T-cell epitope prediction methods: An overview

Methods in Molecular Biology

Volumn 1184, Issue , 2014, Pages 333-364

  Desai, Dattatraya V ^a   Kulkarni Kale, Urmila ^a  

^a UNIVERSITY OF PUNE   (India)

Author keywords

Bioinformatics; Epitope prediction algorithm; Immunoinformatics; MHC polymorphism; MHC peptide binding; Motif; Proteasomal cleavage; Quantitative matrix; T cell epitope; TAP transport; Vaccine design

Indexed keywords

EPITOPE; HLA DRB1 ANTIGEN; T CELL EPITOPE; T LYMPHOCYTE RECEPTOR; UNCLASSIFIED DRUG;

ALGORITHM; ALLELE; AMINO ACID SEQUENCE; ANTIGEN PRESENTATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; BINDING AFFINITY; CRYSTAL STRUCTURE; HLA SYSTEM; HUMAN; HYDROPHOBICITY; IMMUNE RESPONSE; IMMUNOGENICITY; MAJOR HISTOCOMPATIBILITY COMPLEX; MAJOR HISTOCOMPATIBILITY COMPLEX RESTRICTION; MOLECULAR DOCKING; PERIODICITY; POSITION WEIGHT MATRIX; PREDICTION; PRIORITY JOURNAL; PROTEIN MOTIF; PROTEIN SECONDARY STRUCTURE; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE; T LYMPHOCYTE; ANIMAL; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; BIOLOGY; CHEMISTRY; COMPUTER PROGRAM; IMMUNOLOGY; PROCEDURES;

ANIMALS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; EPITOPES, T-LYMPHOCYTE; HUMANS; MODELS, IMMUNOLOGICAL; SOFTWARE;

EID: 84925884151     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4939-1115-8_19     Document Type: Article

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