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Pojtanadithee P, Hengphasatporn K, Suroengrit A, Boonyasuppayakorn S, Wilasluck P, Deetanya P, Wangkanont K, Sukanadi IP, Chavasiri W, Wolschann P, Langer T, Shigeta Y, Maitarad P, Sanachai K, Rungrotmongkol T. Identification of Promising Sulfonamide Chalcones as Inhibitors of SARS-CoV-2 3CL pro through Structure-Based Virtual Screening and Experimental Approaches. J Chem Inf Model 2023; 63:5244-5258. [PMID: 37581276 DOI: 10.1021/acs.jcim.3c00663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
3CLpro is a viable target for developing antiviral therapies against the coronavirus. With the urgent need to find new possible inhibitors, a structure-based virtual screening approach was developed. This study recognized 75 pharmacologically bioactive compounds from our in-house library of 1052 natural product-based compounds that satisfied drug-likeness criteria and exhibited good bioavailability and membrane permeability. Among these compounds, three promising sulfonamide chalcones were identified by combined theoretical and experimental approaches, with SWC423 being the most suitable representative compound due to its competitive inhibition and low cytotoxicity in Vero E6 cells (EC50 = 0.89 ± 0.32 μM; CC50 = 25.54 ± 1.38 μM; SI = 28.70). The binding and stability of SWC423 in the 3CLpro active site were investigated through all-atom molecular dynamics simulation and fragment molecular orbital calculation, indicating its potential as a 3CLpro inhibitor for further SARS-CoV-2 therapeutic research. These findings suggested that inhibiting 3CLpro with a sulfonamide chalcone such as SWC423 may pave the effective way for developing COVID-19 treatments.
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Affiliation(s)
- Piyatida Pojtanadithee
- Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand
| | - Kowit Hengphasatporn
- Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
| | - Aphinya Suroengrit
- Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Siwaporn Boonyasuppayakorn
- Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Patcharin Wilasluck
- Center of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
- Center of Excellence for Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Peerapon Deetanya
- Center of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
- Center of Excellence for Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Kittikhun Wangkanont
- Center of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
- Center of Excellence for Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - I Putu Sukanadi
- Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Warinthorn Chavasiri
- Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Peter Wolschann
- Department of Pharmaceutical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
- Institute of Theoretical Chemistry, University of Vienna, Vienna 1090, Austria
| | - Thierry Langer
- Department of Pharmaceutical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
| | - Yasuteru Shigeta
- Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan
| | - Phornphimon Maitarad
- Research Center of Nano Science and Technology, Department of Chemistry, College of Science, Shanghai University, Shanghai 200444, P. R. China
| | - Kamonpan Sanachai
- Department of Biochemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Thanyada Rungrotmongkol
- Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand
- Center of Excellence in Structural and Computational Biology, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
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2
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Sharma S, Sharma A, Bhattacharyya D, Chauhan RS. Computational identification of potential inhibitory compounds in Indian medicinal and aromatic plant species against major pathogenicity determinants of SARS-CoV-2. J Biomol Struct Dyn 2022; 40:14096-14114. [PMID: 34766880 DOI: 10.1080/07391102.2021.2000500] [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: 12/29/2022]
Abstract
SARS-CoV-2 (COVID-19) viral pandemic has been reported across 223 countries and territories. Globalized vaccination programs alongside administration of repurposed drugs will assumingly confer a stronger and longer individual specific immune protection. However, considering possible recurrence of the disease via new variants, a conveniently deliverable phytopharmaceutical drug might be the best option for COVID-19 treatment. In the current study, the efforts have been made to identify potential leads for inhalation therapy as nasal swabs have been reported to transfer viral load prominently. In that direction, 2363 Essential oil (EOs) compounds from Indian medicinal and aromatic plants were screened through docking analysis and potential candidates were shortlisted that can interfere with viral pathogenicity. The main protease (Mpro) of SARS-CoV-2 interacted closely with jatamansin (JM), 6,7-dehydroferruginol (FG) and beta-sitosterol (BS), while Papain-like Protease (PLpro) with friedelane-3-one (F3O) and lantadene D (LD) independently. Reduced Lantadene A (LAR) exhibited preferable interaction with RNA-dependent-RNA-polymerase (RdRp) whereas Lantadene A (LA) with RdRp and spike-glycoprotein (SG-pro) both target proteins. When compared against highest binding affinity conformations of well-known inhibitors of targets, these prioritized compounds conferred superior or comparable SARS-CoV-2 protein inhibition. Additionally, promising results were noted from pharmacokinetics prediction for all shortlisted compounds. Besides, molecular dynamics simulation for 100 ns in two replicates and binding free energy analysis revealed the stability of complexes with optimum compactness. To the best of our knowledge, the current investigation is a unique initial attempt whereby EO compounds have been computationally screened, irrespective of their known medicinal properties to fight COVID-19 infection.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Shilpa Sharma
