Modeling Anti-Allergic Natural Compounds by Molecular Topology

被引:15
作者
Garcia-Domenech, Ramon [1 ]
Zanni, Riccardo [1 ]
Galvez-Llompart, Maria [1 ]
de Julian-Ortiz, J. Vicente [1 ]
机构
[1] Univ Valencia, Fac Pharm, Dept Phys Chem, Mol Connect & Drug Design Res Unit, Burjassot 46100, Valencia, Spain
关键词
Anti-allergic drugs; artificial neural networks; linear discriminant analysis; molecular topology; natural products; pattern recognition; QSAR; HISTAMINE-RELEASE; DRUGS; VALIDATION; CHEMISTRY;
D O I
10.2174/1386207311316080005
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Molecular topology has been applied to the search of QSAR models able to identify the anti-allergic activity of a wide group of heterogeneous compounds. Through the linear discriminant analysis and artificial neural networks, correct classification percentages above 85% for both the training set and the test set have been obtained. After carrying out a virtual screening with a natural product library, about thirty compounds with theoretical anti-allergic activity have been selected. Among them, hesperidin, naringin, salinomycin, sorbitol, curcumol, myricitrin, diosmin and kinetin stand out. Some of these compounds have already been referenced as having anti-allergic activity.
引用
收藏
页码:628 / 635
页数:8
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