| Literature DB >> 27063506 |
Christian Kramer1, Göran Dahl2, Christian Tyrchan3, Johan Ulander4.
Abstract
Analysis of data from various compounds measured in diverse biological assays is a central part of drug discovery research projects. However, no systematic overview of the variability in biological assays has been published and judgments on assay quality and robustness of data are often based on personal belief and experience within the drug discovery community. To address this we performed a reproducibility analysis of all biological assays at AstraZeneca between 2005 and 2014. We found an average experimental uncertainty of less than a twofold difference and no technologies or assay types had higher variability than others. This work suggests that robust data can be obtained from the most commonly applied biological assays.Mesh:
Year: 2016 PMID: 27063506 DOI: 10.1016/j.drudis.2016.03.015
Source DB: PubMed Journal: Drug Discov Today ISSN: 1359-6446 Impact factor: 7.851