Gapped sequence alignment using artificial neural networks: Application to the MHC class i system

Bioinformatics

Volumn 32, Issue 4, 2016, Pages 511-517

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

^a INSTITUTO DE INVESTIGACIONES BIOTECNOLÓGICAS   (Argentina)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

EPITOPE; HLA ANTIGEN CLASS 1; PEPTIDE FRAGMENT; PROTEIN BINDING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOLOGY; CHEMISTRY; HUMAN; METABOLISM; PROCEDURES; SEQUENCE ALIGNMENT;

ALGORITHMS; COMPUTATIONAL BIOLOGY; EPITOPES; HISTOCOMPATIBILITY ANTIGENS CLASS I; HUMANS; NEURAL NETWORKS (COMPUTER); PEPTIDE FRAGMENTS; PROTEIN BINDING; SEQUENCE ALIGNMENT;

EID: 84959881509     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv639     Document Type: Article

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