Drug discovery in the age of systems biology: The rise of computational approaches for data integration

Current Opinion in Biotechnology

Volumn 23, Issue 4, 2012, Pages 609-616

  Iskar, Murat ^a   Zeller, Georg ^a   Zhao, Xing Ming ^a   van Noort, Vera ^a   Bork, Peer ^a,b  

^a EUROPEAN MOLECULAR BIOLOGY LABORATORY   (Germany)

^b MAX DELBRÜCK CENTER FOR MOLECULAR MEDICINE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CELL-BASED; CELLULAR RESPONSE; COMPLEX PROBLEMS; COMPUTATIONAL APPROACH; COMPUTATIONAL DATA; DATA INTEGRATION; DRUG ACTION; DRUG DISCOVERY; DRUG RESPONSE; DRUG TARGETS; LARGE-SCALE PREDICTION; MOLECULAR MECHANISM; OPEN ACCESS; REPURPOSING; SIDE EFFECT; SIGNIFICANT IMPACTS; SMALL MOLECULES; SYSTEMS BIOLOGY;

BIOTECHNOLOGY;

COMPUTATIONAL METHODS;

ADVERSE OUTCOME; BIOMEDICAL ENGINEERING; COMPLEX FORMATION; DRUG DEVELOPMENT; DRUG SAFETY; DRUG TARGETING; DRUG UTILIZATION; GENE EXPRESSION REGULATION; GENETIC TRANSCRIPTION; HUMAN; MATHEMATICAL MODEL; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; PROTEIN PROCESSING; PROTEIN TARGETING; PROTEOMICS; REVIEW; SYSTEMS BIOLOGY;

ANIMALS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DRUG DISCOVERY; HUMANS; PHARMACEUTICAL PREPARATIONS; PHARMACOKINETICS; PROTEOMICS; SYSTEMS BIOLOGY;

EID: 84864801155     PISSN: 09581669     EISSN: 18790429     Source Type: Journal    
DOI: 10.1016/j.copbio.2011.11.010     Document Type: Review

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