Semantic similarity for automatic classification of chemical compounds

PLoS Computational Biology

Volumn 6, Issue 9, 2010, Pages

  Ferreira, João D ^a   Couto, Francisco M ^a  

^a UNIVERSITY OF LISBON   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

BIOACTIVITY; BRAIN; GLYCOPROTEINS; METABOLISM;

AUTOMATIC CLASSIFICATION; BLOOD-BRAIN BARRIER; COMPARISON METHODS; CORRELATION COEFFICIENT; ESTROGEN RECEPTOR BINDING; P-GLYCOPROTEIN; PHYSICOCHEMICAL PROPERTY; SEMANTIC SIMILARITY; STRUCTURAL COMPARISON; STRUCTURE-ACTIVITY RELATIONSHIPS;

SEMANTICS;

3',4',7 TRIHYDROXYISOFLAVONE; ADINAZOLAM; AKLAVINONE; CHEMICAL COMPOUND; CHLORPROTHIXENE; DONEPEZIL; ESTROGEN RECEPTOR; GALANGIN; GLYCOPROTEIN P; GUANINE NUCLEOTIDE EXCHANGE FACTOR; GUANOSINE TRIPHOSPHATASE; LOBELINE; MIANSERIN; PROTEIN SERINE THREONINE KINASE; PROTEIN TYROSINE KINASE; RAS PROTEIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD BRAIN BARRIER; CHEMICAL ANALYSIS; CHEMICAL STRUCTURE; CONTROLLED STUDY; CORRELATION COEFFICIENT; ENZYME ACTIVITY; ENZYME REGULATION; FEASIBILITY STUDY; PHARMACOPHORE; PHYSICAL CHEMISTRY; PREDICTION; PROTEIN FUNCTION; PROTEIN PHOSPHORYLATION; RANDOM FOREST; SEMANTICS; SIGNAL TRANSDUCTION; STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE; VALIDATION STUDY;

EID: 78049446066     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000937     Document Type: Article

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