Muryshev A E, Tarasov D N, Butygin A V, Butygina O Yu, Aleksandrov A B, Nikitin S M
Algodign LLC, Bolshaya Sadovaya street 8, Moscow 123379, Russia.
J Comput Aided Mol Des. 2003 Sep;17(9):597-605. doi: 10.1023/b:jcam.0000005766.95985.7e.
We present a novel scoring function for docking of small molecules to protein binding sites. The scoring function is based on a combination of two main approaches used in the field, the empirical and knowledge-based approaches. To calibrate the scoring function we used an iterative procedure in which a ligand's position and its score were determined self-consistently at each iteration. The scoring function demonstrated superiority in prediction of ligand positions in docking tests against the commonly used Dock, FlexX and Gold docking programs. It also demonstrated good accuracy of binding affinity prediction for the docked ligands.
我们提出了一种用于小分子与蛋白质结合位点对接的新型评分函数。该评分函数基于该领域中使用的两种主要方法的组合,即经验方法和基于知识的方法。为了校准评分函数,我们使用了一种迭代程序,其中在每次迭代中自洽地确定配体的位置及其分数。在针对常用的Dock、FlexX和Gold对接程序的对接测试中,该评分函数在预测配体位置方面表现出优越性。它还显示出对接配体的结合亲和力预测具有良好的准确性。