Ontology highlight
ABSTRACT:
SUBMITTER: Zhao M
PROVIDER: S-EPMC5467385 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
BioMed research international 20170529
Epidermal growth factor receptor (EGFR) is an important target for cancer therapy. In this study, EGFR inhibitors were investigated to build a two-dimensional quantitative structure-activity relationship (2D-QSAR) model and a three-dimensional quantitative structure-activity relationship (3D-QSAR) model. In the 2D-QSAR model, the support vector machine (SVM) classifier combined with the feature selection method was applied to predict whether a compound was an EGFR inhibitor. As a result, the pre ...[more]