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varDB: a pathogen-specific sequence database of protein families involved in antigenic variation

Summary: Infectious diseases are a major threat to global public health and prosperity. The causative agents consist of a suite of pathogens, ranging from bacteria to viruses, including fungi, helminthes and protozoa. Although these organisms are extremely varied in their biological structure and in...

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Autores principales: Hayes, C. Nelson, Diez, Diego, Joannin, Nicolas, Honda, Wataru, Kanehisa, Minoru, Wahlgren, Mats, Wheelock, Craig E., Goto, Susumu
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2572703/
https://www.ncbi.nlm.nih.gov/pubmed/18776192
http://dx.doi.org/10.1093/bioinformatics/btn477
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author Hayes, C. Nelson
Diez, Diego
Joannin, Nicolas
Honda, Wataru
Kanehisa, Minoru
Wahlgren, Mats
Wheelock, Craig E.
Goto, Susumu
author_facet Hayes, C. Nelson
Diez, Diego
Joannin, Nicolas
Honda, Wataru
Kanehisa, Minoru
Wahlgren, Mats
Wheelock, Craig E.
Goto, Susumu
author_sort Hayes, C. Nelson
collection PubMed
description Summary: Infectious diseases are a major threat to global public health and prosperity. The causative agents consist of a suite of pathogens, ranging from bacteria to viruses, including fungi, helminthes and protozoa. Although these organisms are extremely varied in their biological structure and interactions with the host, they share similar methods of evading the host immune system. Antigenic variation and drift are mechanisms by which pathogens change their exposed epitopes while maintaining protein function. Accordingly, these traits enable pathogens to establish chronic infections in the host. The varDB database was developed to serve as a central repository of protein and nucleotide sequences as well as associated features (e.g. field isolate data, clinical parameters, etc.) involved in antigenic variation. The data currently contained in varDB were mined from GenBank as well as multiple specialized data repositories (e.g. PlasmoDB, GiardiaDB). Family members and ortholog groups were identified using a hierarchical search strategy, including literature/author-based searches and HMM profiles. Included in the current release are>29 000 sequences from 39 gene families from 25 different pathogens. This resource will enable researchers to compare antigenic variation within and across taxa with the goal of identifying common mechanisms of pathogenicity to assist in the fight against a range of devastating diseases. Availability: varDB is freely accessible at http://www.vardb.org/ Contact: nelson@kuicr.kyoto-u.ac.jp; goto@kuicr.kyoto-u.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-25727032008-10-26 varDB: a pathogen-specific sequence database of protein families involved in antigenic variation Hayes, C. Nelson Diez, Diego Joannin, Nicolas Honda, Wataru Kanehisa, Minoru Wahlgren, Mats Wheelock, Craig E. Goto, Susumu Bioinformatics Applications Note Summary: Infectious diseases are a major threat to global public health and prosperity. The causative agents consist of a suite of pathogens, ranging from bacteria to viruses, including fungi, helminthes and protozoa. Although these organisms are extremely varied in their biological structure and interactions with the host, they share similar methods of evading the host immune system. Antigenic variation and drift are mechanisms by which pathogens change their exposed epitopes while maintaining protein function. Accordingly, these traits enable pathogens to establish chronic infections in the host. The varDB database was developed to serve as a central repository of protein and nucleotide sequences as well as associated features (e.g. field isolate data, clinical parameters, etc.) involved in antigenic variation. The data currently contained in varDB were mined from GenBank as well as multiple specialized data repositories (e.g. PlasmoDB, GiardiaDB). Family members and ortholog groups were identified using a hierarchical search strategy, including literature/author-based searches and HMM profiles. Included in the current release are>29 000 sequences from 39 gene families from 25 different pathogens. This resource will enable researchers to compare antigenic variation within and across taxa with the goal of identifying common mechanisms of pathogenicity to assist in the fight against a range of devastating diseases. Availability: varDB is freely accessible at http://www.vardb.org/ Contact: nelson@kuicr.kyoto-u.ac.jp; goto@kuicr.kyoto-u.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2008-11-01 2008-09-06 /pmc/articles/PMC2572703/ /pubmed/18776192 http://dx.doi.org/10.1093/bioinformatics/btn477 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Hayes, C. Nelson
Diez, Diego
Joannin, Nicolas
Honda, Wataru
Kanehisa, Minoru
Wahlgren, Mats
Wheelock, Craig E.
Goto, Susumu
varDB: a pathogen-specific sequence database of protein families involved in antigenic variation
title varDB: a pathogen-specific sequence database of protein families involved in antigenic variation
title_full varDB: a pathogen-specific sequence database of protein families involved in antigenic variation
title_fullStr varDB: a pathogen-specific sequence database of protein families involved in antigenic variation
title_full_unstemmed varDB: a pathogen-specific sequence database of protein families involved in antigenic variation
title_short varDB: a pathogen-specific sequence database of protein families involved in antigenic variation
title_sort vardb: a pathogen-specific sequence database of protein families involved in antigenic variation
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2572703/
https://www.ncbi.nlm.nih.gov/pubmed/18776192
http://dx.doi.org/10.1093/bioinformatics/btn477
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