- Department of Biotechnology, School of Engineering & Applied Sciences, Bennett University, Uttar Pradesh, India
| | - Ashish Sharma
- Department of Biotechnology, School of Engineering & Applied Sciences, Bennett University, Uttar Pradesh, India
| | - Dipto Bhattacharyya
- Department of Biotechnology, School of Engineering & Applied Sciences, Bennett University, Uttar Pradesh, India
| | - Rajinder S Chauhan
- Department of Biotechnology, School of Engineering & Applied Sciences, Bennett University, Uttar Pradesh, India
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3
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Sepay N, Chakrabarti S, Afzal M, Alarifi A, Mal D. Identification of 4-acrylamido- N-(pyridazin-3-yl)benzamide as anti-COVID-19 compound: a DFTB, molecular docking, and molecular dynamics study. RSC Adv 2022; 12:24178-24186. [PMID: 36128538 PMCID: PMC9403657 DOI: 10.1039/d2ra04333e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/16/2022] [Indexed: 11/21/2022] Open
Abstract
Omicron is one of the variants of COVID-19 and continuing member of a pandemic. There are several types of vaccines that were developed around the globe to fight against the virus. However, the world is suffering to find suitable drug candidates for the virus. The main protease (Mpro) enzyme of the virus is the best target for finding drug molecules because of its involvement in viral infection and protein synthesis. ZINC-15 is a database of 750 million commercially available compounds. We find 125 compounds having two aromatic rings and amide groups for non-covalent interactions with active site amino acids and functional groups with the capability to bind -SH group of C145 of Mpro through covalent bonding by a nucleophilic addition reaction. The lead compound (Z144) was identified using molecular docking. The non-covalent interactions (NCI) calculations show the interactions between amino acids present in the active site of the protein and the lead molecules are attractive in nature. The density functional-based tight-binding (DFTB) study of the lead compound with amino acids in the active site indicates that Q190 and Q193 play a very critical role in stabilization. The Michael addition of the acrylamide group of the lead molecule at β-position is facile because the low energy lowest unoccupied molecular orbital (LUMO) is concentrated on the group. From molecular dynamics during 100 ns, it has come to light that strong non-covalent interactions are key for the stability of the lead inside the protein and such binding can fold the protein. The free energy for this interaction is -42.72 kcal mol-1 which was obtained from MM-GB/SA calculations.
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Affiliation(s)
- Nayim Sepay
- Department of Chemistry, Lady Brabourne College Kolkata 700017 India
| | | | - Mohd Afzal
- Department of Chemistry, College of Science, King Saud University Riyadh 11451 Saudi Arabia
| | - Abdullah Alarifi
- Department of Chemistry, College of Science, King Saud University Riyadh 11451 Saudi Arabia
| | - Dasarath Mal
- Department of Chemistry, Vijaygarh Jyotish Ray College Kolkata 700032 India
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Li Y, Yu W, Zhai J, Wang K, Huo H, Du Z. The efficacy of combined therapy of qingfeiPaidu capsule and lianhuaqingwen capsule nursing interventions for hospitalized patients with COVID-19: A retrospective study of medical records. Medicine (Baltimore) 2022; 101:e29964. [PMID: 35960047 PMCID: PMC9370244 DOI: 10.1097/md.0000000000029964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Coronavirus disease-19 (COVID-19) caused a global pandemic burden, affecting hundreds of thousands of individuals, having life-threatening outcomes. Traditional Chinese Medicine plays a crucial role in the treatment of patients with COVID-19. The purpose of this study was to investigate the efficacy of combined therapy of qingfeiPaidu (QFPD) capsule and lianhuaqingwen (LHQW) capsule nursing interventions in the treatment of patients with COVID-19. A total of 318 patients with COVID-19 were enrolled and randomly received QFPD (n = 106), LHQW (n = 106), and QFPD-LHQW (n = 106). The clinical characteristics of COVID-19, the total lung severity scores, and blood laboratory indices were recorded in each patient in each group before treatment and at the end of treatment. The outcomes demonstrated that QFPD-LHQW group shortened the length of hospitalization, decreased C-reactive protein, creatine kinase, creatine kinase-myocardial band, lactate dehydrogenase, and blood urea nitrogen levels, and improved clinical symptoms, pulmonary inflammation, and prognosis. At the end of treatment, inflammation, immune function, circulating white blood cells, total lymphocyte count, and glutamic-oxaloacetic transaminase levels improved dramatically in 3 groups compared with baseline. All patients met the discharge criteria after 30-day treatment in 3 groups. Combined therapy of QFPD and LHQW demonstrated significant anti-inflammatory effects compared with those of only QFPD or LHQW in patients with mild and moderate COVID-19. The combined therapies may alleviate clinical symptoms of COVID-19 patients by improving inflammation and immune function.
