QSAR models for 1,2,4-benzotriazines as Src inhibitors based on Monte Carlo method

被引:0
作者
Andrey A. Toropov
Jovana B. Veselinović
Aleksandar M. Veselinović
Filip N. Miljković
Alla P. Toropova
机构
[1] IRCCS,Istituto di Ricerche Farmacologiche Mario Negri
[2] University of Niš,Department of Chemistry, Faculty of Medicine
来源
Medicinal Chemistry Research | 2015年 / 24卷
关键词
QSAR; SMILES; Benzotriazines; CORAL software; Monte Carlo method;
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学科分类号
摘要
A series of 53 1,2,4-benzotriazines as inhibitors of the sarcoma family of protein tyrosine kinases have been studied. The Monte Carlo method has been used as a tool to build up the quantitative structure–activity relationships for appropriate inhibition activity. The QSAR models were calculated with the representation of the molecular structure by the simplified molecular input-line entry system. Three various splits into training and test sets have been examined. The statistical quality of all build models is very good. The best calculated model had following statistical parameters: r2 = 0.9843, q2 = 0.9831 for the training set and r2 = 0.9488, q2 = 0.9300 for the test set. The structural indicators (alerts) for the increase and decrease in the inhibition activity have been defined. The computer-aided design of new potential sarcoma inhibitor derivatives has been presented by using defined structural alerts.
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页码:283 / 290
页数:7
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