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The Journal of Physical Chemistry B· 2026Q1

Molecular Conformation as a Determinant of Self-Assembly in Sequence-Isomeric Tripeptides

Zhuojun Li, Rein V. Ulijn, Hamish W. A. Swanson

Short summary

Computed conformational free-energy landscapes (FELs) of tripeptides can predict their self-assembly propensity, with thermal conformational accessibility correlating to assembly tendency.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Computed conformational free-energy landscapes (FELs) for seven tripeptide sequences were generated using all-atom molecular dynamics.
  • A novel numerical method characterizes FELs, linking thermal conformational accessibility to self-assembly propensity.
  • The study evaluates the impact of water models and ionization states on peptide conformation.
  • The methodology implicitly considers amino acid sequence context, crucial for sequence isomers.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract In this work, we evaluate whether computed conformational ensembles of seven tripeptides─the six C-terminal amidated D/Y/F sequence isomers and the closely related sequence FFD─are informative of their self-assembly propensity. Using all-atom molecular dynamics (AA-MD) simulations and intramolecular side-chain dihedral angles as a collective variable, we calculate conformational free-energy landscapes (FELs) for these sequences. We then introduce a novel method to numerically characterize the computed FELs and find a correlation between thermal conformational accessibility and a sequence’s tendency to self-assemble or remain in solution. In addition, we evaluate and rationalize the impact of water model selection on conformational ensembles in terms of peptide-water interaction strengths, and also investigate the influence of ionization state on conformation. The presented methodology implicitly accounts for amino acid sequence context, which is a major determinant of divergent properties for sequence isomers. It also has a low associated computational cost, making use of single-molecule simulations to predict supramolecular assembly outcomes. These features are an important advancement toward a general scheme for the theory-informed design of peptide materials.

The authors' abstract, as published at the source. The Journal of Physical Chemistry B, 2026 · DOI ↗

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Field: Biomaterials

BiomaterialsMaterials Science