Modeling the effect of pathogenic mutations on the conformational landscape of protein kinases

被引:14
|
作者
Saladino, Giorgio [1 ]
Gervasio, Francesco Luigi [1 ,2 ]
机构
[1] Univ London Univ Coll, Dept Chem, 20 Gordon St, London WC1E 6BT, England
[2] UCL, Res Inst Struct & Mol Biol, Mortimer St, London WC1E 6BT, England
基金
英国工程与自然科学研究理事会;
关键词
FREE-ENERGY LANDSCAPE; MOLECULAR-DYNAMICS; ONCOGENIC MUTATIONS; COMPUTATIONAL MICROSCOPE; ACTIVATION; INSIGHTS; FLEXIBILITY; SIMULATION; ALGORITHM; MECHANISM;
D O I
10.1016/j.sbi.2016.01.005
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
Most proteins assume different conformations to perform their cellular functions. This conformational dynamics is physiologically regulated by binding events and post translational modifications, but can also be affected by pathogenic mutations. Atomistic molecular dynamics simulations complemented by enhanced sampling approaches are increasingly used to probe the effect of mutations on the conformational dynamics and on the underlying conformational free energy landscape of proteins. In this short review we discuss recent successful examples of simulations used to understand the molecular mechanism underlying the deregulation of physiological conformational dynamics due to non-synonymous single point mutations. Our examples are mostly drawn from the protein kinase family.
引用
收藏
页码:108 / 114
页数:7
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