Predicting protein-peptide binding affinity by learning peptide-peptide distance functions

Lecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science)

Volumn 3500, Issue , 2005, Pages 456-471

  Yanover, Chen ^a   Hertz, Tomer ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CYTOLOGY; FUNCTIONS; POLYPEPTIDES; TOXICITY; TUMORS; AMINO ACIDS; BINDING ENERGY; COMPUTATIONAL METHODS; FUNCTION EVALUATION; LEARNING ALGORITHMS; PROTEINS; SURFACE REACTIONS;

PEPTIDE; SEMI-SUPERVISED DISTANCE LEARNING;

PROTEINS; CELL MEMBRANES;

CELLULAR RESPONSE MECHANISMS; DISTBOOST PERFORMANCE GAIN; MAJOR HISTOCOMPATIBILITY COMPLEXES (MHC); PROTEIN-PEPTIDE BINDING AFFINITY;

EID: 26444518809     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11415770_34     Document Type: Conference Paper

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