How were new medicines discovered?
By David C. Swinney, J. Anthony. Nature reviews. Drug discovery, 2011
1,693 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/af66797c801ad40e70f5d3b5674d7947fdce8ca3
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In Computational Theory and Mathematics
- Anna Gaulton
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- Michael M. Bronstein
- Jie Li
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In Molecular Biology
- Juan C. Caicedo
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In Public Health, Environmental and Occupational Health
Citations in the corpus
- Natural product discovery: past, present, and future (2016, background): “Yet less than two dozen novel NPs, their-semi-synthetic or completely synthetic derivatives that were discovered during this period were developed as drugs [114].”
- Large‐scale image‐based screening and profiling of cellular phenotypes (2017, background): “A survey of the new drugs approved between 1999 and 2008 found that most of the first-in-class small-molecule drugs were discovered through phenotypic screening (31).”
- Utilizing graph machine learning within drug discovery and development (2021, background): “Without the bias from having a known target, PDD has yielded many first-in-class drugs with novel mechanisms of action [168].”
- Applications in image-based profiling of perturbations. (2016, background): “High-content screening is becoming more widespread in recent years, in part due to the realization that screens based on cellular phenotypes are on average more fruitful than higher-throughput but less physiological screens on isolated protein targets [31,32].”
- The design and development of covalent protein-protein interaction inhibitors for cancer treatment (2020, background): “Secondly, the biological target does not have to be known before screening [81].”
- From Three-Dimensional Cell Culture to Organs-on-Chips (2011, background): “The chemical and cosmetics industries are facing similar challenges, and they too are seeking alternative in vitro methods that are more predictive of clinical outcomes [79].”
- Review of Drug Repositioning Approaches and Resources (2018, background): “In addition to computational approaches, experimental approaches that give direct evidence of links between drugs and diseases were developed, such as target screening approaches [87-91], cell assay approaches [92-95], animal model approaches [96-99] and clinical approaches [49].”
- Discovery and resupply of pharmacologically active plant-derived natural products: A review (2015, result): “The surprising result of this analysis led the authors to postulate that a target-centric approach for first-in-class drugs may significantly contribute to the current high attrition rates and low productivity in pharmaceutical research and development (Swinney and Anthony, 2011).”