Literature DB >> 24206334

Dynamic neutron scattering from conformational dynamics. I. Theory and Markov models.

Benjamin Lindner1, Zheng Yi, Jan-Hendrik Prinz, Jeremy C Smith, Frank Noé.   

Abstract

The dynamics of complex molecules can be directly probed by inelastic neutron scattering experiments. However, many of the underlying dynamical processes may exist on similar timescales, which makes it difficult to assign processes seen experimentally to specific structural rearrangements. Here, we show how Markov models can be used to connect structural changes observed in molecular dynamics simulation directly to the relaxation processes probed by scattering experiments. For this, a conformational dynamics theory of dynamical neutron and X-ray scattering is developed, following our previous approach for computing dynamical fingerprints of time-correlation functions [F. Noé, S. Doose, I. Daidone, M. Löllmann, J. Chodera, M. Sauer, and J. Smith, Proc. Natl. Acad. Sci. U.S.A. 108, 4822 (2011)]. Markov modeling is used to approximate the relaxation processes and timescales of the molecule via the eigenvectors and eigenvalues of a transition matrix between conformational substates. This procedure allows the establishment of a complete set of exponential decay functions and a full decomposition into the individual contributions, i.e., the contribution of every atom and dynamical process to each experimental relaxation process.

Mesh:

Substances:

Year:  2013        PMID: 24206334     DOI: 10.1063/1.4824070

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

Review 1.  Markov state models of biomolecular conformational dynamics.

Authors:  John D Chodera; Frank Noé
Journal:  Curr Opin Struct Biol       Date:  2014-05-16       Impact factor: 6.809

Review 2.  Relaxation mode analysis for molecular dynamics simulations of proteins.

Authors:  Ayori Mitsutake; Hiroshi Takano
Journal:  Biophys Rev       Date:  2018-03-15
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.