A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach

PLoS Computational Biology

Volumn 4, Issue 4, 2008, Pages

  Wang, Peng ^a   Sidney, John ^a   Dow, Courtney ^a,b   Mothé, Bianca ^b   Sette, Alessandro ^a   Peters, Bjoern ^a  

^a LA JOLLA INSTITUTE FOR ALLERGY AND IMMUNOLOGY   (United States)

^b CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINDING ENERGY; FORECASTING; T-CELLS;

CLASS II; COMPUTATIONAL TOOLS; LARGE-SCALES; MHC PEPTIDE; PEPTIDE BINDING; PEPTIDE EPITOPES; PERFORMANCE; PREDICTION TOOLS; SYSTEMATIC ASSESSMENT; SYSTEMATIC EVALUATION;

PEPTIDES;

MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 2; PEPTIDE; HLA D ANTIGEN;

ANTIGEN BINDING; ARTICLE; BINDING AFFINITY; CD4+ T LYMPHOCYTE; CONSENSUS DEVELOPMENT; CRYSTAL STRUCTURE; MAJOR HISTOCOMPATIBILITY COMPLEX; PREDICTION; PROTEIN BINDING; PROTEIN STRUCTURE; STRUCTURE ANALYSIS; ALGORITHM; AMINO ACID SEQUENCE; BINDING SITE; CHEMISTRY; EPITOPE MAPPING; GENE; METHODOLOGY; MOLECULAR GENETICS; SEQUENCE ANALYSIS;

ALGORITHMS; AMINO ACID SEQUENCE; BINDING SITES; EPITOPE MAPPING; GENES, MHC CLASS II; HLA-D ANTIGENS; MOLECULAR SEQUENCE DATA; PEPTIDES; PROTEIN BINDING; SEQUENCE ANALYSIS, PROTEIN;

EID: 42949139524     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000048     Document Type: Article

References (62)