Literature DB >> 32722864

In silico Drug Repurposing for COVID-19: Targeting SARS-CoV-2 Proteins through Docking and Consensus Ranking.

Claudio N Cavasotto1,2,3, Juan I Di Filippo1.   

Abstract

In December 2019, an infectious disease caused by the coronavirus SARS-CoV-2 appeared in Wuhan, China. This disease (COVID-19) spread rapidly worldwide, and on March 2020 was declared a pandemic by the World Health Organization (WHO). Today, over 21 million people have been infected, with more than 750.000 casualties. Today, no vaccine or antiviral drug is available. While the development of a vaccine might take at least a year, and for a novel drug, even longer; finding a new use to an old drug (drug repurposing) could be the most effective strategy. We present a docking-based screening using a quantum mechanical scoring of a library built from approved drugs and compounds undergoing clinical trials, against three SARS-CoV-2 target proteins: the spike or S-protein, and two proteases, the main protease and the papain-like protease. The S-protein binds directly to the Angiotensin Converting Enzyme 2 receptor of the human host cell surface, while the two proteases process viral polyproteins. Following the analysis of our structure-based compound screening, we propose several structurally diverse compounds (either FDA-approved or in clinical trials) that could display antiviral activity against SARS-CoV-2. Clearly, these compounds should be further evaluated in experimental assays and clinical trials to confirm their actual activity against the disease. We hope that these findings may contribute to the rational drug design against COVID-19.
© 2020 Wiley-VCH GmbH.

Entities:  

Keywords:  COVID-19, SARS-CoV-2; Consensus Scoring; Drug Repurposing; Molecular Docking; Quantum Mechanical Scoring

Year:  2020        PMID: 32722864     DOI: 10.1002/minf.202000115

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


  38 in total

Review 1.  Investigational antiviral drugs for the treatment of COVID-19 patients.

Authors:  Samineh Beheshtirouy; Elnaz Khani; Sajad Khiali; Taher Entezari-Maleki
Journal:  Arch Virol       Date:  2022-02-09       Impact factor: 2.574

2.  Using informative features in machine learning based method for COVID-19 drug repurposing.

Authors:  Rosa Aghdam; Mahnaz Habibi; Golnaz Taheri
Journal:  J Cheminform       Date:  2021-09-20       Impact factor: 5.514

Review 3.  Novel Drug Design for Treatment of COVID-19: A Systematic Review of Preclinical Studies.

Authors:  Sarah Mousavi; Shima Zare; Mahmoud Mirzaei; Awat Feizi
Journal:  Can J Infect Dis Med Microbiol       Date:  2022-09-25       Impact factor: 2.585

Review 4.  Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2.

Authors:  Kaifu Gao; Rui Wang; Jiahui Chen; Limei Cheng; Jaclyn Frishcosy; Yuta Huzumi; Yuchi Qiu; Tom Schluckbier; Xiaoqi Wei; Guo-Wei Wei
Journal:  Chem Rev       Date:  2022-05-20       Impact factor: 72.087

5.  Artificial Intelligence-Guided De Novo Molecular Design Targeting COVID-19.

Authors:  Srilok Srinivasan; Rohit Batra; Henry Chan; Ganesh Kamath; Mathew J Cherukara; Subramanian K R S Sankaranarayanan
Journal:  ACS Omega       Date:  2021-05-04

6.  In Silico Investigation of Phytoconstituents of Medicinal Herb 'Piper Longum' Against SARS-CoV-2 by Molecular Docking and Molecular Dynamics Analysis.

Authors:  Shradha Lakhera; Kamal Devlal; Arabinda Ghosh; Meenakshi Rana
Journal:  Results Chem       Date:  2021-09-24

7.  Amomum tsao-ko essential oil, a novel anti-COVID-19 Omicron spike protein natural products: A computational study.

Authors:  Ju-Zhao Liu; Hong-Chang Lyu; Yu-Jie Fu; Qi Cui
Journal:  Arab J Chem       Date:  2022-04-18       Impact factor: 6.212

8.  Identifying and repurposing antiviral drugs against severe acute respiratory syndrome coronavirus 2 with in silico and in vitro approaches.

Authors:  Koichi Watashi
Journal:  Biochem Biophys Res Commun       Date:  2020-11-20       Impact factor: 3.575

Review 9.  Potential Therapeutic Agents and Associated Bioassay Data for COVID-19 and Related Human Coronavirus Infections.

Authors:  Qiongqiong Angela Zhou; Junko Kato-Weinstein; Yingzhu Li; Yi Deng; Roger Granet; Linda Garner; Cynthia Liu; Dmitrii Polshakov; Chris Gessner; Steven Watkins
Journal:  ACS Pharmacol Transl Sci       Date:  2020-07-30

10.  In silico Screening of Natural Phytocompounds Towards Identification of Potential Lead Compounds to Treat COVID-19.

Authors:  Muthumanickam Sankar; Balajee Ramachandran; Boomi Pandi; Nachiappan Mutharasappan; Vidhyavathi Ramasamy; Poorani Gurumallesh Prabu; Gowrishankar Shanmugaraj; Yao Wang; Brintha Muniyandai; Subaskumar Rathinasamy; Balakumar Chandrasekaran; Mohammad F Bayan; Jeyakanthan Jeyaraman; Gurumallesh Prabu Halliah; Solomon King Ebenezer
Journal:  Front Mol Biosci       Date:  2021-07-05
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