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Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD
Author(s) -
Anna S. Kamenik,
Ursula Kahler,
Julian E. Fuchs,
Klaus R. Liedl
Publication year - 2016
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/acs.jctc.6b00231
Subject(s) - dihedral angle , millisecond , molecular dynamics , protein dynamics , entropy (arrow of time) , computer science , dipeptide , dynamics (music) , principle of maximum entropy , chemistry , biological system , statistical physics , computational chemistry , physics , molecule , artificial intelligence , peptide , thermodynamics , hydrogen bond , biochemistry , organic chemistry , astronomy , biology , acoustics
Here, we demonstrate a method to capture local dynamics on a time scale 3 orders of magnitude beyond state-of-the-art simulation approaches. We apply accelerated molecular dynamics simulations for conformational sampling and extract reweighted backbone dihedral distributions. Local dynamics are characterized by torsional probabilities, resulting in residue-wise dihedral entropies. Our approach is successfully validated for three different protein systems of increasing size: alanine dipeptide, bovine pancreatic trypsin inhibitor (BPTI), and the major birch pollen allergen Bet v 1a. We demonstrate excellent agreement of flexibility profiles with both large-scale computer simulations and NMR experiments. Thus, our method provides efficient access to local protein dynamics on extended time scales of high biological relevance.

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