Ant colony optimization as a feature selection method in the QSAR modeling of anti-HIV-1 activities of 3-(3,5-dimethylbenzyl)uracil derivatives using MLR, PLS and SVM regressions期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Ant colony optimization as a feature selection method in the QSAR modeling of anti-HIV-1 activities of 3-(3,5-dimethylbenzyl)uracil derivatives using MLR, PLS and SVM regressions

Authors:	Mohammad Goodarzi Matheus P Freitas Richard Jensen

Affiliation:	^aInstituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), UNLP, CCT La Plata-CONICET, Diag. 113 y 64, C.C. 16, Suc.4, 1900, La Plata, Argentina;^bDepartamento de Química, Universidade Federal de Lavras, CP 3037, 37200-000, Lavras, MG, Brazil;^cDepartment of Computer Science, The University of Wales, Aberystwyth, UK

Abstract:

Keywords:	QSAR Anti-HIV-1 activities 3-(3 5-Dimethylbenzyl)uracil derivatives Ant colony optimization Linear and nonlinear regression methods
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