From protein folding to protein function and biomolecular binding by energy landscape theory

被引:60
|
作者
Schug, Alexander [1 ,2 ]
Onuchic, Jose N. [1 ]
机构
[1] Univ Calif San Diego, Ctr Theoret Biol Phys, San Diego, CA 92103 USA
[2] Umea Univ, Dept Chem, Umea, Sweden
关键词
TRANSITION-STATES; DRUG DISCOVERY; DYNAMICS; MECHANISM; INFORMATION; COMPLEXES; INTERPLAY; TOPOLOGY; CONTACTS; LESSONS;
D O I
10.1016/j.coph.2010.09.012
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Protein folding and function are inherently linked sharing a joined funneled energy landscape In this theoretical framework, the integration of simulations, structural information, and sequence data has led to quantitatively explore, understand and predict biomolecular binding and recognition key processes in pharmacology, as a natural extension of the selective self-binding found in protein folding Computer simulations based on these principles have made valuable contributions to understanding protein and RNA folding protein-protein interactions, and protein-metabolite/RNA-metabolite interactions
引用
收藏
页码:709 / 714
页数:6
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