Calculation of protein-ligand binding affinities

被引:737
作者
Gilson, Michael K. [1 ]
Zhou, Huan-Xiang
机构
[1] Univ Maryland, Inst Biotechnol, Ctr Adv Res Biotechnol, Rockville, MD 20850 USA
[2] Florida State Univ, Dept Phys, Tallahassee, FL 32306 USA
[3] Florida State Univ, Inst Mol Biophys, Tallahassee, FL 32306 USA
[4] Florida State Univ, Sch Computat Sci, Tallahassee, FL 32306 USA
来源
ANNUAL REVIEW OF BIOPHYSICS AND BIOMOLECULAR STRUCTURE | 2007年 / 36卷
关键词
computation; drug-design; entropy; free energy; modeling;
D O I
10.1146/annurev.biophys.36.040306.132550
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
Accurate methods of computing the affinity of a small molecule with a protein are needed to speed the discovery of new medications and biological probes. This paper reviews physics-based models of binding, beginning with a summary of the changes in potential energy, solvation energy, and configurational entropy that influence affinity, and a theoretical overview to frame the discussion of specific computational approaches. Important advances are reported in modeling protein-ligand energetics, such as the incorporation of electronic polarization and the use of quantum mechanical methods. Recent calculations suggest that changes in configurational entropy strongly oppose binding and must be included if accurate affinities are to be obtained. The linear interaction energy (LIE) and molecular mechanics Poisson-Boltzmarm surface area (A/IM-PBSA) methods are analyzed, as are free energy pathway methods, which show promise and may be ready for more extensive testing. Ultimately, major improvements in modeling accuracy will likely require advances on multiple fronts, as well as continued validation against experiment.
引用
收藏
页码:21 / 42
页数:22
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