Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model

BMC Bioinformatics

Volumn 11, Issue , 2010, Pages

  Bordner, Andrew J ^a   Mittelmann, Hans D ^b  

^a MAYO CLINIC   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE IMMUNE RESPONSE; AUTOIMMUNE DISORDER; BINDING AFFINITIES; EXPERIMENTAL CHARACTERIZATION; PARAMETER CONSTRAINTS; PEPTIDE FRAGMENTS; PREDICTION METHODS; THERMODYNAMIC MODEL;

BINDING ENERGY; ENZYME ACTIVITY; FORECASTING;

PEPTIDES;

PEPTIDE;

ARTICLE; BINDING SITE; BIOLOGY; CHEMISTRY; GENE; METABOLISM; METHODOLOGY; PROTEIN DATABASE; THERMODYNAMICS;

BINDING SITES; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; GENES, MHC CLASS II; PEPTIDES; THERMODYNAMICS;

EID: 77649176463     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-41     Document Type: Article

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