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CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology

The identification of evolutionarily conserved features of protein structures can provide insights into their functional and structural properties. Three methods have been developed and implemented as WWW tools, CAMPO, SCR_FIND and CHC_FIND, to analyze evolutionarily conserved residues (ECRs), struc...

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Detalles Bibliográficos
Autores principales: Paiardini, Alessandro, Bossa, Francesco, Pascarella, Stefano
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160177/
https://www.ncbi.nlm.nih.gov/pubmed/15980521
http://dx.doi.org/10.1093/nar/gki416
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author Paiardini, Alessandro
Bossa, Francesco
Pascarella, Stefano
author_facet Paiardini, Alessandro
Bossa, Francesco
Pascarella, Stefano
author_sort Paiardini, Alessandro
collection PubMed
description The identification of evolutionarily conserved features of protein structures can provide insights into their functional and structural properties. Three methods have been developed and implemented as WWW tools, CAMPO, SCR_FIND and CHC_FIND, to analyze evolutionarily conserved residues (ECRs), structurally conserved regions (SCRs) and conserved hydrophobic contacts (CHCs) in protein families and superfamilies, on the basis of their 3D structures and the homologous sequences available. The programs identify protein segments that conserve a similar main-chain conformation, compute residue-to-residue hydrophobic contacts involving only apolar atoms common to all the 3D structures analyzed and allow the identification of conserved amino-acid sites among protein structures and their homologous sequences. The programs also allow the visualization of SCRs, CHCs and ECRs directly on the superposed structures and their multiple structural and sequence alignments. Tools and tutorials explaining their usage are available at , and .
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spelling pubmed-11601772005-06-29 CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology Paiardini, Alessandro Bossa, Francesco Pascarella, Stefano Nucleic Acids Res Article The identification of evolutionarily conserved features of protein structures can provide insights into their functional and structural properties. Three methods have been developed and implemented as WWW tools, CAMPO, SCR_FIND and CHC_FIND, to analyze evolutionarily conserved residues (ECRs), structurally conserved regions (SCRs) and conserved hydrophobic contacts (CHCs) in protein families and superfamilies, on the basis of their 3D structures and the homologous sequences available. The programs identify protein segments that conserve a similar main-chain conformation, compute residue-to-residue hydrophobic contacts involving only apolar atoms common to all the 3D structures analyzed and allow the identification of conserved amino-acid sites among protein structures and their homologous sequences. The programs also allow the visualization of SCRs, CHCs and ECRs directly on the superposed structures and their multiple structural and sequence alignments. Tools and tutorials explaining their usage are available at , and . Oxford University Press 2005-07-01 2005-06-27 /pmc/articles/PMC1160177/ /pubmed/15980521 http://dx.doi.org/10.1093/nar/gki416 Text en © The Author 2005. Published by Oxford University Press. All rights reserved
spellingShingle Article
Paiardini, Alessandro
Bossa, Francesco
Pascarella, Stefano
CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology
title CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology
title_full CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology
title_fullStr CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology
title_full_unstemmed CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology
title_short CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology
title_sort campo, scr_find and chc_find: a suite of web tools for computational structural biology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160177/
https://www.ncbi.nlm.nih.gov/pubmed/15980521
http://dx.doi.org/10.1093/nar/gki416
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