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Affiliation(s)
- Yan Li
- Central Sterile Supply Department, Mudanjiang Medical University, Affiliated Hongqi Hospital, Mudanjiang, P. R. China
| | - Wenhan Yu
- Central Sterile Supply Department, Mudanjiang Medical University, Affiliated Hongqi Hospital, Mudanjiang, P. R. China
| | - Jinxia Zhai
- Central Sterile Supply Department, Mudanjiang Medical University, Affiliated Hongqi Hospital, Mudanjiang, P. R. China
| | - Kun Wang
- Central Sterile Supply Department, Mudanjiang Medical University, Affiliated Hongqi Hospital, Mudanjiang, P. R. China
| | - Hongdan Huo
- Central Sterile Supply Department, Mudanjiang Medical University, Affiliated Hongqi Hospital, Mudanjiang, P. R. China
| | - Zonghua Du
- Central Sterile Supply Department, Mudanjiang Medical University, Affiliated Hongqi Hospital, Mudanjiang, P. R. China
- *Correspondence: Zonghua Du, Central Sterile Supply Department, Mudanjiang Medical University, Affiliated Hongqi Hospital, No 5, Tongxiang Road, Aimin District, Mudanjiang, P. R. China (e-mail: )
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5
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Li S, Wang L, Meng J, Zhao Q, Zhang L, Liu H. De Novo design of potential inhibitors against SARS-CoV-2 Mpro. Comput Biol Med 2022; 147:105728. [PMID: 35763931 PMCID: PMC9197785 DOI: 10.1016/j.compbiomed.2022.105728] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 05/31/2022] [Accepted: 06/11/2022] [Indexed: 11/16/2022]
Abstract
The impact of the ravages of COVID-19 on people's lives is obvious, and the development of novel potential inhibitors against SARS-CoV-2 main protease (Mpro), which has been validated as a potential target for drug design, is urgently needed. This study developed a model named MproI-GEN, which can be used for the de novo design of potential Mpro inhibitors (MproIs) based on deep learning. The model was mainly composed of long-short term memory modules, and the last layer was re-trained with transfer learning. The validity (0.9248), novelty (0.9668), and uniqueness (0.0652) of the designed potential MproI library (PMproIL) were evaluated, and the results showed that MproI-GEN could be used to design structurally novel and reasonable molecules. Additionally, PMproIL was filtered based on machine learning models and molecular docking. After filtering, the potential MproIs were verified with molecular dynamics simulations to evaluate the binding stability levels of these MproIs and SARS-CoV-2 Mpro, thereby illustrating the inhibitory effects of the potential MproIs against Mpro. Two potential MproIs were proposed in this study. This study provides not only new possibilities for the development of COVID-19 drugs but also a complete pipeline for the discovery of novel lead compounds.
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Affiliation(s)
- Shimeng Li
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Lianxin Wang
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Jinhui Meng
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Qi Zhao
- School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, 114051, China.
| | - Li Zhang
- School of Life Science, Liaoning University, Shenyang, 110036, China; Shenyang Key Laboratory of Computer Simulating and Information Processing of Bio-macromolecules, Shenyang, 110036, China.
| | - Hongsheng Liu
- Shenyang Key Laboratory of Computer Simulating and Information Processing of Bio-macromolecules, Shenyang, 110036, China; Research Center for Computer Simulating and Information Processing of Bio-macromolecules of Liaoning Province, Shenyang, 110036, China; Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, Shenyang, 110036, China; School of Pharmaceutical Sciences, Liaoning University, Shenyang, 110036, China.
