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dc.contributor.author
Cossio Pérez, Rodrigo  
dc.contributor.author
Palma, Juliana Isabel  
dc.contributor.author
Pierdominici Sottile, Gustavo  
dc.date.available
2019-03-29T19:12:50Z  
dc.date.issued
2017-04  
dc.identifier.citation
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  
dc.identifier.issn
1549-9596  
dc.identifier.uri
http://hdl.handle.net/11336/72866  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Chemical Society  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Principal Component Analysis  
dc.subject
Molecular Dynamics  
dc.subject.classification
Otras Ciencias Químicas  
dc.subject.classification
Ciencias Químicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-03-29T12:07:16Z  
dc.journal.volume
57  
dc.journal.number
4  
dc.journal.pagination
826-834  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Washington  
dc.description.fil
Fil: Cossio Pérez, Rodrigo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Palma, Juliana Isabel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Pierdominici Sottile, Gustavo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Journal of Chemical Information and Modeling  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/acs.jcim.6b00646  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.jcim.6b00646