Identification of simple reaction coordinates from complex dynamics

Reaction coordinates are widely used throughout chemical physics to model and understand complex chemical transformations. We introduce a definition of the natural reaction coordinate, suitable for condensed phase and biomolecular systems, as a maximally predictive one-dimensional projection. We the...

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Published inThe Journal of chemical physics Vol. 146; no. 4; p. 044109
Main Authors McGibbon, Robert T, Husic, Brooke E, Pande, Vijay S
Format Journal Article
LanguageEnglish
Published United States 28.01.2017
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Abstract Reaction coordinates are widely used throughout chemical physics to model and understand complex chemical transformations. We introduce a definition of the natural reaction coordinate, suitable for condensed phase and biomolecular systems, as a maximally predictive one-dimensional projection. We then show that this criterion is uniquely satisfied by a dominant eigenfunction of an integral operator associated with the ensemble dynamics. We present a new sparse estimator for these eigenfunctions which can search through a large candidate pool of structural order parameters and build simple, interpretable approximations that employ only a small number of these order parameters. Example applications with a small molecule's rotational dynamics and simulations of protein conformational change and folding show that this approach can filter through statistical noise to identify simple reaction coordinates from complex dynamics.
AbstractList Reaction coordinates are widely used throughout chemical physics to model and understand complex chemical transformations. We introduce a definition of the natural reaction coordinate, suitable for condensed phase and biomolecular systems, as a maximally predictive one-dimensional projection. We then show that this criterion is uniquely satisfied by a dominant eigenfunction of an integral operator associated with the ensemble dynamics. We present a new sparse estimator for these eigenfunctions which can search through a large candidate pool of structural order parameters and build simple, interpretable approximations that employ only a small number of these order parameters. Example applications with a small molecule's rotational dynamics and simulations of protein conformational change and folding show that this approach can filter through statistical noise to identify simple reaction coordinates from complex dynamics.
Author McGibbon, Robert T
Husic, Brooke E
Pande, Vijay S
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  organization: Department of Chemistry, Stanford University, Stanford, California 94305, USA
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  givenname: Vijay S
  surname: Pande
  fullname: Pande, Vijay S
  organization: Department of Chemistry, Stanford University, Stanford, California 94305, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/28147508$$D View this record in MEDLINE/PubMed
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Snippet Reaction coordinates are widely used throughout chemical physics to model and understand complex chemical transformations. We introduce a definition of the...
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StartPage 044109
SubjectTerms Animals
Biphenyl Compounds - chemistry
Cattle
Molecular Dynamics Simulation
Protease Inhibitors - chemistry
Protease Inhibitors - pharmacology
Small Molecule Libraries - chemistry
Trypsin - metabolism
Title Identification of simple reaction coordinates from complex dynamics
URI https://www.ncbi.nlm.nih.gov/pubmed/28147508
Volume 146
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