Targeting intrinsically disordered proteins at the edge of chaos
Abstract
Intrinsically disordered proteins or intrinsically disordered regions (IDPs or IDRs) are those that do not fold into defined tertiary structures under physiological conditions. Given their prevalence in various diseases, IDPs are attractive therapeutic targets. However, because of the dynamic nature of the IDP structure, conventional structure-based drug design methods cannot be directly applied. Thanks to recent progress in understanding the mechanisms underlying IDP and ligand interactions, computational strategies for IDP-targeted rational drug discovery are emerging. Here, we summarize recent developments in computational IDP drug design strategies and their successful applications, analyze the typical properties of reported IDP-binding compounds (iIDPs), and discuss the major challenges ahead as well as possible solutions.
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Disordered proteins and regions are characterized by broad and heterogeneous ensembles with small differences in relative conformational stabilities and low barriers.
“Disordered proteins (regions) are characterized by broad and heterogeneous ensembles where the differences in the relative conformational stabilities are small, or even minor and the barriers are low.”
From AlphaFold, Artificial Intelligence (AI), and Allostery (2022) · cites this paper as [134]
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References 86 · Cited by 133
- Authors
- Ruan, H., Sun, Q., Zhang, W., Liu, Y., & Lai, L.
- Affiliations
- Peking University (CN)
- Corresponding author
- Lai, Luhua
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 24
- Issue
- 1
- Pages
- 217-227
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2893323080
- Cited by
- 133
- References
- 86
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 16 · 2023: 20 · 2022: 21 · 2021: 12 · 2020: 22 · 2019: 17
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Drug Discovery Today (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (21633001)
- Ministry of Science and Technology of China (2016YFA0502303, 2015CB910300)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- intrinsically disordered proteins, intrinsically disordered regions, rational drug discovery
- MeSH terms
- Animals, Humans, Ligands, Drug Design, Drug Discovery, Intrinsically Disordered Proteins
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