Dataset Information

Interaction of Drug Candidates with Various SARS-CoV-2 Receptors: An in Silico Study to Combat COVID-19.

ABSTRACT: The world is currently facing the COVID-19 pandemic caused by the SARS-CoV-2 virus. The pandemic is causing the death of people around the world, and public and social health measures to slow or prevent the spread of COVID-19 are being implemented with the involvement of all members of society. Research institutions are accelerating the discovery of vaccines and therapies for COVID-19. In this work, molecular docking was used to study (in silico) the interaction of 24 ligands, divided into four groups, with four SARS-CoV-2 receptors, Nsp9 replicase, main protease (Mpro), NSP15 endoribonuclease, and spike protein (S-protein) interacting with human ACE2. The results showed that the antimalarial drug Metaquine and anti-HIV antiretroviral Saquinavir interacted with all the studied receptors, indicating that they are potential candidates for multitarget drugs for COVID-19.

SUBMITTER: Barros RO

PROVIDER: S-EPMC7640951 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Interaction of Drug Candidates with Various SARS-CoV-2 Receptors: An in Silico Study to Combat COVID-19.

Barros Romulo O RO Junior Fabio L C C FLCC Pereira Wildrimak S WS Oliveira Neiva M N NMN Ramos Ricardo M RM

Journal of proteome research 20200811 11

The world is currently facing the COVID-19 pandemic caused by the SARS-CoV-2 virus. The pandemic is causing the death of people around the world, and public and social health measures to slow or prevent the spread of COVID-19 are being implemented with the involvement of all members of society. Research institutions are accelerating the discovery of vaccines and therapies for COVID-19. In this work, molecular docking was used to study (in silico) the interaction of 24 ligands, divided into four ...[more]

PMID: 32786890

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Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the coronavirus disease 2019 (COVID-19). The World Health Organization (WHO) has announced that COVID-19 is a pandemic having a higher spread rate rather than the mortality. Identification of a potential approach or therapy against COVID-19 is still under consideration. Therefore, it is essential to have an insight into SARS-CoV-2, its interacting partner, and domains for an effective treatment. The present study is divided into three main categories, including SARS-CoV-2 prominent receptor and its expression levels, other interacting partners, and their binding domains. The first section focuses primarily on coronaviruses' general aspects (SARS-CoV-2, SARS-CoV, and the Middle East Respiratory Syndrome Coronaviruses (MERS-CoV)) their structures, similarities, and mode of infections. The second section discusses the host receptors which includes the human targets of coronaviruses like dipeptidyl peptidase 4 (DPP4), CD147, CD209L, Angiotensin-Converting Enzyme 2 (ACE2), and other miscellaneous targets (type-II transmembrane serine proteases (TTSPs), furin, trypsin, cathepsins, thermolysin, elastase, phosphatidylinositol 3-phosphate 5-kinase, two-pore segment channel, and epithelium sodium channel C-α subunit). The human cell receptor, ACE2 plays an essential role in the Renin-Angiotensin system (RAS) pathway and COVID-19. Thus, this section also discusses the ACE2 expression and risk of COVID-19 infectivity in various organs and tissues such as the liver, lungs, intestine, heart, and reproductive system in the human body. Absence of ACE2 protein expression in immune cells could be used for limiting the SARS-CoV-2 infection. The third section covers the current available approaches for COVID-19 treatment. Overall, this review focuses on the critical role of human cell receptors involved in coronavirus pathogenesis, which would likely be used in designing target-specific drugs to combat COVID-19.

Dataset Information

Interaction of Drug Candidates with Various SARS-CoV-2 Receptors: An in Silico Study to Combat COVID-19.

Publications

Interaction of Drug Candidates with Various SARS-CoV-2 Receptors: An in Silico Study to Combat COVID-19.

Similar Datasets

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