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Updated: Mar 1, 2026

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Published on: October 9, 2021
Structural determinants of trypsin affinity and specificity for cationic inhibitors
F Polticelli1, P Ascenzi, M Bolognesi
1Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York 10032, USA.
Computational methods predict inhibitor binding to bovine beta-trypsin. Specific molecular features of the trypsin binding site enhance inhibitor affinity, even for like-charged molecules.
Area of Science:
- Biochemistry
- Computational Chemistry
- Molecular Modeling
Background:
- Understanding enzyme-inhibitor interactions is crucial for drug design.
- Bovine beta-trypsin is a well-studied serine protease with a defined S1 specificity site.
Purpose of the Study:
- To calculate binding free energies of four inhibitors to bovine beta-trypsin.
- To elucidate the contributions of electrostatic and nonpolar interactions to binding affinity.
- To investigate the role of the S1 specificity site's molecular architecture in recognition.
Main Methods:
- Finite difference Poisson-Boltzmann equation for electrostatic contributions.
- Free energy-surface area relationship for nonpolar interactions.
- Estimation of conformational entropy loss for enzyme and ligand.
Main Results:
- Calculated binding free energies were reasonable, correctly predicting relative inhibitor affinities.
- Electrostatic interactions generally opposed binding, but salt bridges stabilized complexes.
- Partially buried Asp189 and immobile specificity site residues reduced desolvation and entropic penalties.
Conclusions:
- The trypsin binding site's architecture promotes specific recognition by minimizing desolvation and entropic costs.
- Like-charged molecules can exhibit favorable electrostatic binding due to solvent interactions in charged complexes.
- Findings offer insights into molecular recognition and binding principles.
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