| Literature DB >> 31279568 |
Óscar Díaz1, James A R Dalton1, Jesús Giraldo2.
Abstract
Molecular dynamics (MD) simulations can mechanistically explain receptor function. However, the enormous data sets that they may imply can be a hurdle. Plante and colleagues (Molecules, 2019) recently described a machine learning approach to the analysis of MD simulations. The approach successfully classified ligands and identified functional receptor motifs and thus it seems promising for mechanism-based drug discovery.Keywords: GPCR; agonist; biased signaling; drug design; machine learning; molecular dynamics
Year: 2019 PMID: 31279568 DOI: 10.1016/j.tips.2019.06.005
Source DB: PubMed Journal: Trends Pharmacol Sci ISSN: 0165-6147 Impact factor: 14.819