Improving binding entropy by higher ligand symmetry? - A case study with human matriptase.

Area of Science:

• Biochemistry
• Chemical Biology
• Structural Biology

Background:

• Understanding protein-ligand interactions is crucial for drug discovery and optimization.
• Binding entropy significantly influences ligand affinity and thermodynamic profiles.
• The impact of ligand symmetry on binding entropy remains underexplored.

Purpose of the Study:

• To investigate the effects of increased ligand symmetry on binding entropy.
• To explore how reduced distinguishable binding modes affect thermodynamic binding profiles.
• To evaluate novel, highly symmetric inhibitors against human matriptase.

Main Methods:

• Design and synthesis of trivalent phloroglucinol-based inhibitors.
• Utilizing human matriptase as a model system for protein-ligand interactions.
• Employing isothermal titration calorimetry to measure binding thermodynamics.

Main Results:

• Highly symmetric ligands were designed to target the enzyme's binding site.
• These ligands exhibited multiple indistinguishable binding modes.
• A high entropy-driven affinity was observed, aligning with predictions.

Conclusions:

• Increased ligand symmetry can lead to favorable entropy-driven binding.
• The study provides insights into optimizing ligand design for enhanced affinity.
• This work contributes to a deeper understanding of binding entropy in drug development.