Identifying HER2 inhibitors from natural products database.

ABSTRACT: The relationship between abnormal HER2 expression and cancer is important in cancer therapeutics. Formation and spread of cancer cells may be restricted by inhibiting HER2. We conducted ligand-based and structure-based studies to assess the potency of natural compounds as potential HER2 inhibitors. Multiple linear regression (MLR) and support vector machine (SVM) models were constructed to predict biological activities of natural compounds, and molecular dynamics (MD) was used to assess their stability with HER2 under a dynamic environment. Predicted bioactivities of the natural compounds ranged from 6.014-9.077 using MLR (r(2) = 0.7954) and 5.122-6.950 using SVM (r(2) = 0.8620). Both models were in agreement and suggest bioactivity based on candidate structure. Conformation changes caused

SUBMITTER: Yang SC 

PROVIDER: S-EPMC3236219 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature