NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets

Genome Medicine

Volumn 8, Issue 1, 2016, Pages

  Nielsen, Morten ^a,b   Andreatta, Massimo ^a  

^a INSTITUTO DE INVESTIGACIONES BIOTECNOLÓGICAS   (Argentina)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

LIGAND; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; CELL SURFACE RECEPTOR; EPITOPE; HLA ANTIGEN CLASS 1; PEPTIDE; PROTEIN BINDING;

ACCURACY; ALGORITHM; ALLELE; ANTIGEN BINDING; ARTICLE; COMPUTER PROGRAM; INTERNET; MACHINE LEARNING; NETMHCPAN 3.0; PREDICTION; PRIORITY JOURNAL; BIOLOGY; CYTOTOXIC T LYMPHOCYTE; GENETICS; IMMUNOLOGY; INFORMATION PROCESSING; METABOLISM; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SOFTWARE;

ALLELES; COMPUTATIONAL BIOLOGY; DATASETS AS TOPIC; EPITOPES, T-LYMPHOCYTE; HISTOCOMPATIBILITY ANTIGENS CLASS I; LIGANDS; PEPTIDES; PROTEIN BINDING; RECEPTORS, CELL SURFACE; ROC CURVE; SOFTWARE; T-LYMPHOCYTES, CYTOTOXIC;

EID: 84962905590     PISSN: None     EISSN: 1756994X     Source Type: Journal    
DOI: 10.1186/s13073-016-0288-x     Document Type: Article

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