Advanced Methods for Accessing Protein Shape-Shifting Present New Therapeutic Opportunities

被引:30
作者
Knoverek, Catherine R. [1 ]
Amarasinghe, Gaya K. [2 ]
Bowman, Gregory R. [1 ]
机构
[1] Washington Univ, Dept Biochem & Mol Biophys, Sch Med, 660 South Euclid Ave, St Louis, MO 63110 USA
[2] Washington Univ, Dept Pathol & Immunol, Sch Med, 660 South Euclid Ave, St Louis, MO 63110 USA
关键词
MARKOV STATE MODELS; ENERGY LANDSCAPE; ALLOSTERIC SITES; DYNAMICS; BINDING; SIMULATION; DISCOVERY; PREDICTION; INHIBITORS; AFFINITY;
D O I
10.1016/j.tibs.2018.11.007
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
A protein is a dynamic shape-shifter whose function is determined by the set of structures it adopts. Unfortunately, atomically detailed structures are only available for a few conformations of any given protein, and these structures have limited explanatory and predictive power. Here, we provide a brief historical perspective on protein dynamics and introduce recent advances in computational and experimental methods that are providing unprecedented access to protein shape-shifting. Next, we focus on how these tools are revealing the mechanism of allosteric communication and features like cryptic pockets; both of which present new therapeutic opportunities. A major theme is the importance of considering the relative probabilities of different structures and the control one can exert over protein function by modulating this balance.
引用
收藏
页码:351 / 364
页数:14
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