期刊
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
卷 75, 期 -, 页码 11-20出版社
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.ejmech.2014.01.019
关键词
Akt1 inhibitors; Molecular docking; Support vector regression (SVR); Synthesis; Antiproliferative activity
资金
- National Natural Science Foundation of China [81001359]
- Medical Scientific Research Foundation of Zhejiang Province [2010KYA061]
- Zhejiang Provincial Natural Science Foundation of China [LY13H300002]
- Program for Zhejiang Leading Team of ST Innovation
A set of forty-seven Akt1 inhibitors was used for the development of molecular docking based QSAR model by using nonlinear regression. The integration of docking scores, key interaction profiles and molecular descriptors remarkably improved the accuracy of the QSAR models, providing reasonable statistical parameters (R-train(2) = 0.948, R-test(2) = 0.907 and Q(cv)(2) = 0.794). The established MD-SVR model based structural modification of new 4-amino-pyrimidine derivatives was further performed, and six compounds 56a,b and 60a-d with good prediction activities were synthesized and biologically evaluated. All of these compounds exhibited promising Akt1 inhibitory and antiproliferative activities, suggesting the reliability and good application value of the established MD-SVR model in the development of Akt1 inhibitors. (C) 2014 Elsevier Masson SAS. All rights reserved.
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