Measuring and comparing structural fluctuation patterns in large protein datasets

Autores
Fuglebakk, Edvin; Echave, Julian; Reuter, Nathalie
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Motivation: The function of a protein depends not only on its structure but also on its dynamics. This is at the basis of a large body of ex- perimental and theoretical work on protein dynamics. Further insight into the dynamics?function relationship can be gained by studying the evolutionary divergence of protein motions. To investigate this, we need appropriate comparative dynamics methods. The most used dynamical similarity score is the correlation between the root mean square fluctuations (RMSF) of aligned residues. Despite its usefulness, RMSF is in general less evolutionarily conserved than the native struc- ture. A fundamental issue is whether RMSF is not as conserved as structure because dynamics is less conserved or because RMSF is not the best property to use to study its conservation. Results: We performed a systematic assessment of several scores that quantify the (dis)similarity between protein fluctuation patterns. We show that the best scores perform as well as or better than struc- tural dissimilarity, as assessed by their consistency with the SCOP classification. We conclude that to uncover the full extent of the evo- lutionary conservation of protein fluctuation patterns, it is important to measure the directions of fluctuations and their correlations between sites.
Fil: Fuglebakk, Edvin. University of Bergen; Noruega
Fil: Echave, Julian. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Reuter, Nathalie. University of Bergen; Noruega
Materia
Protein Dynamics
Protein Classification
Protein Evolution
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/197788

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network_name_str CONICET Digital (CONICET)
spelling Measuring and comparing structural fluctuation patterns in large protein datasetsFuglebakk, EdvinEchave, JulianReuter, NathalieProtein DynamicsProtein ClassificationProtein Evolutionhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Motivation: The function of a protein depends not only on its structure but also on its dynamics. This is at the basis of a large body of ex- perimental and theoretical work on protein dynamics. Further insight into the dynamics?function relationship can be gained by studying the evolutionary divergence of protein motions. To investigate this, we need appropriate comparative dynamics methods. The most used dynamical similarity score is the correlation between the root mean square fluctuations (RMSF) of aligned residues. Despite its usefulness, RMSF is in general less evolutionarily conserved than the native struc- ture. A fundamental issue is whether RMSF is not as conserved as structure because dynamics is less conserved or because RMSF is not the best property to use to study its conservation. Results: We performed a systematic assessment of several scores that quantify the (dis)similarity between protein fluctuation patterns. We show that the best scores perform as well as or better than struc- tural dissimilarity, as assessed by their consistency with the SCOP classification. We conclude that to uncover the full extent of the evo- lutionary conservation of protein fluctuation patterns, it is important to measure the directions of fluctuations and their correlations between sites.Fil: Fuglebakk, Edvin. University of Bergen; NoruegaFil: Echave, Julian. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Reuter, Nathalie. University of Bergen; NoruegaOxford University Press2012-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/197788Fuglebakk, Edvin; Echave, Julian; Reuter, Nathalie; Measuring and comparing structural fluctuation patterns in large protein datasets; Oxford University Press; Bioinformatics (Oxford, England); 28; 19; 10-2012; 2431-24401367-4803CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/bioinformatics/article/28/19/2431/288157info:eu-repo/semantics/altIdentifier/doi/10.1093/bioinformatics/bts445info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:38:35Zoai:ri.conicet.gov.ar:11336/197788instacron: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:34982025-10-15 15:38:35.911CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Measuring and comparing structural fluctuation patterns in large protein datasets
title Measuring and comparing structural fluctuation patterns in large protein datasets
spellingShingle Measuring and comparing structural fluctuation patterns in large protein datasets
Fuglebakk, Edvin
Protein Dynamics
Protein Classification
Protein Evolution
title_short Measuring and comparing structural fluctuation patterns in large protein datasets
title_full Measuring and comparing structural fluctuation patterns in large protein datasets
title_fullStr Measuring and comparing structural fluctuation patterns in large protein datasets
title_full_unstemmed Measuring and comparing structural fluctuation patterns in large protein datasets
title_sort Measuring and comparing structural fluctuation patterns in large protein datasets
dc.creator.none.fl_str_mv Fuglebakk, Edvin
Echave, Julian
Reuter, Nathalie
author Fuglebakk, Edvin
author_facet Fuglebakk, Edvin
Echave, Julian
Reuter, Nathalie
author_role author
author2 Echave, Julian
Reuter, Nathalie
author2_role author
author
dc.subject.none.fl_str_mv Protein Dynamics
Protein Classification
Protein Evolution
topic Protein Dynamics
Protein Classification
Protein Evolution
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Motivation: The function of a protein depends not only on its structure but also on its dynamics. This is at the basis of a large body of ex- perimental and theoretical work on protein dynamics. Further insight into the dynamics?function relationship can be gained by studying the evolutionary divergence of protein motions. To investigate this, we need appropriate comparative dynamics methods. The most used dynamical similarity score is the correlation between the root mean square fluctuations (RMSF) of aligned residues. Despite its usefulness, RMSF is in general less evolutionarily conserved than the native struc- ture. A fundamental issue is whether RMSF is not as conserved as structure because dynamics is less conserved or because RMSF is not the best property to use to study its conservation. Results: We performed a systematic assessment of several scores that quantify the (dis)similarity between protein fluctuation patterns. We show that the best scores perform as well as or better than struc- tural dissimilarity, as assessed by their consistency with the SCOP classification. We conclude that to uncover the full extent of the evo- lutionary conservation of protein fluctuation patterns, it is important to measure the directions of fluctuations and their correlations between sites.
Fil: Fuglebakk, Edvin. University of Bergen; Noruega
Fil: Echave, Julian. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Reuter, Nathalie. University of Bergen; Noruega
description Motivation: The function of a protein depends not only on its structure but also on its dynamics. This is at the basis of a large body of ex- perimental and theoretical work on protein dynamics. Further insight into the dynamics?function relationship can be gained by studying the evolutionary divergence of protein motions. To investigate this, we need appropriate comparative dynamics methods. The most used dynamical similarity score is the correlation between the root mean square fluctuations (RMSF) of aligned residues. Despite its usefulness, RMSF is in general less evolutionarily conserved than the native struc- ture. A fundamental issue is whether RMSF is not as conserved as structure because dynamics is less conserved or because RMSF is not the best property to use to study its conservation. Results: We performed a systematic assessment of several scores that quantify the (dis)similarity between protein fluctuation patterns. We show that the best scores perform as well as or better than struc- tural dissimilarity, as assessed by their consistency with the SCOP classification. We conclude that to uncover the full extent of the evo- lutionary conservation of protein fluctuation patterns, it is important to measure the directions of fluctuations and their correlations between sites.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
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/11336/197788
Fuglebakk, Edvin; Echave, Julian; Reuter, Nathalie; Measuring and comparing structural fluctuation patterns in large protein datasets; Oxford University Press; Bioinformatics (Oxford, England); 28; 19; 10-2012; 2431-2440
1367-4803
CONICET Digital
CONICET
url http://hdl.handle.net/11336/197788
identifier_str_mv Fuglebakk, Edvin; Echave, Julian; Reuter, Nathalie; Measuring and comparing structural fluctuation patterns in large protein datasets; Oxford University Press; Bioinformatics (Oxford, England); 28; 19; 10-2012; 2431-2440
1367-4803
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/bioinformatics/article/28/19/2431/288157
info:eu-repo/semantics/altIdentifier/doi/10.1093/bioinformatics/bts445
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 Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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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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