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The Design of Covalent Allosteric Drugs
Abstract
A key issue in drug discovery is how to reduce drug dosage and increase specificity while retaining or increasing efficacy, as high dosage is often linked to toxicity. There are two types of drugs on the market: orthosteric and allosteric. Orthosteric drugs can be noncovalent or covalent. The latter are advantageous because they may be prescribed in lower doses, but their potential off-target toxicity is a primary concern. The chief advantages of allosteric drugs are their higher specificity and their consequently lower chance of toxic side effects. Covalent allosteric drugs combine the pharmacological merits of covalent drugs with the additional benefit of the higher specificity of allosteric drugs. In a recent promising step in therapeutic drug development, allosteric, disulfide-tethered fragments successfully modulated the activity of a protein kinase and K-Ras.
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“Due to its higher specificity and consequently lower toxicity, which results from targeting nonconserved allosteric sites, allostery also increasingly features in allosteric drugs.”
From AlphaFold, Artificial Intelligence (AI), and Allostery (2022) · cites this paper as [120]
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Targeted Covalent Inhibitors for Drug Design
Baillie, T. A. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201601091 · Cited by 578
Ras Conformational Ensembles, Allostery, and Signaling
Lu, S., Jang, H., Muratcioglu, S., Gursoy, A., Keskin, O., Nussinov, R., & Zhang, J. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00542 · Cited by 355
Self-citationAlphaFold, Artificial Intelligence (AI), and Allostery
Nussinov, R., Zhang, M., Liu, Y., & Jang, H. (2022) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.2c04346 · Cited by 190
Self-citationPI3K inhibitors: review and new strategies
Zhang, M., Jang, H., & Nussinov, R. (2020) · Chemical Science · doi:10.1039/d0sc01676d · Cited by 184
Self-citationLu, S., Shen, Q., & Zhang, J. (2019) · Accounts of Chemical Research · doi:10.1021/acs.accounts.8b00570 · Cited by 166
Metadata
- Authors
- Nussinov, R., & Tsai, C.-J.
- Affiliations
- Tel Aviv University (IL)
- Frederick National Laboratory for Cancer Research (US)
- Venue
- Annual Review of Pharmacology and Toxicology
- Publisher
- Annual Reviews
- Published
- 2015-01-06
- Volume
- 55
- Issue
- 1
- Pages
- 249-267
- ISSN
- 0362-1642 (ISSN-L)
- 1545-4304
- OpenAlex
- W2101700924
- Cited by
- 112
- References
- 105
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 6 · 2023: 8 · 2022: 10 · 2021: 15 · 2020: 10 · 2019: 11 · 2018: 5 · 2017: 10 · 2016: 15 · 2015: 10
- FWCI
- 0.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Annual Review of Pharmacology and Toxicology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- U.S. Public Health Service (HHSN261200800001E)
- National Cancer Institute
- Topics
- Physical Sciences › Chemistry › Organic Chemistry › Click Chemistry and Applications
- Physical Sciences › Chemistry › Organic Chemistry › Chemical Synthesis and Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
- Keywords
- allosteric drug design, drug specificity, off-target toxicity, KRAS, drug dosage reduction
- MeSH terms
- Allosteric Regulation, Animals, Binding Sites, Enzyme Inhibitors, Humans, Kinetics, Models, Molecular, Protein Binding, Protein Conformation, Structure-Activity Relationship, Drug Design, Molecular Structure, Signal Transduction, Computer-Aided Design, Enzyme Activators, Drug-Related Side Effects and Adverse Reactions
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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