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6
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Marforio TD, Mattioli EJ, Zerbetto F, Calvaresi M. Fullerenes against COVID-19: Repurposing C 60 and C 70 to Clog the Active Site of SARS-CoV-2 Protease. Molecules 2022; 27:molecules27061916. [PMID: 35335283 PMCID: PMC8955646 DOI: 10.3390/molecules27061916] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/11/2022] [Accepted: 03/13/2022] [Indexed: 11/28/2022] Open
Abstract
The persistency of COVID-19 in the world and the continuous rise of its variants demand new treatments to complement vaccines. Computational chemistry can assist in the identification of moieties able to lead to new drugs to fight the disease. Fullerenes and carbon nanomaterials can interact with proteins and are considered promising antiviral agents. Here, we propose the possibility to repurpose fullerenes to clog the active site of the SARS-CoV-2 protease, Mpro. Through the use of docking, molecular dynamics, and energy decomposition techniques, it is shown that C60 has a substantial binding energy to the main protease of the SARS-CoV-2 virus, Mpro, higher than masitinib, a known inhibitor of the protein. Furthermore, we suggest the use of C70 as an innovative scaffold for the inhibition of SARS-CoV-2 Mpro. At odds with masitinib, both C60 and C70 interact more strongly with SARS-CoV-2 Mpro when different protonation states of the catalytic dyad are considered. The binding of fullerenes to Mpro is due to shape complementarity, i.e., vdW interactions, and is aspecific. As such, it is not sensitive to mutations that can eliminate or invert the charges of the amino acids composing the binding pocket. Fullerenic cages should therefore be more effective against the SARS-CoV-2 virus than the available inhibitors such as masinitib, where the electrostatic term plays a crucial role in the binding.
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Acute Cerebellar Inflammation and Related Ataxia: Mechanisms and Pathophysiology. Brain Sci 2022; 12:brainsci12030367. [PMID: 35326323 PMCID: PMC8946185 DOI: 10.3390/brainsci12030367] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/07/2022] [Accepted: 03/08/2022] [Indexed: 12/11/2022] Open
Abstract
The cerebellum governs motor coordination and motor learning. Infection with external microorganisms, such as viruses, bacteria, and fungi, induces the release and production of inflammatory mediators, which drive acute cerebellar inflammation. The clinical observation of acute cerebellitis is associated with the emergence of cerebellar ataxia. In our animal model of the acute inflammation of the cerebellar cortex, animals did not show any ataxia but hyperexcitability in the cerebellar cortex and depression-like behaviors. In contrast, animal models with neurodegeneration of the cerebellar Purkinje cells and hypoexcitability of the neurons show cerebellar ataxia. The suppression of the Ca2+-activated K+ channels in vivo is associated with a type of ataxia. Therefore, there is a gap in our interpretation between the very early phase of cerebellar inflammation and the emergence of cerebellar ataxia. In this review, we discuss the hypothesized scenario concerning the emergence of cerebellar ataxia. First, compared with genetically induced cerebellar ataxias, we introduce infection and inflammation in the cerebellum via aberrant immunity and glial responses. Especially, we focus on infections with cytomegalovirus, influenza virus, dengue virus, and SARS-CoV-2, potential relevance to mitochondrial DNA, and autoimmunity in infection. Second, we review neurophysiological modulation (intrinsic excitability, excitatory, and inhibitory synaptic transmission) by inflammatory mediators and aberrant immunity. Next, we discuss the cerebellar circuit dysfunction (presumably, via maintaining the homeostatic property). Lastly, we propose the mechanism of the cerebellar ataxia and possible treatments for the ataxia in the cerebellar inflammation.
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Kumar S, Kovalenko S, Bhardwaj S, Sethi A, Yu. Gorobets N, 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] [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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Zhao W, Li X, Yu Z, Wu S, Ding L, Liu J. Identification of lactoferrin-derived peptides as potential inhibitors against the main protease of SARS-CoV-2. Lebensm Wiss Technol 2022; 154:112684. [PMID: 34720187 PMCID: PMC8537974 DOI: 10.1016/j.lwt.2021.112684] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/07/2021] [Accepted: 10/21/2021] [Indexed: 12/30/2022]
Abstract
COVID-19 is a global health emergency that causes serious concerns. A global effort is underway to identify drugs for the treatment of COVID-19. One possible solution to the present problem is to develop drugs that can inhibit SARS-CoV-2 main protease (Mpro), a coronavirus protein that been considered as one among many drug targets. In this work, lactoferrin from Bos taurus L. was in silico hydrolyzed. The bioactivity, water solubility, and ADMET properties of the generated peptides were predicted using various online tools. The molecular interactions between Mpro and the peptides were studied using molecular docking and molecular dynamic simulation. The results demonstrated that peptide GSRY was predicted to have better physicochemical properties, and the value of '-C DOCKER interaction energy' between peptide GSRY and Mpro was 80.8505 kcal/mol. The interaction between the peptide GSRY and the native ligand N3 co-crystallized with Mpro had overlapped amino acids, i.e., HIS163, GlY143, GLU166, GLN189 and MET165. Molecular dynamic simulation revealed that Mpro/GSRY complexes were stable. Collectively, the peptide GSRY may be a potential candidate drug against Mpro of SARS-CoV-2.
