Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins
- Autores
- Cossio Pérez, Rodrigo; Palma, Juliana Isabel; Pierdominici Sottile, Gustavo
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: equivalent simulations do not afford the same PC-modes. In this article, we show that concatenating equivalent trajectories and calculating the PC-modes from the concatenated one significantly enhances the reproducibility of the results. Moreover, the consistency of the modes can be systematically improved by adding more individual trajectories to the concatenated one.
Fil: Cossio Pérez, Rodrigo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Palma, Juliana Isabel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pierdominici Sottile, Gustavo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
Principal component analysis
Molecular dynamics - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/72866
Ver los metadatos del registro completo
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Consistent Principal Component Modes from Molecular Dynamics Simulations of ProteinsCossio Pérez, RodrigoPalma, Juliana IsabelPierdominici Sottile, GustavoPrincipal component analysisMolecular dynamicshttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: equivalent simulations do not afford the same PC-modes. In this article, we show that concatenating equivalent trajectories and calculating the PC-modes from the concatenated one significantly enhances the reproducibility of the results. Moreover, the consistency of the modes can be systematically improved by adding more individual trajectories to the concatenated one.Fil: Cossio Pérez, Rodrigo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Palma, Juliana Isabel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pierdominici Sottile, Gustavo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaAmerican Chemical Society2017-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/72866Cossio Pérez, Rodrigo; Palma, Juliana Isabel; Pierdominici Sottile, Gustavo; Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins; American Chemical Society; Journal of Chemical Information and Modeling; 57; 4; 4-2017; 826-8341549-9596CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1021/acs.jcim.6b00646info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.jcim.6b00646info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:11:48Zoai:ri.conicet.gov.ar:11336/72866instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:11:48.498CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins |
title |
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins |
spellingShingle |
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins Cossio Pérez, Rodrigo Principal component analysis Molecular dynamics |
title_short |
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins |
title_full |
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins |
title_fullStr |
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins |
title_full_unstemmed |
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins |
title_sort |
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins |
dc.creator.none.fl_str_mv |
Cossio Pérez, Rodrigo Palma, Juliana Isabel Pierdominici Sottile, Gustavo |
author |
Cossio Pérez, Rodrigo |
author_facet |
Cossio Pérez, Rodrigo Palma, Juliana Isabel Pierdominici Sottile, Gustavo |
author_role |
author |
author2 |
Palma, Juliana Isabel Pierdominici Sottile, Gustavo |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Principal component analysis Molecular dynamics |
topic |
Principal component analysis Molecular dynamics |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: equivalent simulations do not afford the same PC-modes. In this article, we show that concatenating equivalent trajectories and calculating the PC-modes from the concatenated one significantly enhances the reproducibility of the results. Moreover, the consistency of the modes can be systematically improved by adding more individual trajectories to the concatenated one. Fil: Cossio Pérez, Rodrigo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Palma, Juliana Isabel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Pierdominici Sottile, Gustavo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: equivalent simulations do not afford the same PC-modes. In this article, we show that concatenating equivalent trajectories and calculating the PC-modes from the concatenated one significantly enhances the reproducibility of the results. Moreover, the consistency of the modes can be systematically improved by adding more individual trajectories to the concatenated one. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/72866 Cossio Pérez, Rodrigo; Palma, Juliana Isabel; Pierdominici Sottile, Gustavo; Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins; American Chemical Society; Journal of Chemical Information and Modeling; 57; 4; 4-2017; 826-834 1549-9596 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/72866 |
identifier_str_mv |
Cossio Pérez, Rodrigo; Palma, Juliana Isabel; Pierdominici Sottile, Gustavo; Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins; American Chemical Society; Journal of Chemical Information and Modeling; 57; 4; 4-2017; 826-834 1549-9596 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.jcim.6b00646 info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.jcim.6b00646 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Chemical Society |
publisher.none.fl_str_mv |
American Chemical Society |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842270171026161664 |
score |
13.13397 |