Dataset Information

An in silico map of the SARS-CoV-2 RNA Structurome.

ABSTRACT: SARS-CoV-2 is a positive-sense single-stranded RNA virus that has exploded throughout the global human population. This pandemic coronavirus strain has taken scientists and public health researchers by surprise and knowledge of its basic biology (e.g. structure/function relationships in its genomic, messenger and template RNAs) and modes for therapeutic intervention lag behind that of other human pathogens. In this report we used a recently-developed bioinformatics approach, ScanFold, to deduce the RNA structural landscape of the SARS-CoV-2 transcriptome. We recapitulate known elements of RNA structure and provide a model for the folding of an essential frameshift signal. Our results find that the SARS-CoV-2 is greatly enriched in unusually stable and likely evolutionarily ordered RNA structure, which provides a huge reservoir of potential drug targets for RNA-binding small molecules. Our results also predict regions that are accessible for intermolecular interactions, which can aid in the design of antisense therapeutics. All results are made available via a public database (the RNAStructuromeDB) where they may hopefully drive drug discovery efforts to inhibit SARS-CoV-2 pathogenesis.

SUBMITTER: Andrews RJ

PROVIDER: S-EPMC7263510 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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An <i>in silico</i> map of the SARS-CoV-2 RNA Structurome.

Andrews Ryan J RJ Peterson Jake M JM Haniff Hafeez S HS Chen Jonathan J Williams Christopher C Grefe Maison M Disney Matthew D MD Moss Walter N WN

bioRxiv : the preprint server for biology 20200418

SARS-CoV-2 is a positive-sense single-stranded RNA virus that has exploded throughout the global human population. This pandemic coronavirus strain has taken scientists and public health researchers by surprise and knowledge of its basic biology (e.g. structure/function relationships in its genomic, messenger and template RNAs) and modes for therapeutic intervention lag behind that of other human pathogens. In this report we used a recently-developed bioinformatics approach, ScanFold, to deduce ...[more]

PMID: 32511381

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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

An in silico map of the SARS-CoV-2 RNA Structurome.

Publications

An <i>in silico</i> map of the SARS-CoV-2 RNA Structurome.

Similar Datasets

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