元动力学
虚拟筛选
假阳性悖论
结合亲和力
对接(动物)
真阳性率
计算生物学
化学
分子动力学
计算机科学
生物系统
组合化学
数据挖掘
生物
生物化学
计算化学
机器学习
人工智能
受体
医学
护理部
作者
Kara J. Cutrona,Ana S. Newton,S.G. Krimmer,Julian Tirado‐Rives,William L. Jorgensen
标识
DOI:10.1021/acs.jcim.0c00276
摘要
With standard scoring methods, top-ranked compounds from virtual screening by docking often turn out to be inactive. For this reason, metadynamics, a method used to sample rare events, was studied to further evaluate docking poses with the aim of reducing false positives. Specifically, virtual screening was performed with Glide SP to seek potential molecules to bind to the ATP site in the pseudokinase domain of JAK2 kinase, and promising compounds were selected from the top-ranked 1000 based on visualization. Rescoring with Glide XP, GOLD, and MM/GBSA was unable to differentiate well between active and inactive compounds. Metadynamics was then used to gauge the relative binding affinity from the required time or the potential of mean force needed to dissociate the ligand from the bound complex. With consideration of previously known binders of varying affinities, metadynamics was able to differentiate between the most active compounds and inactive or weakly active ones, and it could identify correctly most of the selected virtual screening compounds as false positives. Thus, metadynamics has the potential to be a viable postprocessing method for virtual screening, minimizing the expense of buying or synthesizing inactive compounds.
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