The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Twenty years on: the impact of fragments on drug discovery
Abstract
After 20 years of sometimes quiet growth, fragment-based drug discovery (FBDD) has become mainstream. More than 30 drug candidates derived from fragments have entered the clinic, with two approved and several more in advanced trials. FBDD has been widely applied in both academia and industry, as evidenced by the large number of papers from universities, non-profit research institutions, biotechnology companies and pharmaceutical companies. Moreover, FBDD draws on a diverse range of disciplines, from biochemistry and biophysics to computational and medicinal chemistry. As the promise of FBDD strategies becomes increasingly realized, now is an opportune time to draw lessons and point the way to the future. This Review briefly discusses how to design fragment libraries, how to select screening techniques and how to make the most of information gleaned from them. It also shows how concepts from FBDD have permeated and enhanced drug discovery efforts.
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“Fragment-based ligand discovery (FBLD) has emerged as a versatile approach for the discovery of atom-efficient, small-molecule binders for a wide range of proteins10–12.”
From Expedited mapping of the ligandable proteome using fully functionalized enantiomeric probe pairs (2019) · cites this paper as [12]
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Cites
Baell, J. B., & Holloway, G. A. (2010) · Journal of Medicinal Chemistry · doi:10.1021/jm901137j · Cited by 4,196
An inhibitor of Bcl-2 family proteins induces regression of solid tumours
Oltersdorf, T., Elmore, S. W., Shoemaker, A. R., Armstrong, R. C., Augeri, D. J., Belli, B., Bruncko, M., Deckwerth, T. L., Dinges, J., Hajduk, P. J., et al. (2005) · Nature · doi:10.1038/nature03579 · Cited by 3,407
Self-citationABT-199, a potent and selective BCL-2 inhibitor, achieves antitumor activity while sparing platelets
Souers, A. J., Leverson, J. D., Boghaert, E. R., Ackler, S. L., Catron, N. D., Chen, J., Dayton, B. D., Ding, H., Enschede, S. H., Fairbrother, W. J., et al. (2013) · Nature Medicine · doi:10.1038/nm.3048 · Cited by 3,058
K-Ras(G12C) inhibitors allosterically control GTP affinity and effector interactions
Ostrem, J. M., Peters, U., Sos, M. L., Wells, J. A., & Shokat, K. M. (2013) · Nature · doi:10.1038/nature12796 · Cited by 2,557
Discovering High-Affinity Ligands for Proteins: SAR by NMR
Shuker, S. B., Hajduk, P. J., Meadows, R. P., & Fesik, S. W. (1996) · Science · doi:10.1126/science.274.5292.1531 · Cited by 2,045
Self-citationCrystal structure of the human β2 adrenergic G-protein-coupled receptor
Rasmussen, S. G. F., Choi, H., Rosenbaum, D. M., Kobilka, T. S., Thian, F. S., Edwards, P. C., Burghammer, M. C., Ratnala, V. R. P., Sanishvili, R., Fischetti, R. F., et al. (2007) · Nature · doi:10.1038/nature06325 · Cited by 1,935
Ligand efficiency: a useful metric for lead selection
Hopkins, A. L., Groom, C. R., & Alex, A. (2004) · Drug Discovery Today · doi:10.1016/s1359-6446(04)03069-7 · Cited by 1,895
Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17
Ruddigkeit, L., van Deursen, R., Blum, L. C., & Reymond, J.-L. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci300415d · Cited by 1,505
A ‘Rule of Three’ for fragment-based lead discovery?
Congreve, M., Carr, R. A. E., Murray, C. W., & Jhoti, H. (2003) · Drug Discovery Today · doi:10.1016/s1359-6446(03)02831-9 · Cited by 1,415
Self-citationStructure of a β1-adrenergic G-protein-coupled receptor
Warne, T., Serrano‐Vega, M. J., Baker, J. G., Moukhametzianov, R., Edwards, P. C., Henderson, R. A., Leslie, A. G. W., Tate, C. G., & Schertler, G. F. X. (2008) · Nature · doi:10.1038/nature07101 · Cited by 1,377
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Research works printed but not linked: 1
- Woolford, A. J. Experiences with fragment libraries at Astex. Presented at the Fragment-based Lead Discovery (FBLD) Conference. (2014).
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Induced protein degradation: an emerging drug discovery paradigm
Lai, A. C., & Crews, C. M. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.211 · Cited by 1,486
PROteolysis TArgeting Chimeras (PROTACs) — Past, present and future
Pettersson, M., & Crews, C. M. (2019) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2019.01.002 · Cited by 830
AKT as a Therapeutic Target for Cancer
Song, M., Bode, A. M., Dong, Z., & Lee, M. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-2738 · Cited by 802
Expanding the medicinal chemistry synthetic toolbox
Boström, J., Brown, D. G., Young, R., & Keserű, G. (2018) · Nature reviews. Drug discovery · doi:10.1038/nrd.2018.116 · Cited by 498
A systematic analysis of atomic protein–ligand interactions in the PDB
de Freitas, R. F., & Schapira, M. (2017) · MedChemComm · doi:10.1039/c7md00381a · Cited by 644
Metadata
- Authors
- Erlanson, D. A., Fesik, S. W., Hubbard, R. E., Jahnke, W., & Jhoti, H.
- Affiliations
- Carmot Therapeutics (United States) (US)
- Vanderbilt University (US)
- Vernalis (R&D) Limited (United Kingdom) (GB)
- Novartis (Switzerland) (CH)
- Corresponding author
- Erlanson, Daniel A.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2016-07-15
- Volume
- 15
- Issue
- 9
- Pages
- 605-619
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W2467779447
- Cited by
- 1,000
- References
- 110
- Citations by year
- 2026: 80 · 2025: 92 · 2024: 112 · 2023: 95 · 2022: 97 · 2021: 106 · 2020: 141 · 2019: 79 · 2018: 99 · 2017: 84 · 2016: 14
- FWCI
- 7.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Drug Discovery (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Physical Sciences › Chemistry › Organic Chemistry › Chemical Synthesis and Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- fragment-based drug discovery, fragment libraries, fragment screening
- MeSH terms
- Clinical Trials as Topic, Humans, Peptide Fragments, Protein Conformation, Peptide Library, Computational Biology, Small Molecule Libraries, Drug Discovery, High-Throughput Screening Assays
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