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Updated: Nov 7, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Experimental and Computational Models for Side Chain Discrimination in Peptide-Protein Interactions
Anna Lidskog1, Sami Dawaigher1, Carlos Solano Arribas1
1Centre for Analysis and Synthesis, Department of Chemistry, Lund University, P. O Box 124, S-221 00, Lund, Sweden.
This study models peptide-protein interactions using a Tröger's base receptor and bisammonium ligands. Molecular mechanics (MM) accurately predicted binding energies, outperforming density functional theory (DFT).
Area of Science:
- Supramolecular Chemistry
- Computational Chemistry
- Structural Biology
Background:
- Understanding non-polar peptide side chain interactions with protein aromatic cavities is crucial for drug design and protein function studies.
- A model system using a bis(18-crown-6) Tröger's base receptor and bisammonium salt ligands was developed to investigate these interactions.
Purpose of the Study:
- To quantitatively and qualitatively analyze the discrimination of ligands by the Tröger's base receptor based on ligand substituents.
- To determine the preferred conformations of heptane chains in ligands, both free and bound.
- To estimate the binding free energies of methyl and phenyl groups within the aromatic cavity via CH-π and π-π interactions.
Main Methods:
- Nuclear Magnetic Resonance (NMR) titrations were employed for quantitative binding analysis.
- 2D NMR techniques (NOESY/ROESY) were utilized to determine ligand conformations and binding modes.
- Experimental data was used to evaluate the performance of computational methods like molecular mechanics (MM) and density functional theory (DFT).
Main Results:
- An all-anti conformation of the heptane chain was favored for most ligands, irrespective of receptor binding.
- Ligand substituents were consistently found within or partially within the receptor's aromatic cavity.
- Estimated free binding energies for methyl and phenyl groups were -1.7 kJ/mol (CH-π) and -3.3 kJ/mol (CH-π and π-π interactions), respectively.
- Molecular mechanics (MM) demonstrated superior accuracy compared to DFT in predicting experimental binding energies.
Conclusions:
- The Tröger's base receptor effectively discriminates ligands based on substituents, providing insights into peptide-protein binding.
- MM methods are reliable for modeling CH-π and π-π interactions in such systems.
- This study validates a model system for exploring non-polar interactions relevant to protein binding pockets.
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