement, validation, physio-chemical catheterization and target prediction. Further, the interaction between Tap protein and ligands were analysed by molecular docking and MD simulation run of 100 ns. Based on implication and compatibility, 18 FDA-approved ion channel inhibitors and blockers are selected as a ligand against the Tap protein and eventually observed five ligands; Glimepiride, Flecainide, Flupiritine, Nimodipine and Amlodipine as promising compounds which have exhibited the significant stable interaction with Tap protein and are proposed to modulate or interfere with its activity. These compounds illustrated the substantial docking score and total binding enthalpy more than -7 kcal/mol and -42 kcal/mol respectively which implies that the selected FDA-approved compounds can spontaneously interact with the Tap protein to modulate its function. This study proposed Tap protein as a prominent drug target in MTB and investigated compounds that show considerable interaction with the Tap protein as potential therapeutic molecules. These interactions may lead to modulating or inhibit the activity of drug efflux protein thereby making MTB susceptible to antitubercular drugs.
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Affiliation(s)
- Manish Dwivedi
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow, 226028, India.
| | - Sutanu Mukhopadhyay
- Department of Chemistry, Ramakrishna Mission Vivekananda Centenary College, West Bengal, India
| | - Shalini Yadav
- Department of Chemistry, Shiv Nadar University, Greater Noida, 201314, India
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Charan J, Riyad P, Ram H, Purohit A, Ambwani S, Kashyap P, Singh G, Hashem A, Abd_Allah EF, Gupta VK, Kumar A, Panwar A. Ameliorations in dyslipidemia and atherosclerotic plaque by the inhibition of HMG-CoA reductase and antioxidant potential of phytoconstituents of an aqueous seed extract of Acacia senegal (L.) Willd in rabbits. PLoS One 2022; 17:e0264646. [PMID: 35239727 PMCID: PMC8893677 DOI: 10.1371/journal.pone.0264646] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/14/2022] [Indexed: 11/19/2022] Open
Abstract
The assigned work was aimed to examine the capability of phytoconstituents of an aqueous seed extract of Acacia senegal (L.) Willd to inhibit HMG-CoA reductase and regression of the atherosclerotic plaque. The chemical fingerprinting of the test extract was assessed by LC-MS/MS. Consequently, the analyses of in-vitro, in-vivo, and in-silico were executed by using the standard protocols. The in-vitro assessment of the test extract revealed 74.1% inhibition of HMG-CoA reductase. In-vivo assessments of the test extract indicated that treated hypercholesterolemic rabbits exhibited a significant (P≤0.001) amelioration in the biomarker indices of the dyslipidaemia i.e., atherogenic index, Castelli risk index(I&II), atherogenic coefficient along with lipid profile. Subsequently, significant reductions were observed in the atherosclerotic plaque and antioxidant levels. The in-silico study of molecular docking shown interactions capabilities of the leading phytoconstituents of the test extract i.e., eicosanoic acid, linoleic acid, and flavan-3-ol with target protein of HMG-CoA reductase. The values of RSMF and potential energy of top docked complexes were show significant interactions. Accordingly, the free energy of solvation, interaction angle, radius of gyration and SASA were shown significant stabilities of top docked complex. The cumulative data of results indicate phytoconstituents of an aqueous seed extract of Acacia senegal have capabilities to inhibit the HMG-CoA reductase and improve the levels of antioxidants.
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Affiliation(s)
- Jaykaran Charan
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Priyanka Riyad
- Department of Zoology, Jai Narain Vyas University, Jodhpur, Rajasthan, India
| | - Heera Ram
- Department of Zoology, Jai Narain Vyas University, Jodhpur, Rajasthan, India
| | - Ashok Purohit
- Department of Zoology, Jai Narain Vyas University, Jodhpur, Rajasthan, India
| | - Sneha Ambwani
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Priya Kashyap
- University School of Biotechnology, GGS Indraprastha University, New Delhi, India
| | - Garima Singh
- Department of Botany, Pachhunga University College, Aizawl, Mizoram, India
| | - Abeer Hashem
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Elsayed Fathi Abd_Allah
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Vijai Kumar Gupta
- Center for Safe and Improved Food & Biorefining and Advanced Biomaterials Research Center, SRUC, Kings Buildings, Scotland, United Kingdom
| | - Ashok Kumar
- Centre for Systems biology and bioinformatics, Panjab University Chandigarh, Punjab, India
| | - Anil Panwar
- Centre for Systems biology and bioinformatics, Panjab University Chandigarh, Punjab, India
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10
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Devi SS, Kardam V, Dubey KD, Dwivedi M. Deciphering the immunogenic T-cell epitopes from spike protein of SARS-CoV-2 concerning the diverse population of India. J Biomol Struct Dyn 2022; 41:2713-2732. [PMID: 35132938 DOI: 10.1080/07391102.2022.2037462] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Scientists are rigorously looking for an efficient vaccine against the current pandemic due to the SARS-CoV-2 virus. The reverse vaccinology approach may provide us with significant therapeutic leads in this direction and further determination of T-cell/B-cell response to antigen. In the present study, we conducted a population coverage analysis referring to the diverse Indian population. From the Immune epitope database (IEDB), HLA- distribution analysis was performed to find the most promiscuous T-cell epitope out of In silico determined epitope of Spike protein from SARS-CoV-2. Epitopes were selected based on their binding affinity with the maximum number of HLA alleles belonging to the highest population coverage rate values for the chosen geographical area in India. 404 cleavage sites within the 1288 amino acids sequence of spike glycoprotein were determined by NetChop proteasomal cleavage prediction suggesting the presence of adequate sites in the protein sequence for cleaving into appropriate epitopes. For population coverage analysis, 179 selected epitopes present the projected population coverage up to 97.45% with 56.16 average hit and 15.07 pc90. 54 epitopes are found with the highest coverage among the Indian population and highly conserved within the given spike RBD domain sequence. Among all the predicted epitopes, 9-mer TRFASVYAW and RFDNPVLPF along with 12-mer LLAGTITSGWTF and VSQPFLMDLEGK epitopes are observed as the best due to their decent docking score and best binding affinity to corresponding HLA alleles during MD simulations. Outcomes from this study could be critical to design a vaccine against SARS-CoV-2 for a different set of populations within the country.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
| | - Vandana Kardam
- Department of Chemistry, Shiv Nadar University, Greater Noida, India
| | | | - Manish Dwivedi
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow, India
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