title: WebAllergen: a web server for predicting allergenic proteins.
abstract: 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 alternative training sequences on which a new set of allergenic motifs will be built. The query sequences can also be compared with these motifs.
  
  
  BACKGROUND
  http://weballergen.bii.a-star.edu.sg/
authors.affiliation: Bioinformatics Institute, 30 Biopolis Street, 138671, Singapore.
authors.forename: Tariq
authors.initials: T
authors.lastname: Riaz
authors.forename: Hen Ley
authors.initials: HL
authors.lastname: Hor
authors.forename: Arun
authors.initials: A
authors.lastname: Krishnan
authors.forename: Francis
authors.initials: F
authors.lastname: Tang
authors.forename: Kuo-Bin
authors.initials: KB
authors.lastname: Li
mesh_terms: D000465:Algorithms; D000485:Allergens / Q000032:analysis / Q000737:chemistry* / Q000145:classification; D020816:Amino Acid Motifs; D001185:Artificial Intelligence; D020407:Internet; D010363:Pattern Recognition, Automated / Q000379:methods; D011506:Proteins / Q000032:analysis / Q000737:chemistry* / Q000145:classification; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software; D013329:Structure-Activity Relationship; D014584:User-Computer Interface
chemical_list: D000485:Allergens; D011506:Proteins