Journal Article

The impact of data integrity on decision making in early lead discovery

Seeliger, Daniel, Beck, Bernd, Kriegl, Jan M.

2015

Overview

Data driven decision making is a key element of today’s pharmaceutical research, including early drug discovery. It comprises questions like which target to pursue, which chemical series to pursue, which compound to make next, or which compound to select for advanced profiling and promotion to pre-clinical development. In the following paper we will exemplify how data integrity, i.e. the context data is generated in and auxiliary information that is provided for individual result records, can influence decision making in early lead discovery programs. In addition we will describe some approaches which we pursue at Boehringer Ingelheim to reduce the risk for getting misguided.

• Publisher: Springer International Publishing,Springer Nature B.V
• Subject: Animal Anatomy / Chemistry / Chemistry and Materials Science / Chemistry, Pharmaceutical - methods / Chemistry, Pharmaceutical - standards / Chemistry, Pharmaceutical - statistics & numerical data / Computer aided design / Computer Applications in Chemistry / Computer Simulation / Data Accuracy / Data integrity / Databases, Factual / Decision Making / Drug Discovery / Drug Industry - methods / Drug Industry - organization & administration / Drug Industry - standards / Drugs / False Positive Reactions / High-Throughput Screening Assays - methods / High-Throughput Screening Assays - standards / Histology / Inhibitory Concentration 50 / Integrity / Magnetic Resonance Spectroscopy / Mass Spectrometry - standards / Morphology / Pharmaceutical sciences / Pharmaceuticals / Physical Chemistry / Profiling / Promotion / Risk / Risk reduction