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Affiliation(s)
- Wenzhu Zhao
- College of Food Science and Engineering, Bohai University, Jinzhou, 121013, PR China
| | - Xin Li
- College of Food Science and Engineering, Bohai University, Jinzhou, 121013, PR China
- National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, Bohai University, Jinzhou, 121013, PR China
| | - Zhipeng Yu
- College of Food Science and Engineering, Bohai University, Jinzhou, 121013, PR China
- National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, Bohai University, Jinzhou, 121013, PR China
| | - Sijia Wu
- Lab of Nutrition and Functional Food, Jilin University, Changchun, 130062, PR China
| | - Long Ding
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, PR China
| | - Jingbo Liu
- Lab of Nutrition and Functional Food, Jilin University, Changchun, 130062, PR China
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Ovek D, Abali Z, Zeylan ME, Keskin O, Gursoy A, Tuncbag N. Artificial intelligence based methods for hot spot prediction. Curr Opin Struct Biol 2021; 72:209-218. [PMID: 34954608 DOI: 10.1016/j.sbi.2021.11.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/07/2021] [Accepted: 11/08/2021] [Indexed: 11/29/2022]
Abstract
Proteins interact through their interfaces to fulfill essential functions in the cell. They bind to their partners in a highly specific manner and form complexes that have a profound effect on understanding the biological pathways they are involved in. Any abnormal interactions may cause diseases. Therefore, the identification of small molecules which modulate protein interactions through their interfaces has high therapeutic potential. However, discovering such molecules is challenging. Most protein-protein binding affinity is attributed to a small set of amino acids found in protein interfaces known as hot spots. Recent studies demonstrate that drug-like small molecules specifically may bind to hot spots. Therefore, hot spot prediction is crucial. As experimental data accumulates, artificial intelligence begins to be used for computational hot spot prediction. First, we review machine learning and deep learning for computational hot spot prediction and then explain the significance of hot spots toward drug design.
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Affiliation(s)
- Damla Ovek
- College of Engineering, Koc University, 34450 Istanbul, Turkey
| | - Zeynep Abali
- College of Engineering, Koc University, 34450 Istanbul, Turkey
| | | | - Ozlem Keskin
- College of Engineering, Koc University, 34450 Istanbul, Turkey.
| | - Attila Gursoy
- College of Engineering, Koc University, 34450 Istanbul, Turkey.
| | - Nurcan Tuncbag
- College of Engineering, Koc University, 34450 Istanbul, Turkey; School of Medicine, Koc University, 34450 Istanbul, Turkey.
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Shahabadi N, Zendehcheshm S, Mahdavi M, Khademi F. Inhibitory activity of FDA-approved drugs cetilistat, abiraterone, diiodohydroxyquinoline, bexarotene, remdesivir, and hydroxychloroquine on COVID-19 main protease and human ACE2 receptor: A comparative in silico approach. INFORMATICS IN MEDICINE UNLOCKED 2021; 26:100745. [PMID: 34568544 PMCID: PMC8455240 DOI: 10.1016/j.imu.2021.100745] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/20/2021] [Accepted: 09/20/2021] [Indexed: 12/23/2022] Open
Abstract
By September 1, 2021, SARS-CoV-2, a respiratory virus that prompted Coronavirus Disease in 2019, had infected approximately 218,567,442 patients and claimed 4,534,151 lives. There are currently no specific treatments available for this lethal virus, although several drugs, including remdesivir and hydroxychloroquine, have been tested. The purpose of this study is to assess the activity of FDA-approved drugs cetilistat, abiraterone, diiodohydroxyquinoline, bexarotene, remdesivir, and hydroxychloroquine as potential SARS-CoV-2 main protease inhibitors. Additionally, this study aims to provide insight into the development of potential inhibitors that may inhibit ACE2, thereby preventing SARS-CoV-2 entry into the host cell and infection. To this end, remdesivir and hydroxychloroquine were used as comparator drugs. The calculations revealed that cetilistat, abiraterone, diiodohydroxyquinoline, and bexarotene inhibit main protease and ACE2 receptors more effectively than the well-known drug hydroxychloroquine when used against COVID-19. Meanwhile, bexarotene and cetilistat bind more tightly to the SARS-CoV-2 main protease and the ACE2 receptor, respectively, than remdesivir, a potential treatment for COVID-19 that is the first FDA-approved drug against this virus. As a result, the molecular dynamic simulations of these two drugs in the presence of proteins were investigated. The MD simulation results demonstrated that these drugs interact to stabilize the systems, allowing them to be used as effective inhibitors of these proteins. Meanwhile, bexarotene, abiraterone, cetilistat, and diiodohydroxyquinoline's systemic effects should be further investigated in suitable ex vivo human organ culture or organoids, animal models, or clinical trials.
