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Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD

[Image: see text] 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...

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Autores principales: Kamenik, Anna S., Kahler, Ursula, Fuchs, Julian E., Liedl, Klaus R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2016
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980685/
https://www.ncbi.nlm.nih.gov/pubmed/27322931
http://dx.doi.org/10.1021/acs.jctc.6b00231
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author Kamenik, Anna S.
Kahler, Ursula
Fuchs, Julian E.
Liedl, Klaus R.
author_facet Kamenik, Anna S.
Kahler, Ursula
Fuchs, Julian E.
Liedl, Klaus R.
author_sort Kamenik, Anna S.
collection PubMed
description [Image: see text] 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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spelling pubmed-49806852016-08-17 Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD Kamenik, Anna S. Kahler, Ursula Fuchs, Julian E. Liedl, Klaus R. J Chem Theory Comput [Image: see text] 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. American Chemical Society 2016-06-20 2016-08-09 /pmc/articles/PMC4980685/ /pubmed/27322931 http://dx.doi.org/10.1021/acs.jctc.6b00231 Text en Copyright © 2016 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Kamenik, Anna S.
Kahler, Ursula
Fuchs, Julian E.
Liedl, Klaus R.
Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD
title Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD
title_full Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD
title_fullStr Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD
title_full_unstemmed Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD
title_short Localization of Millisecond Dynamics: Dihedral Entropy from Accelerated MD
title_sort localization of millisecond dynamics: dihedral entropy from accelerated md
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980685/
https://www.ncbi.nlm.nih.gov/pubmed/27322931
http://dx.doi.org/10.1021/acs.jctc.6b00231
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