Molecular modeling study of checkpoint kinase 1 inhibitors by multiple docking strategies and prime/MM-GBSA calculation

Juan Du, Huijun Sun, Lili Xi, Jiazhong Li, Ying Yang, Huanxiang Liu, Xiaojun Yao

Research output: Contribution to journalArticlepeer-review

118 Citations (Scopus)

Abstract

Developing chemicals that inhibit checkpoint kinase 1 (Chk1) is a promising adjuvant therapeutic to improve the efficacy and selectivity of DNA-targeting agents. Reliable prediction of binding-free energy and binding affinity of Chk1 inhibitors can provide a guide for rational drug design. In this study, multiple docking strategies and Prime/Molecular Mechanics Generalized Born Surface Area (Prime/MM-GBSA) calculation were applied to predict the binding mode and free energy for a series of benzoisoquinolinones as Chk1 inhibitors. Reliable docking results were obtained using induced-fit docking and quantum mechanics/molecular mechanics (QM/MM) docking, which showed superior performance on both ligand binding pose and docking score accuracy to the rigid-receptor docking. Then, the Prime/MM-GBSA method based on the docking complex was used to predict the binding-free energy. The combined use of QM/MM docking and Prime/MM-GBSA method could give a high correlation between the predicted binding-free energy and experimentally determined pIC50. The molecular docking combined with Prime/MM-GBSA simulation can not only be used to rapidly and accurately predict the binding-free energy of novel Chk1 inhibitors but also provide a novel strategy for lead discovery and optimization targeting Chk1.

Original languageEnglish
Pages (from-to)2800-2809
Number of pages10
JournalJournal of Computational Chemistry
Volume32
Issue number13
DOIs
Publication statusPublished - Oct 2011
Externally publishedYes

Keywords

  • Prime/MM-GBSA
  • QM/MM docking
  • binding-free energy
  • checkpoint kinase 1 inhibitors
  • induced-fit docking

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