title: Applying Dataflow Architecture and Visualization Tools to In Vitro Pharmacology Data Automation.
abstract: The pace and complexity of modern drug discovery places ever-increasing demands on scientists for data analysis and interpretation. Data flow programming and modern visualization tools address these demands directly. Three different requirements-one for allosteric modulator analysis, one for a specialized clotting analysis, and one for enzyme global progress curve analysis-are reviewed, and their execution in a combined data flow/visualization environment is outlined.
authors: In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA david.pechter@merck.com.
authors: David
authors: D
authors: Pechter
authors: In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA.
authors: Serena
authors: S
authors: Xu
authors: In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA.
authors: Marc
authors: M
authors: Kurtz
authors: In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA.
authors: Steven
authors: S
authors: Williams
authors: In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA.
authors: Lisa
authors: L
authors: Sonatore
authors: In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA.
authors: Artjohn
authors: A
authors: Villafania
authors: In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA.
authors: Sony
authors: S
authors: Agrawal
mesh_terms: D003625:Data Collection; D003627:Data Interpretation, Statistical; D055808:Drug Discovery / Q000379:methods*; D001330:Electronic Data Processing / Q000379:methods*; D010600:Pharmacology / Q000379:methods*; D013223:Statistics as Topic / Q000379:methods*
keywords: Spotfire; allosterism; data automation; data flow