Predicting peptides bound to I-Ag7 class II histocompatibility molecules using a novel expectation-maximization alignment algorithm

Proteomics

Volumn 7, Issue 3, 2007, Pages 367-377

  Chang, Kuan Y ^a   Suri, Anish ^a   Unanue, Emil R ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Class II MHC molecules; EM algorithm; Epitope prediction; Hindering residues; Log of odds

Indexed keywords

ANTIGEN; HLA ANTIGEN CLASS 2; LYSOZYME;

ALGORITHM; ARTICLE; ENTROPY; EPITOPE MAPPING; MOLECULAR DYNAMICS; PEPTIDE ANALYSIS; PEPTIDE SYNTHESIS; PRIORITY JOURNAL; PROTEIN BINDING; RECEIVER OPERATING CHARACTERISTIC; SEQUENCE ALIGNMENT; T LYMPHOCYTE;

ALGORITHMS; AMINO ACID SEQUENCE; ANIMALS; CELL LINE; EPITOPES; HISTOCOMPATIBILITY ANTIGENS CLASS II; LOD SCORE; MICE; MICE, INBRED NOD; PEPTIDES; PREDICTIVE VALUE OF TESTS; PROTEIN BINDING; SEQUENCE ALIGNMENT;

EID: 33847149571     PISSN: 16159853     EISSN: 16159861     Source Type: Journal    
DOI: 10.1002/pmic.200600584     Document Type: Article

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