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10.1021/acs.jcim.1c00306

http://scihub22266oqcxt.onion/10.1021/acs.jcim.1c00306
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34133162!ä!34133162

suck abstract from ncbi


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pmid34133162      J+Chem+Inf+Model 2021 ; ä (ä): ä
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  • Interactive Interface for Graph-Based Analyses of Dynamic H-Bond Networks: Application to Spike Protein S #MMPMID34133162
  • Siemers M; Bondar AN
  • J Chem Inf Model 2021[Jun]; ä (ä): ä PMID34133162show ga
  • Dynamic hydrogen-bond networks are key determinants of protein conformational dynamics. In the case of macromolecular protein complexes, which can have a large number of hydrogen bonds giving rise to extensive hydrogen-bond networks, efficient algorithms are required to analyze interactions that could be important for the dynamics and biological function of the complex. We present here a highly efficient, standalone interface designed for analyses of dynamical hydrogen-bond networks of biomolecules and macromolecular complexes. To facilitate a comprehensive description of protein dynamics, the interface includes analyses of hydrophobic interactions. We illustrate the usefulness and workflow of the interface by dissecting the dynamics of the ectodomain of SARS-CoV-2 protein S in its closed conformation. We find that protein S contains numerous local clusters of dynamic hydrogen bonds and identify hydrogen bonds that are sampled persistently. The receptor binding domain of the spike protein hosts only a handful of persistent hydrogen-bond clusters, suggesting structural plasticity. Our data analysis interface is released here for open use.
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