Prediction of MHC-peptide binding: A systematic and comprehensive overview

Current Pharmaceutical Design

Volumn 15, Issue 28, 2009, Pages 3209-3220

  Lafuente, Esther M ^a   Reche, Pedro A ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Epitopes; HLA; MHC; Peptide; Prediction; T cells

Indexed keywords

BETA 2 MICROGLOBULIN; EPITOPE; T LYMPHOCYTE RECEPTOR;

AMINO ACID SEQUENCE; ANTIGEN RECOGNITION; ARTIFICIAL NEURAL NETWORK; BETA SHEET; BINDING AFFINITY; COMPUTER PREDICTION; DATA BASE; DECISION TREE; HIDDEN MARKOV MODEL; INTERNET; LEARNING ALGORITHM; LIGAND BINDING; MAJOR HISTOCOMPATIBILITY COMPLEX; PATTERN RECOGNITION; PEPTIDE ANALYSIS; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN DOMAIN; PROTEIN MOTIF; QUANTITATIVE STUDY; REVIEW; STRUCTURE ANALYSIS; SUPPORT VECTOR MACHINE;

ARTIFICIAL INTELLIGENCE; DATABASES, GENETIC; DRUG DESIGN; EPITOPES, T-LYMPHOCYTE; HUMANS; MAJOR HISTOCOMPATIBILITY COMPLEX; MODELS, MOLECULAR; PEPTIDES; PROTEIN BINDING; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; T-LYMPHOCYTES;

EID: 70449416038     PISSN: 13816128     EISSN: None     Source Type: Journal    
DOI: 10.2174/138161209789105162     Document Type: Review

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