Prediction of allosteric sites and mediating interactions through bond-to-bond propensities

Prediction of allosteric sites and mediating interactions through bond-to-bond propensities
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DOI:
10.1101/056275
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发表时间:
2016-05
影响因子:
16.6
通讯作者:
B. Amor;Michael T. Schaub;S. Yaliraki;Mauricio Barahona
B. Amor;Michael T. Schaub;S. Yaliraki;Mauricio Barahona
中科院分区:
综合性期刊1区
文献类型:
--
作者:
B. Amor;Michael T. Schaub;S. Yaliraki;Mauricio Barahona

文献摘要

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Allostery is a fundamental mechanism of biological regulation, in which binding of a molecule at a distant location affects the active site of a protein. Allosteric sites provide targets to fine-tune protein activity, yet we lack computational methodologies to predict them. Here we present an efficient graph-theoretical framework to reveal allosteric interactions (atoms and communication pathways strongly coupled to the active site) without a priori information of their location. Using an atomistic graph with energy-weighted covalent and weak bonds, we define a bond-to-bond propensity quantifying the non-local effect of instantaneous bond fluctuations propagating through the protein. Significant interactions are then identified using quantile regression. We exemplify our method with three biologically important proteins: caspase-1, CheY, and h-Ras, correctly predicting key allosteric interactions, whose significance is additionally confirmed against a reference set of 100 proteins. The almost-linear scaling of our method renders it suitable for high-throughput searches for candidate allosteric sites. Allostery is a key molecular mechanism underpinning control and modulation in a variety of cellular processes. Here, the authors present a method that can be used to predict allosteric sites and the mediating interactions that connect them to the active site of the protein.