裴剑锋; 周家驹
Source Publication化学学报
AbstractImproved Genetic Algorithm (IGA), which has a higher efficiency than the conventional ones, has been used for FLARM (Flexible Atom Receptor Model) algorithm. All the atoms in a FLARM receptor model are spacially moveable in the process of genetic evolving. This can avoid the bias of the initial coordinate setting. Void atom is specialty favored (a chance of 50%) in the atom selection to obtain open receptors model that allow large gaps. An open model may provide a better simulation of the real receptor and may rationally correspond to the pharmacophore model. Two data sets (one is the binding affinity to corticosteroid binding globulin of 21 steroids, and another is the anti-HIV-1 activities of 38 1,1,3-trioxo-2H,4H-thieno3,4-e 1, 2,4 thiadiazine derivatives) were investigated by using FLARM. The resulted receptor models showed high prediction ability (q(2) are 0.782 and 0.72 for die predicting sets of the two systems, respectively) that can be used to predict the activity of new drugs. Moreover, The explicit atom models can help to understand the mechanism of the interaction between ligands and receptors and even to preliminarily predict the active sites of the real receptors.
Document Type期刊论文
First Author Affilication中国科学院过程工程研究所
Recommended Citation
GB/T 7714
裴剑锋,周家驹. 柔性原子受性模型flarm[J]. 化学学报,2002,60(6):973.
APA 裴剑锋,&周家驹.(2002).柔性原子受性模型flarm.化学学报,60(6),973.
MLA 裴剑锋,et al."柔性原子受性模型flarm".化学学报 60.6(2002):973.
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