Robust scoring functions for protein-ligand interactions with quantum chemical charge models.

ABSTRACT: Ordinary least-squares (OLS) regression has been used widely for constructing the scoring functions for protein-ligand interactions. However, OLS is very sensitive to the existence of outliers, and models constructed using it are easily affected by the outliers or even the choice of the data set. On the other hand, determination of atomic charges is regarded as of central importance, because the electrostatic interaction is known to be a key contributing factor for biomolecular association. In the development of the AutoDock4 scoring function, only OLS was conducted, and the simple Gasteiger method was adopted. It is therefore of considerable interest to see whether more rigorous charge models could improve the statistical performance of the AutoDock4 scoring function. In this study, we ha

SUBMITTER: Wang JC 

PROVIDER: S-EPMC4639406 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature