Prediction of protein function using protein-protein interaction data

Proceedings - IEEE Computer Society Bioinformatics Conference, CSB 2002

Volumn , Issue , 2002, Pages 197-206

  Deng, Minghua ^a   Zhang, Kui ^a   Mehta, S ^a   Chen, Ting ^a   Sun, Fengzhu ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BIOINFORMATICS; FORECASTING; MARKOV PROCESSES; PROBABILITY; YEAST;

BAYESIAN APPROACHES; FUNCTION PREDICTION; FUNCTIONAL ANNOTATION; MARKOV RANDOM FIELDS; PREDICTION OF PROTEIN FUNCTION; PROTEIN ANNOTATION; PROTEIN INTERACTION; PROTEIN-PROTEIN INTERACTIONS;

PROTEINS;

FUNGAL PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; BINDING SITE; BIOLOGICAL MODEL; CHEMICAL MODEL; CHEMISTRY; CLASSIFICATION; EVALUATION; METABOLISM; METHODOLOGY; MOLECULAR GENETICS; PROBABILITY; PROTEIN ANALYSIS; PROTEIN BINDING; SEQUENCE ANALYSIS; STATISTICAL MODEL; STRUCTURE ACTIVITY RELATION;

AMINO ACID SEQUENCE; BINDING SITES; FUNGAL PROTEINS; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, CHEMICAL; MODELS, STATISTICAL; MOLECULAR SEQUENCE DATA; PROTEIN BINDING; PROTEIN INTERACTION MAPPING; SEQUENCE ANALYSIS, PROTEIN; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 18244386985     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSB.2002.1039342     Document Type: Conference Paper

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