Cited 12 time in
Insilico drug repurposing using FDA approved drugs against Membrane protein of SARS-CoV-2
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Peele, K. Abraham | - |
| dc.contributor.author | Kumar, Vikas | - |
| dc.contributor.author | Parate, Shraddha | - |
| dc.contributor.author | Srirama, Krupanidhi | - |
| dc.contributor.author | Lee, Keun Woo | - |
| dc.contributor.author | Venkateswarulu, T. C. | - |
| dc.date.accessioned | 2024-12-02T23:30:37Z | - |
| dc.date.available | 2024-12-02T23:30:37Z | - |
| dc.date.issued | 2021-06 | - |
| dc.identifier.issn | 0022-3549 | - |
| dc.identifier.issn | 1520-6017 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/72848 | - |
| dc.description.abstract | The novel coronavirus (SARS-CoV-2) outbreak has started taking away the millions of lives worldwide. Identification of known and approved drugs against novel coronavirus disease (COVID-19) seems to be an urgent need for the repurposing of the existing drugs. So, here we examined a safe strategy of using approved drugs of SuperDRUG2 database against modeled membrane protein (M-protein) of SARS-CoV-2 which is essential for virus assembly by using molecular docking-based virtual screening. A total of 3639 drugs from SuperDRUG2 database and additionally 14 potential drugs reported against COVID-19 proteins were selected. Molecular docking analyses revealed that nine drugs can bind the active site of M-protein with desirable molecular interactions. We therefore applied molecular dynamics simulations and binding free energy calculation using MM-PBSA to analyze the stability of the compounds. The complexes of M-protein with the selected drugs were simulated for 50 ns and ranked according to their binding free energies. The binding mode of the drugs with M-protein was analyzed and it was observed that Colchicine, Remdesivir, Bafilomycin A1 from COVID-19 suggested drugs and Temozolomide from SuperDRUG2 database displayed desirable molecular interactions and higher binding affinity towards M-protein. Interestingly, Colchicine was found as the top most binder among tested drugs against M-protein. We therefore additionally identified four Colchicine derivatives which can bind efficiently with M-protein and have better pharmacokinetic properties. We recommend that these drugs can be tested further through in vitro studies against SARS-CoV-2 M-protein. (c) 2021 American Pharmacists Association. Published by Elsevier Inc. All rights reserved. | - |
| dc.format.extent | 9 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | ELSEVIER SCIENCE INC | - |
| dc.title | Insilico drug repurposing using FDA approved drugs against Membrane protein of SARS-CoV-2 | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1016/j.xphs.2021.03.004 | - |
| dc.identifier.scopusid | 2-s2.0-85102754864 | - |
| dc.identifier.wosid | 000652025100005 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF PHARMACEUTICAL SCIENCES, v.110, no.6, pp 2346 - 2354 | - |
| dc.citation.title | JOURNAL OF PHARMACEUTICAL SCIENCES | - |
| dc.citation.volume | 110 | - |
| dc.citation.number | 6 | - |
| dc.citation.startPage | 2346 | - |
| dc.citation.endPage | 2354 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Pharmacology & Pharmacy | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Medicinal | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Pharmacology & Pharmacy | - |
| dc.subject.keywordPlus | COVID-19 | - |
| dc.subject.keywordPlus | INHIBITORS | - |
| dc.subject.keywordPlus | IDENTIFICATION | - |
| dc.subject.keywordPlus | SIMULATIONS | - |
| dc.subject.keywordPlus | GROMACS | - |
| dc.subject.keywordPlus | TOOL | - |
| dc.subject.keywordAuthor | SARS-CoV-2 | - |
| dc.subject.keywordAuthor | Membrane protein | - |
| dc.subject.keywordAuthor | Docking | - |
| dc.subject.keywordAuthor | Molecular dynamics simulations | - |
| dc.subject.keywordAuthor | Pharmacokinetics | - |
| dc.subject.keywordAuthor | MM-PBSA | - |
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