Diagnosing the decline in pharmaceutical R&D efficiency
By J. Scannell, Alex Blanckley, Helen Boldon, B. Warrington. Nature reviews. Drug discovery, 2012
1,886 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Economics and Econometrics, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/ef4416cc5e8f9e0776bf85be25d0f8e2b71102fb
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In Computational Theory and Mathematics
- Thomas Unterthiner
- A. Zhavoronkov
- Andreas Mayr
- Olivier Elemento
- Ruth Nussinov
- Peter Csermely
- Huba J. M. Kiss
- Tamás Korcsmáros
In Economics and Econometrics
- Ruth Nussinov
- Bhavna Josephine Antony
- Peter Csermely
- Pratik Shah
- Huba J. M. Kiss
- Tamás Korcsmáros
- Velibor V. Misic
- Stefan Harrer
In Public Health, Environmental and Occupational Health
Citations in the corpus
- Discovery and resupply of pharmacologically active plant-derived natural products: A review (2015, background): “The obtained results, however, did not meet the expectations as evident in a declining number of new drugs reaching the market (David et al., 2015; Kingston, 2011; Scannell et al., 2012).”
- A data-driven approach to predicting successes and failures of clinical trials (2016, background): “This is occurring despite improvements in all stages of the drug development pipeline (Scannell et al., 2012).”
- Regulated cell death (RCD) in cancer: key pathways and targeted therapies (2022, background): “MOA is of great significance in evaluating the efficacy and toxicity of compounds.(376) A study found that altretamine is a new GPX4 inhibitor similar to sulfasalazine through the prediction-based MOA analysis of detecting mechanism of action by network dysregulation (demand) and combined with exper”
- Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “However, it is worth to note that looking only at the number of new drugs without considering their therapeutic value omits an important factor in the analysis (Austin, 2006; Overington et al., 2006; Chong & Sullivan, 2007; Bunnage, 2011; Edwards et al., 2011; Scannell et al., 2012).”
- Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design (2023, background): “The global outbreak of COVID-19 has caused significant disruptions to various operations worldwide, including ongoing clinical trials (Chavda, et al, 2023).”
- Artificial Intelligence for Clinical Trial Design. (2019, background): “Although pharma and biotechnology companies have continuously increased R&D investment for decades, the number of new drugs gaining regulatory approval per billion USD spent has halved approximately every 9 years [1].”
- Systematic integration of biomedical knowledge prioritizes drugs for repurposing (2017, background): “mal strategy from both a business and public health perspective (Scannell et al., 2012).”