Integrating docking scores and key interaction profiles to improve the accuracy of molecular docking: towards novel B-Raf^V600E inhibitors.

ABSTRACT: A set of ninety-eight B-Raf^V600E inhibitors was used for the development of a molecular docking based QSAR model using linear and non-linear regression models. The integration of docking scores and key interaction profiles significantly improved the accuracy of the QSAR models, providing reasonable statistical parameters (R_train² = 0.935, R_test² = 0.728 and Q_CV² = 0.905). The established MD-SVR (molecular docking based SMV regression) model as well as model screening of a natural product database was carried out and two natural products (quercetin and myricetin) with good prediction activities were biologically evaluated. Both compounds exhibited promising B-Raf^V600E inhibitory acti

SUBMITTER: Hu CQ 

PROVIDER: S-EPMC6084233 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature