Is It Reliable to Take the Molecular Docking Top Scoring Position as the Best Solution without Considering Available Structural Data?
dc.creator | Ramírez D. | |
dc.creator | Caballero J. | |
dc.date.accessioned | 2020-09-02T22:26:32Z | |
dc.date.accessioned | 2022-11-08T20:19:09Z | |
dc.date.available | 2020-09-02T22:26:32Z | |
dc.date.available | 2022-11-08T20:19:09Z | |
dc.date.created | 2020-09-02T22:26:32Z | |
dc.date.issued | 2018 | |
dc.identifier | 23, 5, - | |
dc.identifier | 14203049 | |
dc.identifier | https://hdl.handle.net/20.500.12728/5949 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5143042 | |
dc.language | en | |
dc.publisher | MDPI AG | |
dc.subject | AutoDock | |
dc.subject | Cross-docking | |
dc.subject | Glide | |
dc.subject | Rigid molecular docking | |
dc.subject | RMSD | |
dc.subject | Scoring energy | |
dc.subject | ligand | |
dc.subject | protein | |
dc.subject | protein binding | |
dc.subject | biology | |
dc.subject | chemistry | |
dc.subject | metabolism | |
dc.subject | molecular docking | |
dc.subject | molecular model | |
dc.subject | procedures | |
dc.subject | X ray crystallography | |
dc.subject | Computational Biology | |
dc.subject | Crystallography, X-Ray | |
dc.subject | Ligands | |
dc.subject | Models, Molecular | |
dc.subject | Molecular Docking Simulation | |
dc.subject | Protein Binding | |
dc.subject | Proteins | |
dc.title | Is It Reliable to Take the Molecular Docking Top Scoring Position as the Best Solution without Considering Available Structural Data? | |
dc.type | Article |