The discovery of first-in-class drugs: origins and evolution
Abstract
Analysis of the origins of new drugs approved by the US Food and Drug Administration (FDA) from 1999 to 2008 suggested that phenotypic screening strategies had been more productive than target-based approaches in the discovery of first-in-class small-molecule drugs. However, given the relatively recent introduction of target-based approaches in the context of the long time frames of drug development, their full impact might not yet have become apparent. Here, we present an analysis of the origins of all 113 first-in-class drugs approved by the FDA from 1999 to 2013, which shows that the majority (78) were discovered through target-based approaches (45 small-molecule drugs and 33 biologics). In addition, of 33 drugs identified in the absence of a target hypothesis, 25 were found through a chemocentric approach in which compounds with known pharmacology served as the starting point, with only eight coming from what we define here as phenotypic screening: testing a large number of compounds in a target-agnostic assay that monitors phenotypic changes. We also discuss the implications for drug discovery strategies, including viewing phenotypic screening as a novel discipline rather than as a neoclassical approach.
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Identification of the molecular target and selection of a promising candidate from a list of toxic compounds remains a challenge for phenotypic screens.
“Still, identification of the molecular target and selection of a promising candidate from a list of toxic compounds remains a challenge for phenotypic screens (Eder et al., 2014).”
From Degradation of CCNK/CDK12 is a druggable vulnerability of colorectal cancer (2021) · cites this paper as Eder et al., 2014
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- Authors
- Eder, J., Sedrani, R., & Wiesmann, C.
- Affiliations
- Novartis (Switzerland) (CH)
- Corresponding author
- Eder, Jörg
- Venue
- Nature Reviews Drug Discovery
- Published
- 2014-07-18
- Volume
- 13
- Issue
- 8
- Pages
- 577-587
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W2060333462
- Cited by
- 514
- References
- 64
- Citations by year
- 2026: 29 · 2025: 28 · 2024: 49 · 2023: 39 · 2022: 36 · 2021: 50 · 2020: 54 · 2019: 48 · 2018: 36 · 2017: 52 · 2016: 48 · 2015: 37 · 2014: 8
- FWCI
- 4.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Drug Discovery (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Novartis Institutes for BioMedical Research
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Historical Medical Research and Treatments
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Keywords
- first-in-class drugs, drug discovery strategies, phenotypic screening, target-based drug discovery, small molecule drugs, biologics, FDA-approved drugs, drug development history
- MeSH terms
- Drug Industry, Drug Evaluation, Preclinical, Humans, Drug Approval, Systems Biology, History, 20th Century, History, 21st Century, Drug Discovery
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