MHC-NP: Predicting peptides naturally processed by the MHC

Journal of Immunological Methods

Volumn 400-401, Issue 1, 2013, Pages 30-36

  Giguère, Sébastien ^a   Drouin, Alexandre ^a   Lacoste, Alexandre ^a   Marchand, Mario ^a   Corbeil, Jacques ^a   Laviolette, François ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

Epitope; Immunology; Kernel; Machine learning; MHC; Vaccinology

Indexed keywords

HLA A ANTIGEN; HLA A02 ANTIGEN; HLA B ANTIGEN; HLA B07 ANTIGEN; HLA B35 ANTIGEN; HLA B44 ANTIGEN; HLA B53 ANTIGEN; HLA B57 ANTIGEN; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 2; PEPTIDE; PEPTIDE B; PEPTIDE E; PEPTIDE N; UNCLASSIFIED DRUG;

ALGORITHM; ALLELE; ARTICLE; BINDING AFFINITY; BINDING SITE; GRAFT REJECTION; HUMAN; IMAGING SOFTWARE; IMMUNOLOGY; KERNEL METHOD; LEARNING ALGORITHM; MACHINE LEARNING; MAJOR HISTOCOMPATIBILITY COMPLEX; MHC NP TOOL; NONHUMAN; PEPTIDE ANALYSIS; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN PROTEIN INTERACTION; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 84888431681     PISSN: 00221759     EISSN: 18727905     Source Type: Journal    
DOI: 10.1016/j.jim.2013.10.003     Document Type: Article

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