Binding of Small-Molecule Ligands to Proteins: "What You See" Is Not Always "What You Get"

被引:452
作者
Mobley, David L. [1 ]
Dill, Ken A. [2 ]
机构
[1] Univ New Orleans, Dept Chem, New Orleans, LA 70148 USA
[2] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94158 USA
基金
美国国家卫生研究院;
关键词
STRUCTURE-BASED DESIGN; CONFORMATIONAL FREE-ENERGY; SIDE-CHAIN FLEXIBILITY; P38 MAP KINASE; DRUG DESIGN; CONTINUUM SOLVENT; ACTIVE-SITE; T4; LYSOZYME; DIHYDROFOLATE-REDUCTASE; DYNAMICS SIMULATIONS;
D O I
10.1016/j.str.2009.02.010
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We review insights from computational studies of affinities of ligands binding to proteins. The power of structural biology is in translating knowledge of protein structures into insights about their forces, binding, and mechanisms. However, the complementary power of computer modeling is in showing "the rest of the story" (i.e., how motions and ensembles and alternative conformers and the entropies and forces that cannot be seen in single molecular structures also contribute to binding affinities). Upon binding to a protein, a ligand can bind in multiple orientations; the protein or ligand can be deformed by the binding event; waters, ions, or cofactors can have unexpected involvement; and conformational or solvation entropies can sometimes play large and otherwise unpredictable roles. Computer modeling is helping to elucidate these factors.
引用
收藏
页码:489 / 498
页数:10
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