Applying Dataflow Architecture and Visualization Tools to In Vitro Pharmacology Data Automation

David Pechter; Serena Xu; Marc Kurtz; Steven Williams; Lisa Sonatore; Artjohn Villafania; Sony Agrawal

doi:10.1177/2211068216630934

Applying Dataflow Architecture and Visualization Tools to In Vitro Pharmacology Data Automation

J Lab Autom. 2016 Dec;21(6):817-823. doi: 10.1177/2211068216630934. Epub 2016 Feb 4.

Authors

David Pechter¹, Serena Xu², Marc Kurtz², Steven Williams², Lisa Sonatore², Artjohn Villafania², Sony Agrawal²

Affiliations

¹ In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA [email protected].
² In Vitro Pharmacology, Merck Research Laboratories, Kenilworth, NJ, USA.

PMID: 26846143
DOI: 10.1177/2211068216630934

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.

Keywords: Spotfire; allosterism; data automation; data flow.

MeSH terms

Data Collection*
Data Interpretation, Statistical*
Drug Discovery / methods*
Electronic Data Processing / methods*
Pharmacology / methods*
Statistics as Topic / methods*