A peptide filtering relation quantifies MHC class I peptide optimization

PLoS Computational Biology

Volumn 7, Issue 10, 2011, Pages

  Dalchau, Neil ^a   Phillips, Andrew ^a   Goldstein, Leonard D ^b,f   Howarth, Mark ^c,d   Cardelli, Luca ^a   Emmott, Stephen ^a   Elliott, Tim ^c,e   Werner, Joern M ^e  

^a MICROSOFT RESEARCH   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CELL MEMBRANES; CYTOLOGY; DYNAMICAL SYSTEMS; GENES; MOLECULES; T-CELLS; VIRUSES;

CANCEROUS CELLS; CELL SURFACES; CLASS I; CYTOTOXIC T LYMPHOCYTES; DISEASE PROGRESSION; MAJOR HISTOCOMPATIBILITY COMPLEX CLASS; OPTIMISATIONS; PROTEIN FRAGMENTS; TAPASIN; VIRUS-INFECTED CELLS;

PEPTIDES;

MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; TAPASIN; VIRUS PROTEIN; HLA ANTIGEN CLASS 1; PEPTIDE;

ARTICLE; BINDING AFFINITY; BINDING COMPETITION; BINDING SITE; CELL SURFACE; COMPLEX FORMATION; CONTROLLED STUDY; FLOW CYTOMETRY; GENE; GENE FREQUENCY; HUMAN IMMUNODEFICIENCY VIRUS; MAJOR HISTOCOMPATIBILITY CLASS 1 GENE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; MOLECULAR INTERACTION; NONHUMAN; PEPTIDE OPRIMIZATION; PREDICTION; PROCESS OPTIMIZATION; PROTEIN BINDING; PROTEIN DETERMINATION; PROTEIN INDUCTION, SYNTHESIS AND MODIFICATION; QUANTITATIVE ANALYSIS; STEADY STATE; VALIDATION PROCESS; BAYES THEOREM; CHEMISTRY; HUMAN; IMMUNOLOGY; T LYMPHOCYTE; THEORETICAL MODEL;

HUMAN IMMUNODEFICIENCY VIRUS;

BAYES THEOREM; HISTOCOMPATIBILITY ANTIGENS CLASS I; HUMANS; MODELS, THEORETICAL; PEPTIDES; T-LYMPHOCYTES;

EID: 80055080759     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002144     Document Type: Article

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