Timing Correlations in Proteins Predict Functional Modules and Dynamic Allostery

被引:13
|
作者
Lin, Milo M. [1 ,2 ,3 ]
机构
[1] Univ Texas SW Med Ctr Dallas, Green Ctr Mol Computat & Syst Biol, Dallas, TX 75390 USA
[2] Univ Texas SW Med Ctr Dallas, Dept Biophy, Dallas, TX 75390 USA
[3] Univ Calif Berkeley, Pitzer Ctr Theoret Chem, Berkeley, CA 94720 USA
关键词
MOLECULAR-DYNAMICS; PLAUSIBLE MODEL; SIMULATIONS; TRANSITIONS; ACTIVATION; NETWORKS; BINDING; FLUCTUATIONS; RESOLUTION; ENSEMBLE;
D O I
10.1021/jacs.5b08814
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
How protein structure encodes functionality is not fully understood For example, long-range intraprotein communication can occur without measurable conformational change and is often not captured by existing structural correlation functions. It is shown here that important functional information is encoded in the timing of protein motions, rather than motion itself. I introduce the conditional activity function to quantify such tuning correlations among the degrees of freedom within proteins. For three proteins, the conditional activities between side-chain dihedral angles were computed using the output of microseconds-long atomistic simulations. The new approach demonstrates that a sparse fraction of side-chain pairs are dynamically correlated Over long distances (Tanning protein lengths up to 7 nm), in sharp contrast to structural Correlations, which are short-ranged (<1 nm). Regions of high self- and inter-side-chain dynamical correlations" are found, corresponding to experimentally determined functional modules and allosteric connections, respectively.
引用
收藏
页码:5036 / 5043
页数:8
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