Biomedicinal Information Research Center (BIRC), National Institute of Advanced Industrial Science and Technology (AIST), 2-3-26, Aomi, Koto-ku, Tokyo 135 0064, Japan.
Expert Opin Drug Metab Toxicol. 2010 Jul;6(7):835-49. doi: 10.1517/17425255.2010.486399.
Structure-based in silico drug screening is now widely used in drug development projects. Structure-based in silico drug screening is generally performed using a protein-compound docking program and docking scoring function. Many docking programs have been developed over the last 2 decades, but their prediction accuracy remains insufficient.
This review highlights the recent progress of the post-processing of protein-compound complexes after docking.
These methods utilize ensembles of docking poses of compounds to improve the prediction accuracy for the ligand-docking pose and screening results. While the individual docking poses are not reliable, the free energy surface or the most probable docking pose can be estimated from the ensemble of docking poses.
The protein-compound docking program provides an arbitral rather than a canonical ensemble of docking poses. When the ensemble of docking poses satisfies the canonical ensemble, we can discuss how these post-docking analysis methods work and fail. Thus, improvements to the docking software will be needed in order to generate well-defined ensembles of docking poses.
基于结构的计算机药物筛选现在已广泛应用于药物开发项目中。基于结构的计算机药物筛选通常使用蛋白质-化合物对接程序和对接评分函数进行。在过去的 20 年中,已经开发了许多对接程序,但它们的预测准确性仍然不足。
本文综述了对接后处理的最新进展。
这些方法利用化合物的对接构象集合来提高配体对接构象和筛选结果的预测准确性。虽然单个对接构象不可靠,但可以从对接构象的集合中估计自由能表面或最可能的对接构象。
蛋白质-化合物对接程序提供了一个任意的而不是规范的对接构象集合。当对接构象的集合满足规范集合时,我们可以讨论这些对接后分析方法的工作原理和失败原因。因此,需要改进对接软件,以便生成定义良好的对接构象集合。