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Merck

Integration of diverse data sources for prediction of adverse drug events.

Clinical pharmacology and therapeutics (2011-10-21)
D R Abernethy, J P F Bai, K Burkhart, H-G Xie, P Zhichkin
要旨

The rapid evolution of large biological, pharmacological, and chemical databases has led to optimism that such data resources can be leveraged for prediction of drug action based on molecular descriptors of the drug. Challenges to realize this possibility include organization of each type of database in a manner that allows extraction of information across disparate data sources and the linkage of information across the biological, pharmacological, and chemical domains.

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製品内容

Supelco
シクロベンザプリン 塩酸塩 溶液, 1.0 mg/mL in methanol (as free base), ampule of 1 mL, certified reference material, Cerilliant®
Sigma-Aldrich
シクロベンザプリン 塩酸塩
シクロベンザプリン 塩酸塩, European Pharmacopoeia (EP) Reference Standard