In silico prediction of peptide-MHC binding affinity using SVRMHC.

Methods in molecular biology (Clifton, N.J.)

Volumn 409, Issue , 2007, Pages 283-291

  Liu, Wen ^a   Wan, J ^a   Meng, Xiangshan ^a   Flower, Darren R ^a   Li, Tongbin ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EPITOPE; HLA ANTIGEN CLASS 1; HLA ANTIGEN CLASS 2; PEPTIDE;

ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CHEMISTRY; HUMAN; IMMUNOGENETICS; IMMUNOLOGY; MAJOR HISTOCOMPATIBILITY COMPLEX; METABOLISM; PROTEIN BINDING;

ANIMALS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; EPITOPES; HISTOCOMPATIBILITY ANTIGENS CLASS I; HISTOCOMPATIBILITY ANTIGENS CLASS II; HUMANS; IMMUNOGENETICS; MAJOR HISTOCOMPATIBILITY COMPLEX; PEPTIDES; PROTEIN BINDING;

MLCS; MLOWN;

EID: 44649155161     PISSN: 10643745     EISSN: None     Source Type: Journal    
DOI: 10.1007/978-1-60327-118-9_20     Document Type: Article

References (0)