Docking, virtual high throughput screening and in silico fragment-based drug design

被引:118
|
作者
Zoete, Vincent [1 ]
Grosdidier, Aurelien [1 ]
Michielin, Olivier [1 ,2 ,3 ]
机构
[1] Swiss Inst Bioinformat, Mol Modeling Grp, Lausanne, Switzerland
[2] Ludwig Inst Canc Res, Lausanne Branch, CH-1066 Epalinges, Switzerland
[3] Multidisciplinary Oncol Ctr CePO, Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
docking; virtual high-throughput screening; fragment-based drug design; DE-NOVO DESIGN; PROTEIN-LIGAND DOCKING; RAPID LEAD DISCOVERY; GENETIC ALGORITHM; SCORING FUNCTION; MOLECULAR ARCHITECTURES; COMBINATORIAL CHEMISTRY; AUTOMATED DOCKING; ACCURATE DOCKING; CHEMICAL SPACE;
D O I
10.1111/j.1582-4934.2008.00665.x
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The drug discovery process has been profoundly changed recently by the adoption of computational methods helping the design of new drug candidates more rapidly and at lower costs. In silico drug design consists of a collection of tools helping to make rational decisions at the different steps of the drug discovery process, such as the identification of a biomolecular target of therapeutical interest, the selection or the design of new lead compounds and their modification to obtain better affinities, as well as pharmacokinetic and pharmacodynamic properties. Among the different tools available, a particular emphasis is placed in this review on molecular docking, virtual high-throughput screening and fragment-based ligand design.
引用
收藏
页码:238 / 248
页数:11
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