From Dipeptide Systems to Polypeptides: Evolution of Mutual Information

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Authors: Mostafa Javaheri Moghadam, Katharina Bogusławski, Paweł Tecmer, Stijn De Baerdemacker
Cited by: 0
References: 74

Abstract

Understanding the electronic structure of amino acids is crucial to understanding protein stability, folding mechanisms, and molecular interactions. In this study, we introduce fragment-wise mutual information (FMI) as a quantum information-based tool to quantify interatomic correlations in peptides. By extending mutual information (MI) analysis to amino acid fragments, FMI provides a detailed map of electronic interactions beyond classical descriptors, such as van der Waals forces. We first validated FMI on 400 dipeptides, demonstrating a correlation with the atomization and bonding energies. Expanding this approach to the 10-mer Neh2 peptide, we analyze molecular dynamics (MD) simulations and reveal how interatomic correlations evolve during folding. Our results show that FMI distinguishes stabilizing interactions such as salt bridges and variable hydrogen-bond strengths, providing deeper insight into peptide stability. These findings suggest that FMI could enhance molecular modeling and force-field development by incorporating quantum electronic effects into biomolecular analysis.

Fields of Study & Subjects

Protein Structure and Dynamics Mass Spectrometry Techniques and Applications Machine Learning in Materials Science

Publication details

Journal / source
ACS Omega
Publisher
American Chemical Society (ACS)
Volume
11
Issue
30
Pages
44761–44774
Publication date
17 July 2026
Language
EN