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PUDGE: a flexible, interactive server for protein structure prediction

The construction of a homology model for a protein can involve a number of decisions requiring the integration of different sources of information and the application of different modeling tools depending on the particular problem. Functional information can be especially important in guiding the mo...

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Detalles Bibliográficos
Autores principales: Norel, Raquel, Petrey, Donald, Honig, Barry
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896183/
https://www.ncbi.nlm.nih.gov/pubmed/20525783
http://dx.doi.org/10.1093/nar/gkq475
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author Norel, Raquel
Petrey, Donald
Honig, Barry
author_facet Norel, Raquel
Petrey, Donald
Honig, Barry
author_sort Norel, Raquel
collection PubMed
description The construction of a homology model for a protein can involve a number of decisions requiring the integration of different sources of information and the application of different modeling tools depending on the particular problem. Functional information can be especially important in guiding the modeling process, but such information is not generally integrated into modeling pipelines. Pudge is a flexible, interactive protein structure prediction server, which is designed with these issues in mind. By dividing the modeling into five stages (template selection, alignment, model building, model refinement and model evaluation) and providing various tools to visualize, analyze and compare the results at each stage, we enable a flexible modeling strategy that can be tailored to the needs of a given problem. Pudge is freely available at http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Software:PUDGE.
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spelling pubmed-28961832010-07-02 PUDGE: a flexible, interactive server for protein structure prediction Norel, Raquel Petrey, Donald Honig, Barry Nucleic Acids Res Articles The construction of a homology model for a protein can involve a number of decisions requiring the integration of different sources of information and the application of different modeling tools depending on the particular problem. Functional information can be especially important in guiding the modeling process, but such information is not generally integrated into modeling pipelines. Pudge is a flexible, interactive protein structure prediction server, which is designed with these issues in mind. By dividing the modeling into five stages (template selection, alignment, model building, model refinement and model evaluation) and providing various tools to visualize, analyze and compare the results at each stage, we enable a flexible modeling strategy that can be tailored to the needs of a given problem. Pudge is freely available at http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Software:PUDGE. Oxford University Press 2010-07-01 2010-06-04 /pmc/articles/PMC2896183/ /pubmed/20525783 http://dx.doi.org/10.1093/nar/gkq475 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Norel, Raquel
Petrey, Donald
Honig, Barry
PUDGE: a flexible, interactive server for protein structure prediction
title PUDGE: a flexible, interactive server for protein structure prediction
title_full PUDGE: a flexible, interactive server for protein structure prediction
title_fullStr PUDGE: a flexible, interactive server for protein structure prediction
title_full_unstemmed PUDGE: a flexible, interactive server for protein structure prediction
title_short PUDGE: a flexible, interactive server for protein structure prediction
title_sort pudge: a flexible, interactive server for protein structure prediction
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896183/
https://www.ncbi.nlm.nih.gov/pubmed/20525783
http://dx.doi.org/10.1093/nar/gkq475
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