Mining connections between chemicals, proteins, and diseases extracted from Medline annotations

Journal of Biomedical Informatics

Volumn 43, Issue 4, 2010, Pages 510-519

  Baker, Nancy C ^a,b   Hemminger, Bradley M ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b University of North Carolina   (United States)

Author keywords

Drug discovery; Literature based discovery; Text mining

Indexed keywords

BIOLOGICAL ACTIVITIES; BIOMEDICAL LITERATURE; CALCULATING PRECISION; DATA SOURCE; DRUG DISCOVERY; DRUG RESEARCH; MEDLINE; PROTEIN ANNOTATION; RETINOIC ACIDS; TEXT MINING; VALPROIC ACID;

ACIDS; BIOACTIVITY; DATABASE SYSTEMS; INDICATORS (CHEMICAL); MAGNESIUM; NITRIC OXIDE; ZINC;

PROTEINS;

COLCHICINE; COPPER; CORTICOSTERONE; CYCLIC GMP; CYSTEINE; EDETIC ACID; GENISTEIN; LEAD; MAGNESIUM; NICOTINE; NITRIC OXIDE; PREDNISOLONE; PROTEIN; RETINOIC ACID; SODIUM; VALPROIC ACID; ZINC;

ACCURACY; ARTICLE; BIOLOGICAL ACTIVITY; CHEMICAL LABELING; CHEMICALS AND DRUGS; DATA EXTRACTION; DISEASE ASSOCIATION; DRUG RESEARCH; MEDLINE; MIGRAINE; PRIORITY JOURNAL; RECALL; CHEMISTRY; DATA MINING; DRUG DEVELOPMENT; METABOLISM; MIGRAINE DISORDERS; NATURAL LANGUAGE PROCESSING; PROCEDURES; UNITED STATES;

DATA MINING; DRUG DISCOVERY; MEDLINE; MIGRAINE DISORDERS; NATURAL LANGUAGE PROCESSING; PROTEINS; TRETINOIN; UNITED STATES; ZINC;

EID: 77954142043     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2010.03.008     Document Type: Article

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