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:
10.1038/ncomms12477
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发表时间:
2016-08-26
影响因子:
16.6
通讯作者:
Barahona, M.
中科院分区:
文献类型:
--
作者:
Amor, B. R. C.;Schaub, M. T.;Yaliraki, S. N.;Barahona, M.
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.
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DOI:
10.1016/j.str.2009.06.008
发表时间:
2009-08-12
期刊:
Structure (London, England : 1993)
影响因子:
--
作者:
del Sol A;Tsai CJ;Ma B;Nussinov R
通讯作者:
Nussinov R
影响因子:
3.7
作者:
Grant, Barry J.;Lukman, Suryani;Gorfe, Alemayehu A.
通讯作者:
Gorfe, Alemayehu A.
影响因子:
3.2
作者:
Dyer, Collin M.;Dahlquist, Frederick W.
通讯作者:
Dahlquist, Frederick W.
影响因子:
5.6
作者:
Bellsolell, L;Cronet, P;Coll, M
通讯作者:
Coll, M
影响因子:
56.9
作者:
FRAUENFELDER, H;SLIGAR, SG;WOLYNES, PG
通讯作者:
WOLYNES, PG