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Affiliation(s)
- Nahid Shahabadi
- Inorganic Chemistry Department, Faculty of Chemistry, Razi University, Kermanshah, Iran
- Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Saba Zendehcheshm
- Inorganic Chemistry Department, Faculty of Chemistry, Razi University, Kermanshah, Iran
- Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mohammad Mahdavi
- Inorganic Chemistry Department, Faculty of Chemistry, Razi University, Kermanshah, Iran
| | - Fatemeh Khademi
- Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Sumon TA, Hussain MA, Hasan M, Rashid A, Abualreesh MH, Jang WJ, Sharifuzzaman SM, Brown CL, Lee EW, Hasan MT. Antiviral peptides from aquatic organisms: Functionality and potential inhibitory effect on SARS-CoV-2. AQUACULTURE (AMSTERDAM, NETHERLANDS) 2021; 541:736783. [PMID: 33883784 PMCID: PMC8049179 DOI: 10.1016/j.aquaculture.2021.736783] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 02/26/2021] [Accepted: 04/14/2021] [Indexed: 05/06/2023]
Abstract
Several antiviral peptides (AVPs) from aquatic organisms have been effective in interfering with the actions of infectious viruses, such as Human Immunodeficiency Virus-1 and Herpes Simplex Virus-1 and 2. AVPs are able to block viral attachment or entry into host cells, inhibit internal fusion or replication events by suppressing viral gene transcription, and prevent viral infections by modulating host immunity. Therefore, as promising therapeutics, the potential of aquatic AVPs for use against the COVID-19 pandemic caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is considered. At present no therapeutic drugs are yet available. A total of 32 AVPs derived from fish and shellfish species are discussed in this review paper with notes on their properties and mechanisms of action in the inhibition of viral diseases both in humans and animals, emphasizing on SARS-CoV-2. The molecular structure of novel SARS-CoV-2 with its entry mechanisms, clinical signs and symptoms are also discussed. In spite of only a few study of these AVPs against SARS-CoV-2, aquatic AVPs properties and infection pathways (entry, replication and particle release) into coronaviruses are linked in this paper to postulate an analysis of their potential but unconfirmed actions to impair SARS-CoV-2 infection in humans.
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Affiliation(s)
- Tofael Ahmed Sumon
- Department of Fish Health Management, Sylhet Agricultural University, Sylhet 3100, Bangladesh
| | - Md Ashraf Hussain
- Department of Fisheries Technology and Quality Control, Sylhet Agricultural University, Sylhet 3100, Bangladesh
| | - Mahmudul Hasan
- Department of Pharmaceuticals and Industrial Biotechnology, Sylhet Agricultural University, Sylhet 3100, Bangladesh
| | - Aminur Rashid
- Department of Aquaculture, Sylhet Agricultural University, Sylhet 3100, Bangladesh
| | - Muyassar Hamid Abualreesh
- Department of Marine Biology, Faculty of Marine Science, King Abdulaziz University, P.O. Box 80207, Jeddah 21589, Saudi Arabia
| | - Won Je Jang
- Biopharmaceutical Engineering Major, Division of Applied Bioengineering, Dong-Eui University, Busan 47340, Republic of Korea
| | - S M Sharifuzzaman
- Institute of Marine Sciences, University of Chittagong, Chittagong 4331, Bangladesh
| | - Christopher Lyon Brown
- FAO World Fisheries University Pilot Programme, Pukyong National University, Busan, South Korea
| | - Eun-Woo Lee
- Biopharmaceutical Engineering Major, Division of Applied Bioengineering, Dong-Eui University, Busan 47340, Republic of Korea
| | - Md Tawheed Hasan
- Department of Aquaculture, Sylhet Agricultural University, Sylhet 3100, Bangladesh
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