Optimal reaction coordinates
The dynamic behavior of complex systems with many degrees of freedom is often analyzed by projection onto one or a few reaction coordinates. The dynamics is then described in a simple and intuitive way as diffusion on the associated free‐energy profile. In order to use such a picture for a quantitat...
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Veröffentlicht in: | Wiley interdisciplinary reviews. Computational molecular science 2016-11, Vol.6 (6), p.748-763 |
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description | The dynamic behavior of complex systems with many degrees of freedom is often analyzed by projection onto one or a few reaction coordinates. The dynamics is then described in a simple and intuitive way as diffusion on the associated free‐energy profile. In order to use such a picture for a quantitative description of the dynamics one needs to select the coordinate in an optimal way so as to minimize non‐Markovian effects due to the projection. For equilibrium dynamics between two boundary states (e.g., a reaction), the optimal coordinate is known as the committor or the pfold coordinate in protein folding studies. While the dynamics projected on the committor is not Markovian, many important quantities of the original multidimensional dynamics on an arbitrarily complex landscape can be computed exactly. In this study, we summarize the derivation of this result, discuss different approaches to determine and validate the committor coordinate, and present three illustrative applications: protein folding, the game of chess, and patient recovery dynamics after kidney transplant. WIREs Comput Mol Sci 2016, 6:748–763. doi: 10.1002/wcms.1276
This article is categorized under:
Structure and Mechanism > Computational Biochemistry and Biophysics
Theoretical and Physical Chemistry > Reaction Dynamics and Kinetics
Theoretical and Physical Chemistry > Statistical Mechanics |
doi_str_mv | 10.1002/wcms.1276 |
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This article is categorized under:
Structure and Mechanism > Computational Biochemistry and Biophysics
Theoretical and Physical Chemistry > Reaction Dynamics and Kinetics
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This article is categorized under:
Structure and Mechanism > Computational Biochemistry and Biophysics
Theoretical and Physical Chemistry > Reaction Dynamics and Kinetics
Theoretical and Physical Chemistry > Statistical Mechanics</description><subject>Biophysics</subject><subject>Chess</subject><subject>Complex systems</subject><subject>Computer applications</subject><subject>Dye dispersion</subject><subject>Dynamics</subject><subject>Folding</subject><subject>Kidney transplantation</subject><subject>Kinetics</subject><subject>Markov processes</subject><subject>Mechanics</subject><subject>Physical chemistry</subject><subject>Protein folding</subject><subject>Proteins</subject><subject>Reaction kinetics</subject><subject>Statistical mechanics</subject><issn>1759-0876</issn><issn>1759-0884</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kL1PAkEQxTdGEwlS2FuQWFkczM5-XmmIghHFoIZys7fsJYfA4e4R5L_3yBE6nWam-L15eY-Qawo9CoD9nVvFHkUlz0iLKpEmoDU_P91KXpJOjAuoh6cUGW2Rm8mmKlZ22Q3euqoo111XlmFerG3l4xW5yO0y-s5xt8nn48PHYJSMJ8Onwf04cVxymQjOMjFHZlNGJdUAeaYdnyNqxUH7DCR6l2lLEXPgWa6lcoJLmnOvncoca5Pb5u8mlN9bHyuzKLdhXVsaBNCIAoT6j6Ia09qKprqm7hrKhTLG4HOzCXXAsDcUzKElc2jJHFqq2X7D7oql3_8Nmtng5f2oSBpFESv_c1LY8GWkYkqY2evQzJR8nsq3qRmxXwkVdTg</recordid><startdate>201611</startdate><enddate>201611</enddate><creator>Banushkina, Polina V.</creator><creator>Krivov, Sergei V.</creator><general>Wiley Periodicals, Inc</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>JQ2</scope><scope>L.G</scope></search><sort><creationdate>201611</creationdate><title>Optimal reaction coordinates</title><author>Banushkina, Polina V. ; Krivov, Sergei V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4646-543b5d23a93161800fb8c4d2287408eb062ecb8a122f04bf867c5461f4e8c7bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Biophysics</topic><topic>Chess</topic><topic>Complex systems</topic><topic>Computer applications</topic><topic>Dye dispersion</topic><topic>Dynamics</topic><topic>Folding</topic><topic>Kidney transplantation</topic><topic>Kinetics</topic><topic>Markov processes</topic><topic>Mechanics</topic><topic>Physical chemistry</topic><topic>Protein folding</topic><topic>Proteins</topic><topic>Reaction kinetics</topic><topic>Statistical mechanics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Banushkina, Polina V.</creatorcontrib><creatorcontrib>Krivov, Sergei V.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>ProQuest Computer Science Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Wiley interdisciplinary reviews. Computational molecular science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Banushkina, Polina V.</au><au>Krivov, Sergei V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal reaction coordinates</atitle><jtitle>Wiley interdisciplinary reviews. Computational molecular science</jtitle><addtitle>WIREs Comput Mol Sci</addtitle><date>2016-11</date><risdate>2016</risdate><volume>6</volume><issue>6</issue><spage>748</spage><epage>763</epage><pages>748-763</pages><issn>1759-0876</issn><eissn>1759-0884</eissn><abstract>The dynamic behavior of complex systems with many degrees of freedom is often analyzed by projection onto one or a few reaction coordinates. The dynamics is then described in a simple and intuitive way as diffusion on the associated free‐energy profile. In order to use such a picture for a quantitative description of the dynamics one needs to select the coordinate in an optimal way so as to minimize non‐Markovian effects due to the projection. For equilibrium dynamics between two boundary states (e.g., a reaction), the optimal coordinate is known as the committor or the pfold coordinate in protein folding studies. While the dynamics projected on the committor is not Markovian, many important quantities of the original multidimensional dynamics on an arbitrarily complex landscape can be computed exactly. In this study, we summarize the derivation of this result, discuss different approaches to determine and validate the committor coordinate, and present three illustrative applications: protein folding, the game of chess, and patient recovery dynamics after kidney transplant. WIREs Comput Mol Sci 2016, 6:748–763. doi: 10.1002/wcms.1276
This article is categorized under:
Structure and Mechanism > Computational Biochemistry and Biophysics
Theoretical and Physical Chemistry > Reaction Dynamics and Kinetics
Theoretical and Physical Chemistry > Statistical Mechanics</abstract><cop>Hoboken, USA</cop><pub>Wiley Periodicals, Inc</pub><doi>10.1002/wcms.1276</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biophysics Chess Complex systems Computer applications Dye dispersion Dynamics Folding Kidney transplantation Kinetics Markov processes Mechanics Physical chemistry Protein folding Proteins Reaction kinetics Statistical mechanics |
title | Optimal reaction coordinates |
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