Computational Biomolecular Dynamics Group, Max-Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany.
Computational Chemistry, Janssen Research and Development, Janssen Pharmaceutica N. V., Turnhoutseweg 30, 2340 Beerse, Belgium.
J Chem Inf Model. 2022 Mar 14;62(5):1172-1177. doi: 10.1021/acs.jcim.1c01445. Epub 2022 Feb 22.
Nowadays, drug design projects benefit from highly accurate protein-ligand binding free energy predictions based on molecular dynamics simulations. While such calculations have been computationally expensive in the past, we now demonstrate that workflows built on open source software packages can efficiently leverage pre-exascale computing resources to screen hundreds of compounds in a matter of days. We report our results of free energy calculations on a large set of pharmaceutically relevant targets assembled to reflect industrial drug discovery projects.
如今,药物设计项目受益于基于分子动力学模拟的高度精确的蛋白质-配体结合自由能预测。虽然这些计算在过去计算成本很高,但我们现在证明,基于开源软件包构建的工作流程可以有效地利用预 exascale 计算资源在几天内筛选数百种化合物。我们报告了在一组大型制药相关靶标上进行自由能计算的结果,这些靶标被组装来反映工业药物发现项目。