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AllergenPro: an integrated database for allergenicity analysis and prediction

The National Agricultural Biotechnology Information Center (NABIC) reconstructed an AllergenPro database for allergenic proteins analysis and allergenicity prediction. The AllergenPro is an integrated web-based system providing information about allergen in foods, microorganisms, animals and plants....

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Autores principales: Kim, Chang-Kug, Seol, Young-Joo, Lee, Dong-Jun, Jeong, In-Seon, Yoon, Ung-Han, Lee, Jong-Yeol, Lee, Gang-Seob, Park, Dong-Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110430/
https://www.ncbi.nlm.nih.gov/pubmed/25097382
http://dx.doi.org/10.6026/97320630010378
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author Kim, Chang-Kug
Seol, Young-Joo
Lee, Dong-Jun
Jeong, In-Seon
Yoon, Ung-Han
Lee, Jong-Yeol
Lee, Gang-Seob
Park, Dong-Suk
author_facet Kim, Chang-Kug
Seol, Young-Joo
Lee, Dong-Jun
Jeong, In-Seon
Yoon, Ung-Han
Lee, Jong-Yeol
Lee, Gang-Seob
Park, Dong-Suk
author_sort Kim, Chang-Kug
collection PubMed
description The National Agricultural Biotechnology Information Center (NABIC) reconstructed an AllergenPro database for allergenic proteins analysis and allergenicity prediction. The AllergenPro is an integrated web-based system providing information about allergen in foods, microorganisms, animals and plants. The allergen database has the three main features namely, (1) allergen list with epitopes, (2) searching of allergen using keyword, and (3) methods for allergenicity prediction. This updated AllergenPro outputs the search based allergen information through a user-friendly web interface, and users can run tools for allergenicity prediction using three different methods namely, (1) FAO/WHO, (2) motif-based and (3) epitope-based methods. AVAILABILITY: The database is available for free at http://nabic.rda.go.kr/allergen/
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spelling pubmed-41104302014-08-05 AllergenPro: an integrated database for allergenicity analysis and prediction Kim, Chang-Kug Seol, Young-Joo Lee, Dong-Jun Jeong, In-Seon Yoon, Ung-Han Lee, Jong-Yeol Lee, Gang-Seob Park, Dong-Suk Bioinformation Database The National Agricultural Biotechnology Information Center (NABIC) reconstructed an AllergenPro database for allergenic proteins analysis and allergenicity prediction. The AllergenPro is an integrated web-based system providing information about allergen in foods, microorganisms, animals and plants. The allergen database has the three main features namely, (1) allergen list with epitopes, (2) searching of allergen using keyword, and (3) methods for allergenicity prediction. This updated AllergenPro outputs the search based allergen information through a user-friendly web interface, and users can run tools for allergenicity prediction using three different methods namely, (1) FAO/WHO, (2) motif-based and (3) epitope-based methods. AVAILABILITY: The database is available for free at http://nabic.rda.go.kr/allergen/ Biomedical Informatics 2014-06-30 /pmc/articles/PMC4110430/ /pubmed/25097382 http://dx.doi.org/10.6026/97320630010378 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Database
Kim, Chang-Kug
Seol, Young-Joo
Lee, Dong-Jun
Jeong, In-Seon
Yoon, Ung-Han
Lee, Jong-Yeol
Lee, Gang-Seob
Park, Dong-Suk
AllergenPro: an integrated database for allergenicity analysis and prediction
title AllergenPro: an integrated database for allergenicity analysis and prediction
title_full AllergenPro: an integrated database for allergenicity analysis and prediction
title_fullStr AllergenPro: an integrated database for allergenicity analysis and prediction
title_full_unstemmed AllergenPro: an integrated database for allergenicity analysis and prediction
title_short AllergenPro: an integrated database for allergenicity analysis and prediction
title_sort allergenpro: an integrated database for allergenicity analysis and prediction
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110430/
https://www.ncbi.nlm.nih.gov/pubmed/25097382
http://dx.doi.org/10.6026/97320630010378
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