Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method

被引:8
作者
Toropov, Andrey A. [1 ]
Toropova, Alla P. [1 ]
Raska, Ivan, Jr. [2 ,3 ]
Benfenati, Emilio [1 ]
Gini, Giuseppina [4 ]
机构
[1] Mario Negri Inst Pharmacol Res, I-20156 Milan, Italy
[2] Charles Univ Prague, Dept Endocrinol & Metab, Fac Med 1, Dept Med 3, Prague 12808 2, Czech Republic
[3] Gen Univ Hosp Prague, Prague 12808 2, Czech Republic
[4] Polytech Univ Milan, Dept Elect & Informat, I-20133 Milan, Italy
来源
CENTRAL EUROPEAN JOURNAL OF CHEMISTRY | 2013年 / 11卷 / 03期
关键词
QSAR; anti-HIV-1; activity; SMILES; Balance of correlations; CORAL software; HIV-1 PR INHIBITORS; OCTANOL/WATER PARTITION-COEFFICIENT; CORRELATION WEIGHTS; 3D QSAR; SMILES; VALIDATION; QSPR; TOXICITY; BALANCE; CARCINOGENICITY;
D O I
10.2478/s11532-012-0166-3
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The CORAL software (http://www.insilico.eu/coral/) has been examined as a tool for modeling anti-HIV-1 activity by quantitative structure - activity relationships (QSAR) for three different sets: (i) TIBO derivatives (n=82) (ii) anti-HIV-1 activity of 2-amino-6-arylsulfonylbenzonitriles and their congeners (n=64), and (iii) the measured binding affinity for fullerene-based HIV-1 PR inhibitors (n=48). A new global invariant ATOMPAIR of the molecular structure which can be calculated with the simplified molecular input line entry system (SMILES) was studied. The ATOMPAIR is an indicator of the joint presence of pairs of chemical elements (F, Cl, Br, N, O, S, and P) and three types of bonds (double covalent bond, triple covalent bond, and stereo chemical bond). Six random splits into sub-training, calibration, and test set were examined for each set. For the three aforementioned sets, the use of ATOMPAIR in the modeling process improves the predictive potential of the models for six random splits.
引用
收藏
页码:371 / 380
页数:10
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