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 in | The Journal of chemical physics Vol. 146; no. 4; p. 044109 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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. |
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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 |
Author_xml | – sequence: 1 givenname: Robert T orcidid: 000000033337954X surname: McGibbon fullname: McGibbon, Robert T organization: Department of Chemistry, Stanford University, Stanford, California 94305, USA – sequence: 2 givenname: Brooke E orcidid: 0000000280203750 surname: Husic fullname: Husic, Brooke E organization: Department of Chemistry, Stanford University, Stanford, California 94305, USA – sequence: 3 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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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 |
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