WebAllergen: a web-based database for protein allergenicity prediction
نویسندگان
چکیده
منابع مشابه
A database for allergenic proteins and tools for allergenicity prediction
UNLABELLED 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 mic...
متن کاملAllergenPro: an integrated database for allergenicity analysis and prediction
UNLABELLED 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 epit...
متن کاملSPD—a web-based secreted protein database
With the improved secreted protein prediction approach and comprehensive data sources, including Swiss-Prot, TrEMBL, RefSeq, Ensembl and CBI-Gene, we have constructed secretomes of human, mouse and rat, with a total of 18 152 secreted proteins. All the entries are ranked according to the prediction confidence. They were further annotated via a proteome annotation pipeline that we developed. We ...
متن کاملWebAllergen: a web server for predicting allergenic proteins
UNLABELLED WebAllergen is a web server that predicts the potential allergenicity of proteins. The query protein will be compared against a set of prebuilt allergenic motifs that have been obtained from 664 known allergen proteins. The query will also be compared with known allergens that do not have detectable allergenic motifs. Moreover, users are allowed to upload their own allergens as alter...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the National Science Foundation of Sri Lanka
سال: 2018
ISSN: 2362-0161,1391-4588
DOI: 10.4038/jnsfsr.v46i2.8424