Literature DB >> 21456654

Determination of reaction coordinates via locally scaled diffusion map.

Mary A Rohrdanz1, Wenwei Zheng, Mauro Maggioni, Cecilia Clementi.   

Abstract

We present a multiscale method for the determination of collective reaction coordinates for macromolecular dynamics based on two recently developed mathematical techniques: diffusion map and the determination of local intrinsic dimensionality of large datasets. Our method accounts for the local variation of molecular configuration space, and the resulting global coordinates are correlated with the time scales of the molecular motion. To illustrate the approach, we present results for two model systems: all-atom alanine dipeptide and coarse-grained src homology 3 protein domain. We provide clear physical interpretation for the emerging coordinates and use them to calculate transition rates. The technique is general enough to be applied to any system for which a Boltzmann-sampled set of molecular configurations is available.

Entities:  

Year:  2011        PMID: 21456654     DOI: 10.1063/1.3569857

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


  44 in total

1.  Using sketch-map coordinates to analyze and bias molecular dynamics simulations.

Authors:  Gareth A Tribello; Michele Ceriotti; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-16       Impact factor: 11.205

Review 2.  Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems.

Authors:  Paraskevi Gkeka; Gabriel Stoltz; Amir Barati Farimani; Zineb Belkacemi; Michele Ceriotti; John D Chodera; Aaron R Dinner; Andrew L Ferguson; Jean-Bernard Maillet; Hervé Minoux; Christine Peter; Fabio Pietrucci; Ana Silveira; Alexandre Tkatchenko; Zofia Trstanova; Rafal Wiewiora; Tony Lelièvre
Journal:  J Chem Theory Comput       Date:  2020-07-16       Impact factor: 6.006

3.  Towards the prediction of order parameters from molecular dynamics simulations in proteins.

Authors:  Juan R Perilla; Thomas B Woolf
Journal:  J Chem Phys       Date:  2012-04-28       Impact factor: 3.488

4.  Molecular recognition of DNA by ligands: roughness and complexity of the free energy profile.

Authors:  Wenwei Zheng; Attilio Vittorio Vargiu; Attlio Vittorio Vargiu; Mary A Rohrdanz; Paolo Carloni; Cecilia Clementi
Journal:  J Chem Phys       Date:  2013-10-14       Impact factor: 3.488

5.  From the Cover: Simplifying the representation of complex free-energy landscapes using sketch-map.

Authors:  Michele Ceriotti; Gareth A Tribello; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-05       Impact factor: 11.205

6.  The social network (of protein conformations).

Authors:  John D Chodera; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-29       Impact factor: 11.205

7.  Capturing transition paths and transition states for conformational rearrangements in the ribosome.

Authors:  Jeffrey K Noel; Jorge Chahine; Vitor B P Leite; Paul Charles Whitford
Journal:  Biophys J       Date:  2014-12-16       Impact factor: 4.033

8.  Variational cross-validation of slow dynamical modes in molecular kinetics.

Authors:  Robert T McGibbon; Vijay S Pande
Journal:  J Chem Phys       Date:  2015-03-28       Impact factor: 3.488

9.  Locating landmarks on high-dimensional free energy surfaces.

Authors:  Ming Chen; Tang-Qing Yu; Mark E Tuckerman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-03       Impact factor: 11.205

10.  Dynamic graphical models of molecular kinetics.

Authors:  Simon Olsson; Frank Noé
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-08       Impact factor: 11.205

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