Refining Collective Coordinates and Improving Free Energy Representation in Variational Enhanced Sampling
Collective variables are used often in many enhanced sampling methods, and their choice is a crucial factor in determining sampling efficiency. However, at times, searching for good collective variables can be challenging. In a recent paper, we combined time-lagged independent component analysis wit...
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Veröffentlicht in: | Journal of chemical theory and computation 2018-06, Vol.14 (6), p.2889-2894 |
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description | Collective variables are used often in many enhanced sampling methods, and their choice is a crucial factor in determining sampling efficiency. However, at times, searching for good collective variables can be challenging. In a recent paper, we combined time-lagged independent component analysis with well-tempered metadynamics in order to obtain improved collective variables from metadynamics runs that use lower quality collective variables [McCarty, J.; Parrinello, M. J. Chem. Phys. 2017, 147, 204109 ]. In this work, we extend these ideas to variationally enhanced sampling. This leads to an efficient scheme that is able to make use of the many advantages of the variational scheme. We apply the method to alanine-3 in water. From an alanine-3 variationally enhanced sampling trajectory in which all the six dihedral angles are biased, we extract much better collective variables able to describe in exquisite detail the protein complex free energy surface in a low dimensional representation. The success of this investigation is helped by a more accurate way of calculating the correlation functions needed in the time-lagged independent component analysis and from the introduction of a new basis set to describe the dihedral angles arrangement. |
doi_str_mv | 10.1021/acs.jctc.8b00231 |
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However, at times, searching for good collective variables can be challenging. In a recent paper, we combined time-lagged independent component analysis with well-tempered metadynamics in order to obtain improved collective variables from metadynamics runs that use lower quality collective variables [McCarty, J.; Parrinello, M. J. Chem. Phys. 2017, 147, 204109 ]. In this work, we extend these ideas to variationally enhanced sampling. This leads to an efficient scheme that is able to make use of the many advantages of the variational scheme. We apply the method to alanine-3 in water. From an alanine-3 variationally enhanced sampling trajectory in which all the six dihedral angles are biased, we extract much better collective variables able to describe in exquisite detail the protein complex free energy surface in a low dimensional representation. The success of this investigation is helped by a more accurate way of calculating the correlation functions needed in the time-lagged independent component analysis and from the introduction of a new basis set to describe the dihedral angles arrangement.</description><identifier>ISSN: 1549-9618</identifier><identifier>EISSN: 1549-9626</identifier><identifier>DOI: 10.1021/acs.jctc.8b00231</identifier><identifier>PMID: 29715017</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Alanine ; Free energy ; Independent component analysis ; Mathematical analysis ; Proteins ; Representations ; Sampling methods</subject><ispartof>Journal of chemical theory and computation, 2018-06, Vol.14 (6), p.2889-2894</ispartof><rights>Copyright American Chemical Society Jun 12, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a364t-2a90c527af109df7a8c7ec1f359e0ddbbbfa255958416c90fe049bba043e4c723</citedby><cites>FETCH-LOGICAL-a364t-2a90c527af109df7a8c7ec1f359e0ddbbbfa255958416c90fe049bba043e4c723</cites><orcidid>0000-0002-5599-0975</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.jctc.8b00231$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.jctc.8b00231$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29715017$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Yi Isaac</creatorcontrib><creatorcontrib>Parrinello, Michele</creatorcontrib><title>Refining Collective Coordinates and Improving Free Energy Representation in Variational Enhanced Sampling</title><title>Journal of chemical theory and computation</title><addtitle>J. Chem. Theory Comput</addtitle><description>Collective variables are used often in many enhanced sampling methods, and their choice is a crucial factor in determining sampling efficiency. However, at times, searching for good collective variables can be challenging. In a recent paper, we combined time-lagged independent component analysis with well-tempered metadynamics in order to obtain improved collective variables from metadynamics runs that use lower quality collective variables [McCarty, J.; Parrinello, M. J. Chem. Phys. 2017, 147, 204109 ]. In this work, we extend these ideas to variationally enhanced sampling. This leads to an efficient scheme that is able to make use of the many advantages of the variational scheme. We apply the method to alanine-3 in water. From an alanine-3 variationally enhanced sampling trajectory in which all the six dihedral angles are biased, we extract much better collective variables able to describe in exquisite detail the protein complex free energy surface in a low dimensional representation. The success of this investigation is helped by a more accurate way of calculating the correlation functions needed in the time-lagged independent component analysis and from the introduction of a new basis set to describe the dihedral angles arrangement.</description><subject>Alanine</subject><subject>Free energy</subject><subject>Independent component analysis</subject><subject>Mathematical analysis</subject><subject>Proteins</subject><subject>Representations</subject><subject>Sampling methods</subject><issn>1549-9618</issn><issn>1549-9626</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kctLw0AQxhdRbK3ePUnAiwdb95HXHqW0WigI9XENk82kbkk2dTct9L93-zwInmYGft83w3yE3DI6YJSzJ1BusFCtGqQ5pVywM9JlUSj7Mubx-alnaYdcObegVIiQi0vS4TJhEWVJl-gZltpoMw-GTVWhavUafdvYQhto0QVgimBSL22z3kJjixiMDNr5Jpjh0qJD00KrGxNoE3yB1bsBKg99g1FYBO9QLyuvvSYXJVQObw61Rz7Ho4_ha3_69jIZPk_7IOKw7XOQVEU8gZJRWZQJpCpBxUoRSaRFked5CTyKZJSGLFaSlkhDmedAQ4GhSrjokYe9r7_5Z4WuzWrtFFYVGGxWLuP-CyJhQlCP3v9BF83K-us9xeKEyzQVW0O6p5RtnLNYZkura7CbjNFsG0PmY8i2MWSHGLzk7mC8ymssToLj3z3wuAd20uPSf_1-AZ_blIc</recordid><startdate>20180612</startdate><enddate>20180612</enddate><creator>Yang, Yi Isaac</creator><creator>Parrinello, Michele</creator><general>American Chemical Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5599-0975</orcidid></search><sort><creationdate>20180612</creationdate><title>Refining Collective Coordinates and Improving Free Energy Representation in Variational Enhanced Sampling</title><author>Yang, Yi Isaac ; Parrinello, Michele</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a364t-2a90c527af109df7a8c7ec1f359e0ddbbbfa255958416c90fe049bba043e4c723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Alanine</topic><topic>Free energy</topic><topic>Independent component analysis</topic><topic>Mathematical analysis</topic><topic>Proteins</topic><topic>Representations</topic><topic>Sampling methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Yi Isaac</creatorcontrib><creatorcontrib>Parrinello, Michele</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of chemical theory and computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Yi Isaac</au><au>Parrinello, Michele</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Refining Collective Coordinates and Improving Free Energy Representation in Variational Enhanced Sampling</atitle><jtitle>Journal of chemical theory and computation</jtitle><addtitle>J. Chem. Theory Comput</addtitle><date>2018-06-12</date><risdate>2018</risdate><volume>14</volume><issue>6</issue><spage>2889</spage><epage>2894</epage><pages>2889-2894</pages><issn>1549-9618</issn><eissn>1549-9626</eissn><abstract>Collective variables are used often in many enhanced sampling methods, and their choice is a crucial factor in determining sampling efficiency. However, at times, searching for good collective variables can be challenging. In a recent paper, we combined time-lagged independent component analysis with well-tempered metadynamics in order to obtain improved collective variables from metadynamics runs that use lower quality collective variables [McCarty, J.; Parrinello, M. J. Chem. Phys. 2017, 147, 204109 ]. In this work, we extend these ideas to variationally enhanced sampling. This leads to an efficient scheme that is able to make use of the many advantages of the variational scheme. We apply the method to alanine-3 in water. From an alanine-3 variationally enhanced sampling trajectory in which all the six dihedral angles are biased, we extract much better collective variables able to describe in exquisite detail the protein complex free energy surface in a low dimensional representation. The success of this investigation is helped by a more accurate way of calculating the correlation functions needed in the time-lagged independent component analysis and from the introduction of a new basis set to describe the dihedral angles arrangement.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>29715017</pmid><doi>10.1021/acs.jctc.8b00231</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-5599-0975</orcidid></addata></record> |
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subjects | Alanine Free energy Independent component analysis Mathematical analysis Proteins Representations Sampling methods |
title | Refining Collective Coordinates and Improving Free Energy Representation in Variational Enhanced Sampling |
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