SVRMHC prediction server for MHC-binding peptides

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Wan, Ji ^a   Liu, Wen ^a   Xu, Qiqi ^a   Ren, Yongliang ^a   Flower, Darren R ^b   Li, Tongbin ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIGENIC PEPTIDES; BINDING AFFINITIES; CLASS II MHC; IMMUNE RESPONSE; LINEAR MODELING; QUANTITATIVE MODELING; REDUCING COSTS; T-CELL EPITOPES;

BINDING ENERGY; EPITOPES; FORECASTING; MOLECULES;

PEPTIDES;

BINDING PROTEIN; HLA DQA1 ANTIGEN; HLA DR ANTIGEN; HLA DR5 ANTIGEN; MAJOR HISTOCOMPATIBILITY ANTIGEN; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 2; EPITOPE; PROTEIN BINDING;

ACCURACY; ANTIGEN BINDING; ARTICLE; BINDING AFFINITY; CLIENT SERVER APPLICATION; INTERMETHOD COMPARISON; MEDICAL RESEARCH; MOUSE; NONHUMAN; PERFORMANCE; PREDICTION; PROCESS MODEL; PROTEIN INTERACTION; QUALITY CONTROL; QUANTITATIVE ANALYSIS; SCORING SYSTEM; T LYMPHOCYTE; AMINO ACID SEQUENCE; BINDING SITE; BIOLOGICAL MODEL; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER PROGRAM; COMPUTER SIMULATION; EPITOPE MAPPING; EVALUATION STUDY; IMMUNOLOGY; INTERNET; MAJOR HISTOCOMPATIBILITY COMPLEX; MOLECULAR GENETICS; PROCEDURES; SEQUENCE ANALYSIS;

AMINO ACID SEQUENCE; BINDING SITES; COMPUTER SIMULATION; EPITOPE MAPPING; EPITOPES; INTERNET; MAJOR HISTOCOMPATIBILITY COMPLEX; MODELS, CHEMICAL; MODELS, IMMUNOLOGICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROTEIN BINDING; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 33750464517     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-463     Document Type: Article

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