Predictions of BuchE inhibitors using support vector machine (SVM) and naive Bayesian classification

• 作 者: Jian-song FANG Ran-yao YANG Ai-lin LIU Guan-hua DU
• 机 构: Beijing Key Laboratory of Drug Targets Identification and Drug Screening
• 出 处: The 12th Meeting of the Asia Pacific Federation of Pharmacol
• 发表日期: 2013年4期
• 关键词: butyrylcholinesterases Alzheimer's disease SVM Bayesian virtual screening

Aim: Butyrylcholinesterases (BuChE, EC 3.1.1.8) is emerging as an important pharmacological target in Alzheimers disease (AD) therapy.Due to high cost and laboriousness in experimental tests, it is necessary to develop robust in silico methods to predict the activity of BuChE inhibitors.In order to distinguish BuChE inhibitors (BuChEIs) and non-inhibitors, several classification models (SVM models and naive Bayesian models) were built.