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- Q96607985 description "artículu científicu espublizáu en xunu de 2020" @default.
- Q96607985 description "im Juni 2020 veröffentlichter wissenschaftlicher Artikel" @default.
- Q96607985 description "scientific article published on 16 June 2020" @default.
- Q96607985 description "wetenschappelijk artikel" @default.
- Q96607985 description "наукова стаття, опублікована 16 червня 2020" @default.
- Q96607985 name "In silico prediction of potential inhibitors for the Main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing" @default.
- Q96607985 name "In silico prediction of potential inhibitors for the Main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing" @default.
- Q96607985 type Item @default.
- Q96607985 label "In silico prediction of potential inhibitors for the Main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing" @default.
- Q96607985 label "In silico prediction of potential inhibitors for the Main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing" @default.
- Q96607985 prefLabel "In silico prediction of potential inhibitors for the Main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing" @default.
- Q96607985 prefLabel "In silico prediction of potential inhibitors for the Main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing" @default.
- Q96607985 P1433 Q96607985-77E063BE-7D92-4434-9CF7-86CB5BD0CF96 @default.
- Q96607985 P1476 Q96607985-9EDB85AE-BE35-491A-8754-82755974AE19 @default.
- Q96607985 P2093 Q96607985-8D39DB7F-B2CC-47E1-BF62-DF75EBBA6EAB @default.
- Q96607985 P2093 Q96607985-A75E3400-E1C7-48E3-AB87-0CA657675094 @default.
- Q96607985 P2093 Q96607985-A77CE963-4AAA-45EF-9BB5-37B134A049C8 @default.
- Q96607985 P31 Q96607985-59D480C6-4021-4B52-8193-816D6A17671F @default.
- Q96607985 P356 Q96607985-CDF1DE48-CBBA-4338-8B08-F138479CE132 @default.
- Q96607985 P577 Q96607985-1D784749-54B7-4598-BDC4-839334E1378E @default.
- Q96607985 P698 Q96607985-19EAF0C6-863C-49E3-A520-C5C6E4121A5D @default.
- Q96607985 P921 Q96607985-EC923A0C-B81B-4A51-AC0B-BCE052A7B26C @default.
- Q96607985 P932 Q96607985-F37CB8C2-84BF-4480-87B0-416A6534113C @default.
- Q96607985 P356 J.JIPH.2020.06.016 @default.
- Q96607985 P698 32561274 @default.
- Q96607985 P1433 Q15817472 @default.
- Q96607985 P1476 "In silico prediction of potential inhibitors for the Main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing" @default.
- Q96607985 P2093 "Chirag N Patel" @default.
- Q96607985 P2093 "Harvijay Singh" @default.
- Q96607985 P2093 "Yogesh Kumar" @default.
- Q96607985 P31 Q13442814 @default.
- Q96607985 P356 "10.1016/J.JIPH.2020.06.016" @default.
- Q96607985 P577 "2020-06-16T00:00:00Z" @default.
- Q96607985 P698 "32561274" @default.
- Q96607985 P921 Q82069695 @default.
- Q96607985 P932 "7297718" @default.