Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/20666
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dc.contributor.authorWalter Filgueira de Azevedo Junior-
dc.contributor.authorBITENCOURT-FERREIRA, GABRIELA-
dc.contributor.authorGODOY, JOANA RETZKE-
dc.contributor.authorADRIANO, HILDA MAYELA ARAN-
dc.contributor.authorDOS SANTOS BEZERRA, WALLYSON ANDRÉ-
dc.contributor.authorDOS SANTOS SOARES, ALEXANDRA MARTINS-
dc.date.accessioned2021-12-22T17:26:47Z-
dc.date.available2021-12-22T17:26:47Z-
dc.date.issued2021-
dc.identifier.issn0929-8673-
dc.identifier.urihttps://hdl.handle.net/10923/20666-
dc.language.isoen-
dc.relation.ispartofCURRENT MEDICINAL CHEMISTRY-
dc.rightsopenAccess-
dc.subjectdocking-
dc.subjectAutoDock4-
dc.subjectMachine learning-
dc.subjectCOVID-19-
dc.subjectSARS-CoV-2-
dc.subjectmain protease-
dc.titleProtein-ligand Docking Simulations with AutoDock4 Focused on the Main Protease of SARS-CoV-2-
dc.typeArticle-
dc.date.updated2021-12-22T17:26:46Z-
dc.identifier.doiDOI:10.2174/0929867328666210329094111-
dc.jtitleCURRENT MEDICINAL CHEMISTRY-
dc.volume28-
dc.spage1-
dc.epage15-
Appears in Collections:Artigo de Periódico



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