Dataset Information

Identification of Potential Key Agents for Targeting RNA-Dependent RNA Polymerase of SARS-CoV-2 by Integrated Analysis and Virtual Drug Screening.

ABSTRACT: Background: RNA-dependent RNA polymerase (RdRp) is the key enzyme responsible for the SARS-CoV-2 replication process and catalyzes the synthesis of complementary minus strand RNA and genomic plus strand RNA, often recognized as good targets for antiviral drugs.

Materials and methods: A systematic screening of existing antiviral compounds, family analysis, conserved domain analysis, three-dimensional structure modeling, drug virtual screening, and bioassays were performed to identify agents that potentially targeted RNA-dependent RNA polymerase of SARS-CoV-2.

Results: Four thousand nine hundred and forty seven antiviral lead compounds were selected and evaluated by systematic screening. Of these, 359 agents were screened by family analysis and conserved domain analysis. They were further analyzed by three-dimensional structure modeling, virtual drug screening, and bioassays. The results identified 102 agents with potential for repurposing to target the RNA-dependent RNA polymerase of SARS-CoV-2.

Conclusion: This study identified 102 key agents with potential anti-SARS-CoV-2 RNA-dependent RNA polymerase function and prospects of rapid clinical application for the treatment of COVID-19.

SUBMITTER: Ao S

PROVIDER: S-EPMC7705243 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Identification of Potential Key Agents for Targeting RNA-Dependent RNA Polymerase of SARS-CoV-2 by Integrated Analysis and Virtual Drug Screening.

Ao Shuang S Han Dan D Sun Lei L Wu Yanhong Y Liu Shuang S Huang Yaojiang Y

Frontiers in genetics 20201117

<h4>Background</h4>RNA-dependent RNA polymerase (RdRp) is the key enzyme responsible for the SARS-CoV-2 replication process and catalyzes the synthesis of complementary minus strand RNA and genomic plus strand RNA, often recognized as good targets for antiviral drugs.<h4>Materials and methods</h4>A systematic screening of existing antiviral compounds, family analysis, conserved domain analysis, three-dimensional structure modeling, drug virtual screening, and bioassays were performed to identify ...[more]

PMID: 33281876

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Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), previously known as 2019 novel coronavirus (2019-nCoV), has spread rapidly across the globe, creating an unparalleled global health burden and spurring a deepening economic crisis. As of July 7th, 2020, almost seven months into the outbreak, there are no approved vaccines and few treatments available. Developing drugs that target multiple points in the viral life cycle could serve as a strategy to tackle the current as well as future coronavirus pandemics. Here we leverage the power of our recently developed in silico screening platform, VirtualFlow, to identify inhibitors that target SARS-CoV-2. VirtualFlow is able to efficiently harness the power of computing clusters and cloud-based computing platforms to carry out ultra-large scale virtual screens. In this unprecedented structure-based multi-target virtual screening campaign, we have used VirtualFlow to screen an average of approximately 1 billion molecules against each of 40 different target sites on 17 different potential viral and host targets in the cloud. In addition to targeting the active sites of viral enzymes, we also target critical auxiliary sites such as functionally important protein-protein interaction interfaces. This multi-target approach not only increases the likelihood of finding a potent inhibitor, but could also help identify a collection of anti-coronavirus drugs that would retain efficacy in the face of viral mutation. Drugs belonging to different regimen classes could be combined to develop possible combination therapies, and top hits that bind at highly conserved sites would be potential candidates for further development as coronavirus drugs. Here, we present the top 200 in silico hits for each target site. While in-house experimental validation of some of these compounds is currently underway, we want to make this array of potential inhibitor candidates available to researchers worldwide in consideration of the pressing need for fast-tracked drug development.

Project description:An outbreak of a cluster of viral pneumonia cases, subsequently identified as coronavirus disease 2019 (COVID-19), due to a novel SARS-CoV-2 necessitates an urgent need for a vaccine to prevent infection or an approved medication for a cure. In our in silico molecular docking study, a total of 173 compounds, including FDA-approved antiviral drugs, with good ADME descriptors, and some other nucleotide analogues were screened. The results show that these compounds demonstrate strong binding affinity for the residues at the active sites of RNA-dependent RNA-polymerase (RdRp) modelled structures and Chymotrypsin-like cysteine protease (3CLpro) of the HCoV proteins. Free energies (ΔG's) of binding for SARS-CoV-2 and SARS-CoV RdRp range from - 5.4 to - 8.8 kcal/mol and - 4.9 to - 8.7 kcal/mol, respectively. Also, SARS-CoV-2 and SARS-CoV 3CLpro gave ΔG values ranging from - 5.1 to - 8.4 kcal/mol and - 5.5 to - 8.6 kcal/mol, respectively. Interesting results are obtained for ivermectin, an antiparasitic agent with broad spectrum activity, which gave the highest binding energy value (- 8.8 kcal/mol) against the 3CLpro of SARS-CoV-2 and RdRps of both SARS-CoV and SARS-CoV-2. The reason for such high binding energy values is probably due to the presence of hydroxy, methoxy and sugar moieties in its structure. The stability of the protein-ligand complexes of polymerase inhibitors considered in this investigation, such as Sofosbuvir, Remdesivir, Tenofovir, Ribavirin, Galidesivir, 5c3, 5h1 and 7a1, show strong to moderate hydrogen bonding and hydrophobic interactions (π-π stacked, π-π T-shaped, π-sigma and π-alkyl). The stability provided from such interactions translate into greater antiviral activity or inhibitory effect of the ligands. Assessment of the average free energies of binding of the FDA approved drugs are highly comparable for conformers of a particular inhibitor, indicating similar modes of binding within the pockets.Supplementary informationThe online version contains supplementary material available at 10.1007/s13721-021-00299-2.

Dataset Information

Identification of Potential Key Agents for Targeting RNA-Dependent RNA Polymerase of SARS-CoV-2 by Integrated Analysis and Virtual Drug Screening.

Publications

Identification of Potential Key Agents for Targeting RNA-Dependent RNA Polymerase of SARS-CoV-2 by Integrated Analysis and Virtual Drug Screening.

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