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A database for allergenic proteins and tools for allergenicity prediction
The AllergenPro database has developed a web-based system that will provide information about allergen in microbes, animals and plants. The database has three major parts and functions:(i) database list; (ii) allergen search; and (iii) allergenicity prediction. The database contains 2,434 allergens...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics Publishing Group
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2720674/ https://www.ncbi.nlm.nih.gov/pubmed/19707297 |
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author | Kim, ChangKug Kwon, SooJin Lee, GangSeob Lee, HwanKi Choi, JiWeon Kim, YongHwan Hahn, JangHo |
author_facet | Kim, ChangKug Kwon, SooJin Lee, GangSeob Lee, HwanKi Choi, JiWeon Kim, YongHwan Hahn, JangHo |
author_sort | Kim, ChangKug |
collection | PubMed |
description | The AllergenPro database has developed a web-based system that will provide information about allergen in microbes, animals and plants. The database has three major parts and functions:(i) database list; (ii) allergen search; and (iii) allergenicity prediction. The database contains 2,434 allergens related information readily available in the database such as on allergens in rice microbes (712 records), animals (617 records) and plants (1,105 records). Furthermore, this database provides bioinformatics tools for allergenicity prediction. Users can search for specific allergens by various methods and can run tools for allergenicity prediction using three different methods. AVAILABILITY: The database is available for free at http://www.niab.go.kr/nabic/ |
format | Text |
id | pubmed-2720674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-27206742009-08-25 A database for allergenic proteins and tools for allergenicity prediction Kim, ChangKug Kwon, SooJin Lee, GangSeob Lee, HwanKi Choi, JiWeon Kim, YongHwan Hahn, JangHo Bioinformation Database The AllergenPro database has developed a web-based system that will provide information about allergen in microbes, animals and plants. The database has three major parts and functions:(i) database list; (ii) allergen search; and (iii) allergenicity prediction. The database contains 2,434 allergens related information readily available in the database such as on allergens in rice microbes (712 records), animals (617 records) and plants (1,105 records). Furthermore, this database provides bioinformatics tools for allergenicity prediction. Users can search for specific allergens by various methods and can run tools for allergenicity prediction using three different methods. AVAILABILITY: The database is available for free at http://www.niab.go.kr/nabic/ Biomedical Informatics Publishing Group 2009-04-21 /pmc/articles/PMC2720674/ /pubmed/19707297 Text en © 2009 Biomedical Informatics Publishing Group 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, ChangKug Kwon, SooJin Lee, GangSeob Lee, HwanKi Choi, JiWeon Kim, YongHwan Hahn, JangHo A database for allergenic proteins and tools for allergenicity prediction |
title | A database for allergenic proteins and tools for allergenicity prediction |
title_full | A database for allergenic proteins and tools for allergenicity prediction |
title_fullStr | A database for allergenic proteins and tools for allergenicity prediction |
title_full_unstemmed | A database for allergenic proteins and tools for allergenicity prediction |
title_short | A database for allergenic proteins and tools for allergenicity prediction |
title_sort | database for allergenic proteins and tools for allergenicity prediction |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2720674/ https://www.ncbi.nlm.nih.gov/pubmed/19707297 |
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