DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines

The proper prediction of the location of disulfide bridges is efficient in helping to solve the protein folding problem. Most of the previous works on the prediction of disulfide connectivity pattern use the prior knowledge of the bonding state of cysteines. The DBCP web server provides prediction o...

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Detalles Bibliográficos
Autores principales: Lin, Hsuan-Hung, Tseng, Lin-Yu
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896133/
https://www.ncbi.nlm.nih.gov/pubmed/20530534
http://dx.doi.org/10.1093/nar/gkq514
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author Lin, Hsuan-Hung
Tseng, Lin-Yu
author_facet Lin, Hsuan-Hung
Tseng, Lin-Yu
author_sort Lin, Hsuan-Hung
collection PubMed
description The proper prediction of the location of disulfide bridges is efficient in helping to solve the protein folding problem. Most of the previous works on the prediction of disulfide connectivity pattern use the prior knowledge of the bonding state of cysteines. The DBCP web server provides prediction of disulfide bonding connectivity pattern without the prior knowledge of the bonding state of cysteines. The method used in this server improves the accuracy of disulfide connectivity pattern prediction (Q(p)) over the previous studies reported in the literature. This DBCP server can be accessed at http://120.107.8.16/dbcp or http://140.120.14.136/dbcp.
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spelling pubmed-28961332010-07-02 DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines Lin, Hsuan-Hung Tseng, Lin-Yu Nucleic Acids Res Articles The proper prediction of the location of disulfide bridges is efficient in helping to solve the protein folding problem. Most of the previous works on the prediction of disulfide connectivity pattern use the prior knowledge of the bonding state of cysteines. The DBCP web server provides prediction of disulfide bonding connectivity pattern without the prior knowledge of the bonding state of cysteines. The method used in this server improves the accuracy of disulfide connectivity pattern prediction (Q(p)) over the previous studies reported in the literature. This DBCP server can be accessed at http://120.107.8.16/dbcp or http://140.120.14.136/dbcp. Oxford University Press 2010-07-01 2010-06-08 /pmc/articles/PMC2896133/ /pubmed/20530534 http://dx.doi.org/10.1093/nar/gkq514 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
Lin, Hsuan-Hung
Tseng, Lin-Yu
DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines
title DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines
title_full DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines
title_fullStr DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines
title_full_unstemmed DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines
title_short DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines
title_sort dbcp: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896133/
https://www.ncbi.nlm.nih.gov/pubmed/20530534
http://dx.doi.org/10.1093/nar/gkq514
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