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ProFunc: a server for predicting protein function from 3D structure

ProFunc () is a web server for predicting the likely function of proteins whose 3D structure is known but whose function is not. Users submit the coordinates of their structure to the server in PDB format. ProFunc makes use of both existing and novel methods to analyse the protein's sequence an...

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Detalles Bibliográficos
Autores principales: Laskowski, Roman A., Watson, James D., Thornton, Janet M.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160175/
https://www.ncbi.nlm.nih.gov/pubmed/15980588
http://dx.doi.org/10.1093/nar/gki414
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author Laskowski, Roman A.
Watson, James D.
Thornton, Janet M.
author_facet Laskowski, Roman A.
Watson, James D.
Thornton, Janet M.
author_sort Laskowski, Roman A.
collection PubMed
description ProFunc () is a web server for predicting the likely function of proteins whose 3D structure is known but whose function is not. Users submit the coordinates of their structure to the server in PDB format. ProFunc makes use of both existing and novel methods to analyse the protein's sequence and structure identifying functional motifs or close relationships to functionally characterized proteins. A summary of the analyses provides an at-a-glance view of what each of the different methods has found. More detailed results are available on separate pages. Often where one method has failed to find anything useful another may be more forthcoming. The server is likely to be of most use in structural genomics where a large proportion of the proteins whose structures are solved are of hypothetical proteins of unknown function. However, it may also find use in a comparative analysis of members of large protein families. It provides a convenient compendium of sequence and structural information that often hold vital functional clues to be followed up experimentally.
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spelling pubmed-11601752005-06-29 ProFunc: a server for predicting protein function from 3D structure Laskowski, Roman A. Watson, James D. Thornton, Janet M. Nucleic Acids Res Article ProFunc () is a web server for predicting the likely function of proteins whose 3D structure is known but whose function is not. Users submit the coordinates of their structure to the server in PDB format. ProFunc makes use of both existing and novel methods to analyse the protein's sequence and structure identifying functional motifs or close relationships to functionally characterized proteins. A summary of the analyses provides an at-a-glance view of what each of the different methods has found. More detailed results are available on separate pages. Often where one method has failed to find anything useful another may be more forthcoming. The server is likely to be of most use in structural genomics where a large proportion of the proteins whose structures are solved are of hypothetical proteins of unknown function. However, it may also find use in a comparative analysis of members of large protein families. It provides a convenient compendium of sequence and structural information that often hold vital functional clues to be followed up experimentally. Oxford University Press 2005-07-01 2005-06-27 /pmc/articles/PMC1160175/ /pubmed/15980588 http://dx.doi.org/10.1093/nar/gki414 Text en © The Author 2005. Published by Oxford University Press. All rights reserved
spellingShingle Article
Laskowski, Roman A.
Watson, James D.
Thornton, Janet M.
ProFunc: a server for predicting protein function from 3D structure
title ProFunc: a server for predicting protein function from 3D structure
title_full ProFunc: a server for predicting protein function from 3D structure
title_fullStr ProFunc: a server for predicting protein function from 3D structure
title_full_unstemmed ProFunc: a server for predicting protein function from 3D structure
title_short ProFunc: a server for predicting protein function from 3D structure
title_sort profunc: a server for predicting protein function from 3d structure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160175/
https://www.ncbi.nlm.nih.gov/pubmed/15980588
http://dx.doi.org/10.1093/nar/gki414
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