Utilizing shared interacting domain patterns and Gene Ontology information to improve protein-protein interaction prediction

Computers in Biology and Medicine

Volumn 40, Issue 6, 2010, Pages 555-564

  Roslan, Rosfuzah ^a   Othman, Razib M ^a   Shah, Zuraini A ^a   Kasim, Shahreen ^a   Asmuni, Hishammuddin ^a   Taliba, Jumail ^a   Hassan, Rohayanti ^a   Zakaria, Zalmiyah ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

False positive filtration; Gene Ontology; Interaction rules; Protein protein interaction prediction; Shared interacting domain patterns

Indexed keywords

DOMAIN PATTERN; FALSE POSITIVE; FALSE POSITIVE FILTRATION; GENE ONTOLOGY; INTERACTION RULES; PROTEIN-PROTEIN INTERACTIONS;

FORECASTING; LAWS AND LEGISLATION; ONTOLOGY; SIGNAL TO NOISE RATIO;

PROTEINS;

ARTICLE; BIOINFORMATICS; COMPUTER PREDICTION; FALSE POSITIVE RESULT; NONHUMAN; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DOMAIN; PROTEIN FUNCTION; PROTEIN PROTEIN INTERACTION; SACCHAROMYCES CEREVISIAE; SIGNAL DETECTION;

ALGORITHMS; ANIMALS; CAENORHABDITIS ELEGANS PROTEINS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DROSOPHILA PROTEINS; HUMANS; MODELS, STATISTICAL; PROTEIN INTERACTION DOMAINS AND MOTIFS; PROTEIN INTERACTION MAPPING; PROTEINS; SACCHAROMYCES CEREVISIAE PROTEINS; TERMINOLOGY AS TOPIC;

EID: 77953360440     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2010.03.009     Document Type: Article

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