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2016 ; 578
(ä): 429-47
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Detecting Allosteric Networks Using Molecular Dynamics Simulation
#MMPMID27497176
Bowerman S
; Wereszczynski J
Methods Enzymol
2016[]; 578
(ä): 429-47
PMID27497176
show ga
Allosteric networks allow enzymes to transmit information and regulate their
catalytic activities over vast distances. In principle, molecular dynamics (MD)
simulations can be used to reveal the mechanisms that underlie this phenomenon;
in practice, it can be difficult to discern allosteric signals from MD
trajectories. Here, we describe how MD simulations can be analyzed to reveal
correlated motions and allosteric networks, and provide an example of their use
on the coagulation enzyme thrombin. Methods are discussed for calculating
residue-pair correlations from atomic fluctuations and mutual information, which
can be combined with contact information to identify allosteric networks and to
dynamically cluster a system into highly correlated communities. In the case of
thrombin, these methods show that binding of the antagonist hirugen significantly
alters the enzyme's correlation landscape through a series of pathways between
Exosite I and the catalytic core. Results suggest that hirugen binding curtails
dynamic diversity and enforces stricter venues of influence, thus reducing the
accessibility of thrombin to other molecules.