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The Perturbed Free-Energy Landscape: Linking Ligand Binding to Biomolecular Folding
Abdallah S Abdelsattar1, Youssef Mansour1, Fareed Aboul-Ela1
1Center for X-Ray Determination of the Structure of Matter, Zewail City of Science and Technology, Ahmed Zewail Road, October Gardens, 12578, Giza, Egypt.
Ligand binding alters biomolecular shape by perturbing the free-energy landscape (FEL). This unified theory, termed the binding affinity landscape (BAL), explains conformational changes and guides new drug design strategies.
Area of Science:
- Biophysics
- Structural Biology
- Computational Chemistry
Background:
- Ligand binding's impact on biomolecular conformation is vital for drug design, enzyme function, and gene regulation.
- Common models like "lock and key" and "induced fit" describe these interactions.
- The linked equilibria model suggests ligand binding perturbs the free-energy landscape (FEL).
Purpose of the Study:
- To present a unified, quantitative theory of ligand-induced conformational change based on the perturbed FEL concept.
- To introduce the "binding affinity landscape" (BAL) as a map of binding free energy across conformational space.
- To demonstrate how the BAL unifies and explains existing descriptive models of ligand-receptor interactions.
Main Methods:
- Developing a quantitative theory of ligand-induced conformational change by extending the FEL concept.
- Mapping binding free energy onto biomolecular conformational space to create the BAL.
- Reviewing experimental and computational studies, with a focus on RNA, to exemplify the perturbed FEL.
Main Results:
- The perturbed FEL framework quantitatively explains ligand-induced conformational changes.
- The BAL provides a unified view, reconciling "lock and key", "induced fit", and "conformation selection" models.
- Recent studies on RNA demonstrate the applicability of the perturbed FEL theory.
Conclusions:
- The perturbed FEL and BAL offer a powerful, unified framework for understanding ligand-induced biomolecular dynamics.
- This approach provides new insights for designing ligands and advancing structural and systems biology.
- It motivates novel experimental and theoretical methodologies in molecular interactions.
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