Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework
By David Cook, D. Brown, R. Alexander, R. March, Paul Morgan, Gemma Satterthwaite, M. Pangalos. Nature reviews. Drug discovery, 2014
1,198 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Economics and Econometrics, Immunology
View Paper: https://www.semanticscholar.org/paper/7578d81b9f4a359b6cc577a27a275f9a2acb9b47
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- J. Sáez-Rodríguez
- Michael P. Menden
- Mathew Garnett
- Oliver Stegle
- Ewan Birney
- Cyril H. Benes
- Anna Gaulton
- Ultan McDermott
In Economics and Econometrics
In Immunology
Citations in the corpus
- Toxicity Testing in the 21st Century Beyond Environmental Chemicals (2015, background): “On the other hand, detecting target organ toxicity continues to be a challenge (Cook et al., 2014; Horner et al., 2014).”
- Nanoparticle-based drug delivery systems: a commercial and regulatory outlook as the field matures (2017, background): “In general, safety failure is the predominant reason of study termination at this stage [62,63].”
- Open Targets Platform: new developments and updates two years on (2018, background): “These databases can be used to assist with target identification, one of the most important stages in drug discovery (2).”
- Open Targets: a platform for therapeutic target identification and validation (2016, background): “Indeed drug development programs that have supporting genetic information are more likely to proceed into the final stages (3,10).”
- A Landscape of Pharmacogenomic Interactions in Cancer (2016, background): “Clinical trials are complex and expensive, and pre-clinical data that helps stratify patients can dramatically increase the likelihood of success during clinical development (Cook et al., 2014; Nelson et al., 2015).”
- Biology-inspired Microphysiological System Approaches to Solve the Prediction Dilemma of Substance Testing (2016, neutral): “Despite intense preclinical safety testing in a number of phase I trials, safety issues may arise which can lead to the termination of a program (Cook et al., 2014; Schuster et al., 2005).”