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Allostery
Mateu Montserrat-Canals1,2, Gabriele Cordara1,2, Ute Krengel1,2
1Department of Chemistry, University of Oslo, Oslo, Norway.
Quarterly Reviews of Biophysics
|January 24, 2025
Summary
Allostery is a biological process where molecular signals are transmitted across proteins. This review explores allosteric mechanisms, methods, and its revolutionary potential in drug discovery using artificial intelligence.
Area of Science:
- Biochemistry and Molecular Biology
- Structural Biology
- Pharmacology
Background:
- Allostery describes signal transmission in macromolecules from allosteric sites to active sites, distinct from orthosteric ligand binding.
- Classical examples include hemoglobin, kinases, and G-protein-coupled receptors, alongside emerging areas like intrinsically disordered proteins.
Purpose of the Study:
- To provide a comprehensive review of allosteric mechanisms, encompassing historical context, diverse examples, and underlying principles.
- To survey methodologies for investigating allosteric molecular mechanisms.
- To discuss the application and future of allostery in drug discovery.
Main Methods:
- Literature review of classical and contemporary allostery research.
- Discussion of experimental techniques (e.g., structural biology, biophysics) and computational approaches (e.g., molecular dynamics simulations, AI).
Main Results:
- Allosteric mechanisms are influenced by molecular dynamics, entropy, and conformational landscapes.
- A wide array of biological systems exhibit allosteric regulation.
- Artificial intelligence is emerging as a powerful tool for studying and exploiting allostery.
Conclusions:
- Allosteric regulation is a fundamental biological principle with broad implications across various systems.
- Advanced experimental and computational methods are crucial for elucidating complex allosteric mechanisms.
- Allosteric drug discovery, enhanced by AI, holds significant promise for developing novel therapeutics.
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