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Statistical analysis of EGFR structures' performance in virtual screening.

ABSTRACT: In this work the ability of EGFR structures to distinguish true inhibitors from decoys in docking and MM-PBSA is assessed by statistical procedures. The docking performance depends critically on the receptor conformation and bound state. The enrichment of known inhibitors is well correlated with the difference between EGFR structures rather than the bound-ligand property. The optimal structures for virtual screening can be selected based purely on the complex information. And the mixed combination of distinct EGFR conformations is recommended for ensemble docking. In MM-PBSA, a variety of EGFR structures have identically good performance in the scoring and ranking of known inhibitors, indicating that the choice of the receptor structure has little effect on the screening.

SUBMITTER: Li Y

PROVIDER: S-EPMC4749411 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

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Statistical analysis of EGFR structures' performance in virtual screening.

Li Yan Y Li Xiang X Dong Zigang Z

Journal of computer-aided molecular design 20151017 11

In this work the ability of EGFR structures to distinguish true inhibitors from decoys in docking and MM-PBSA is assessed by statistical procedures. The docking performance depends critically on the receptor conformation and bound state. The enrichment of known inhibitors is well correlated with the difference between EGFR structures rather than the bound-ligand property. The optimal structures for virtual screening can be selected based purely on the complex information. And the mixed combinati ...[more]

PMID: 26476847

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