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Updated: May 4, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
A transferable coarse-grained model for diphenylalanine: how to represent an environment driven conformational
Cahit Dalgicdir1, Ozge Sensoy1, Christine Peter2
1College of Engineering, Koç University, 34450 Istanbul, Turkey.
Developing accurate coarse-grained (CG) models for biomolecular simulations is challenging. This study shows a single CG model can capture diphenylalanine
Area of Science:
- Computational Chemistry
- Biomolecular Modeling
- Molecular Dynamics
Background:
- Coarse-grained (CG) simulation models are crucial for studying biomolecular structure formation.
- Accurately representing environment-driven conformational changes (e.g., folding, aggregation) remains a significant challenge.
- Diphenylalanine exhibits distinct conformational transitions in bulk water versus at interfaces or upon aggregation.
Purpose of the Study:
- To investigate the transferability of CG models for biomolecular systems.
- To develop a single CG model capable of reproducing diphenylalanine's conformational behavior in different environments (bulk and interface).
- To analyze the influence of interface properties on peptide conformational dynamics.
Main Methods:
- Development and application of a novel coarse-grained (CG) simulation model.
- Parameterization of nonbonded interactions based on solvation free energies of representative small molecules.
- Investigation of diphenylalanine conformational transitions in bulk water and at the cyclohexane/water interface.
Main Results:
- A single CG model successfully reproduced diphenylalanine's trans-to-cis conformational transition in both bulk and interface conditions.
- The model accurately captured the segregation of hydrophobic and hydrophilic components at the interface.
- The cyclohexane/water interaction potential significantly, though indirectly, influenced the peptide's conformational behavior.
Conclusions:
- A unified CG model can effectively represent environment-dependent conformational changes in peptides.
- Careful balancing of bonded and nonbonded interactions is critical for CG model accuracy.
- Subtle modifications in CG models can lead to significant alterations in predicted thermodynamic and conformational properties.
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