title: QSAR analysis of tyrosine kinase inhibitor using modified ant colony optimization and multiple linear regression.
abstract: Quantitative structure-activity relationship (QSAR) models of inhibiting action of some analogues of 4-(3-bromoanilino)-6,7-dimethoxyquinazoline on epidermal growth factor receptor tyrosine kinase were constructed using modified ant colony optimization (ACO) method. As a comparison to this method, the evolutionary algorithm (EA) was also tested. It has been demonstrated that the modified ACO is a useful tool for variable selection comparable to EA. In the selected descriptors, electronic descriptor sigma(Y)(-) is the most important descriptor in predicting EGFR inhibitory activity. Electron-donating groups such as Y-substituents enhance the activity as evident by negative sigma(Y)(-). In addition, for quinazoline substituents, nitro group has a large deactivating effect.
authors.affiliation: Chemistry Department, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Wei-min
authors.initials: WM
authors.lastname: Shi
authors.forename: Qi
authors.initials: Q
authors.lastname: Shen
authors.forename: Wei
authors.initials: W
authors.lastname: Kong
authors.forename: Bao-xian
authors.initials: BX
authors.lastname: Ye
mesh_terms: D000465:Algorithms; D000814:Aniline Compounds / Q000737:chemistry*; D066246:ErbB Receptors / Q000037:antagonists & inhibitors* / Q000737:chemistry*; D016014:Linear Models; D021281:Quantitative Structure-Activity Relationship; D011799:Quinazolines / Q000737:chemistry*
chemical_list: D000814:Aniline Compounds; D011799:Quinazolines; D066246:ErbB Receptors