The efficiency and effectiveness of target selection and validation could be improved with accessible, standardized and integrated biological reference data sets. Such resources should be established through precompetitive approaches.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Bunnage, M. E. Getting pharmaceutical R&D back on target. Nature Chem. Biol. 7, 335–339 (2011).
Gonzalez-Porta, M. et al. Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene. Genome Biol. 14, R70 (2013).
Chindelevitch, L. et al. Causal reasoning on biological networks: interpreting transcriptional changes. Bioinformatics 28, 1114–1121 (2012).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
B.S., C.B. and A.G. are full-time employees of Pfizer.
L.H. and B.W.-J. are full-time employees of ConnectedDiscovery.
P.J. is a full-time employee of Novo Nordisk.
R.M. is a full-time employee of AstraZeneca.
D.M. is a full-time employee of GlaxoSmithKline.
H.S. and B.W. are full-time employees of Bayer Pharma.
M.W. is a full-time employee of MedImmune.
Rights and permissions
About this article
Cite this article
Sidders, B., Brockel, C., Gutteridge, A. et al. Precompetitive activity to address the biological data needs of drug discovery. Nat Rev Drug Discov 13, 83–84 (2014). https://doi.org/10.1038/nrd4230
Published:
Issue Date:
DOI: https://doi.org/10.1038/nrd4230
This article is cited by
-
Intellectual property policies in early-phase research in public–private partnerships
Nature Biotechnology (2016)