Marine Alga Ulva fasciata-Derived Molecules for the Potential Treatment of SARS-CoV-2: An In Silico Approach
DC Field | Value | Language |
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dc.contributor.author | Kalasariya, Haresh S. | - |
dc.contributor.author | Patel, Nikunj B. | - |
dc.contributor.author | Gacem, Amel | - |
dc.contributor.author | Alsufyani, Taghreed | - |
dc.contributor.author | Reece, Lisa M. | - |
dc.contributor.author | Yadav, Virendra Kumar | - |
dc.contributor.author | Awwad, Nasser S. | - |
dc.contributor.author | Ibrahium, Hala A. | - |
dc.contributor.author | Ahn, Yongtae | - |
dc.contributor.author | Yadav, Krishna Kumar | - |
dc.contributor.author | Jeon, Byong-Hun | - |
dc.date.accessioned | 2022-10-25T07:37:30Z | - |
dc.date.available | 2022-10-25T07:37:30Z | - |
dc.date.created | 2022-10-06 | - |
dc.date.issued | 2022-09 | - |
dc.identifier.issn | 1660-3397 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/172543 | - |
dc.description.abstract | SARS-CoV-2 is the causative agent of the COVID-19 pandemic. This in silico study aimed to elucidate therapeutic efficacies against SARS-CoV-2 of phyco-compounds from the seaweed, Ulva fasciata. Twelve phyco-compounds were isolated and toxicity was analyzed by VEGA QSAR. Five compounds were found to be nonmutagenic, noncarcinogenic and nontoxic. Moreover, antiviral activity was evaluated by PASS. Binding affinities of five of these therapeutic compounds were predicted to possess probable biological activity. Fifteen SARS-CoV-2 target proteins were analyzed by the AutoDock Vina program for molecular docking binding energy analysis and the 6Y84 protein was determined to possess optimal binding affinities. The Desmond program from Schrodinger's suite was used to study high performance molecular dynamic simulation properties for 3,7,11,15-Tetramethyl-2-hexadecen-1-ol-6Y84 for better drug evaluation. The ligand with 6Y84 had stronger binding affinities (-5.9 kcal/mol) over two standard drugs, Chloroquine (-5.6 kcal/mol) and Interferon alpha-2b (-3.8 kcal/mol). Swiss ADME calculated physicochemical/lipophilicity/water solubility/pharmacokinetic properties for 3,7,11,15-Tetramethyl-2-hexadecen-1-ol, showing that this therapeutic agent may be effective against SARS-CoV-2. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.title | Marine Alga Ulva fasciata-Derived Molecules for the Potential Treatment of SARS-CoV-2: An In Silico Approach | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeon, Byong-Hun | - |
dc.identifier.doi | 10.3390/md20090586 | - |
dc.identifier.scopusid | 2-s2.0-85138459782 | - |
dc.identifier.wosid | 000856763200001 | - |
dc.identifier.bibliographicCitation | MARINE DRUGS, v.20, no.9, pp.1 - 38 | - |
dc.relation.isPartOf | MARINE DRUGS | - |
dc.citation.title | MARINE DRUGS | - |
dc.citation.volume | 20 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 38 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Pharmacology & Pharmacy | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Medicinal | - |
dc.relation.journalWebOfScienceCategory | Pharmacology & Pharmacy | - |
dc.subject.keywordPlus | GASTROINTESTINAL ABSORPTION | - |
dc.subject.keywordPlus | DRUG DISCOVERY | - |
dc.subject.keywordPlus | CORONAVIRUS | - |
dc.subject.keywordPlus | CHEMISTRY | - |
dc.subject.keywordPlus | PROTEASE | - |
dc.subject.keywordPlus | POLYSACCHARIDES | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | EXTRACTION | - |
dc.subject.keywordPlus | INHIBITOR | - |
dc.subject.keywordPlus | DOCKING | - |
dc.subject.keywordAuthor | SARS-CoV-2 | - |
dc.subject.keywordAuthor | Ulva fasciata | - |
dc.subject.keywordAuthor | iGEMDOCK | - |
dc.subject.keywordAuthor | PASS | - |
dc.subject.keywordAuthor | Swiss ADME | - |
dc.subject.keywordAuthor | VEGA QSAR | - |
dc.subject.keywordAuthor | Schrodinger | - |
dc.subject.keywordAuthor | Desmond software | - |
dc.identifier.url | https://www.mdpi.com/1660-3397/20/9/586 | - |
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