Quantitative prediction of MHC-II binding affinity using particle swarm optimization

Artificial Intelligence in Medicine

Volumn 50, Issue 2, 2010, Pages 127-132

  Zhang, Wen ^a   Liu, Juan ^a   Niu, Yanqing ^b  

^a WUHAN UNIVERSITY   (China)

^b SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES   (China)

Author keywords

MHC II quantitative prediction; Particle swarm optimization; Position specific scoring matrix; T cell immunity

Indexed keywords

AREA UNDER ROCS; BINDING AFFINITIES; BINDING PEPTIDE; CORRELATION COEFFICIENT; DIRECT PREDICTION; IMMUNE MECHANISM; IMMUNE RESPONSE; MAJOR HISTOCOMPATIBILITY COMPLEX CLASS; MHC-II BINDING AFFINITY; OPTIMAL POSITION; OPTIMIZATION PROBLEMS; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PEPTIDE BINDING; PEPTIDE LENGTH; POSITION SPECIFIC SCORING MATRIX; PREDICTION MODEL; QUANTITATIVE METHOD; QUANTITATIVE PREDICTION; R VALUE; SEARCH STRATEGIES; T-CELL EPITOPES; T-CELL IMMUNITY;

BINDERS; BINDING ENERGY; FORECASTING; GENES; IMMUNOLOGY; MATHEMATICAL MODELS; PEPTIDES;

PARTICLE SWARM OPTIMIZATION (PSO);

EPITOPE; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 2;

ALGORITHM; ALLELE; ANTIGEN BINDING; ARTICLE; BINDING AFFINITY; CONTROLLED STUDY; HELPER CELL; IMMUNE RESPONSE; MAJOR HISTOCOMPATIBILITY COMPLEX; PEPTIDE ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROTEIN BINDING; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC;

ALGORITHMS; ANTIGENS; EPITOPES, T-LYMPHOCYTE; HISTOCOMPATIBILITY ANTIGENS CLASS II; HUMANS; PEPTIDES; POSITION-SPECIFIC SCORING MATRICES; PROTEIN BINDING; T-LYMPHOCYTES;

EID: 77957170615     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2010.05.003     Document Type: Article

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