Attractors in sequence space: Agent-based exploration of MHC I binding peptides

Molecular Informatics

Volumn 29, Issue 1-2, 2010, Pages 65-74

  Jäger, Natalie ^a   Wisniewska, Joanna M ^a   Hiss, Jan A ^a,c   Freier, Anja ^b   Losch, Florian O ^b   Walden, Peter ^b   Wrede, Paul ^b   Schneider, Gisbert ^b,c  

^a GOETHE UNIVERSITY   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^c ETH ZURICH   (Switzerland)

Author keywords

Ant colony optimization; Histocompatibility; Immunology; Machine learning; Peptide design; Peptides

Indexed keywords

ANT COLONY OPTIMIZATION; CELL CULTURE; COMBINATORIAL OPTIMIZATION; CONFORMAL MAPPING; DESIGN; FEEDFORWARD NEURAL NETWORKS; LEARNING SYSTEMS; PEPTIDES;

AGENT BASED; ANT COLONIES; BINDING PEPTIDE; COMBINATORIAL OPTIMIZATION PROBLEMS; HISTOCOMPATIBILITY; MACHINE-LEARNING; METAHEURISTIC; PEPTIDE DESIGN; SELF-ORGANIZING-MAPS; SEQUENCE SPACE;

SELF ORGANIZING MAPS;

MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; OCTAPEPTIDE; PEPTIDE DERIVATIVE; PHEROMONE DERIVATIVE; RECEPTOR PROTEIN;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL ASSAY; CELL MEMBRANE; CLASSIFIER; LYMPHOMA CELL; PRIORITY JOURNAL; PROCESS DESIGN; PROCESS OPTIMIZATION; PROTEIN BINDING; PROTEIN STABILITY; RECEPTOR BINDING;

FORMICIDAE; MURINAE;

EID: 77952664270     PISSN: 18681743     EISSN: 18681751     Source Type: Journal    
DOI: 10.1002/minf.200900008     Document Type: Article

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