作者: H. Eric Xu , H. Eric Xu , Bradley M. Dickson , Parker W. de Waal , Zachary H. Ramjan
DOI: 10.1063/1.4964776
关键词: Topology 、 Regulator 、 Druggability 、 Design strategy 、 Computer cluster 、 Molecular biophysics 、 Chromatin 、 Molecular dynamics 、 Computer science 、 Ligand (biochemistry) 、 Nanotechnology
摘要: In this communication we introduce an efficient implementation of adaptive biasing that greatly improves the speed free energy computation in molecular dynamics simulations. We investigated use accelerated simulations to inform on compound design using a recently reported and clinically relevant inhibitor chromatin regulator BRD4 (bromodomain-containing protein 4). Benchmarking our local compute cluster, achieves up 2.5 times more force calls per day than plumed2. Results five 1 μs-long are presented, which reveal conformational switch between binding competent incompetent state. Stabilization led −3 kcal/mol improvement absolute energy. These studies suggest unexplored ligand principle offer new actionable hypotheses for medicinal chemistry efforts against druggable epigenetic target class.