Structure-based prediction of protein allostery
Open accessAbstract
Allostery is the functional change at one site on a protein caused by a change at a distant site. In order for the benefits of allostery to be taken advantage of, both for basic understanding of proteins and to develop new classes of drugs, the structure-based prediction of allosteric binding sites, modulators and communication pathways is necessary. Here we review the recently emerging field of allosteric prediction, focusing mainly on computational methods. We also describe the search for cryptic binding pockets and attempts to design allostery into proteins. The development and adoption of such methods is essential or the long-preached potential of allostery will remain elusive.
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Allosteric modulators can change protein/substrate affinity in a highly predictable manner by stabilizing target proteins in inactive or active state, leading to desirable controllability.
“Allosteric modulators can change the protein/substrate affinity in a highly predictable manner by stabilizing target proteins in an inactive or active state, leading to desirable controllability.”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [237]
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- Authors
- Greener, J. G., & Sternberg, M. J.
- Affiliations
- Imperial College London (GB)
- Corresponding author
- Greener, Joe G
- Venue
- Current Opinion in Structural Biology
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 50
- Pages
- 1-8
- ISSN
- 0959-440X (ISSN-L)
- OpenAlex
- W2766298563
- Cited by
- 91
- References
- 81
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 6 · 2023: 7 · 2022: 13 · 2021: 12 · 2020: 17 · 2019: 16 · 2018: 9
- FWCI
- 1.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Current Opinion in Structural Biology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, other-oa)
- Funders
- Biotechnology and Biological Sciences Research Council (BB/J014575/1)
- 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 › Receptor Mechanisms and Signaling
- Keywords
- protein allostery, allosteric modulators, cryptic binding pockets, structure-based drug design, computational methods
- MeSH terms
- Allosteric Regulation, Allosteric Site, Models, Molecular, Protein Binding, Proteins, Software, Computational Biology, Quantitative Structure-Activity Relationship
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