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Introducing non-enzymatic crosslinks into atomistic simulations of collagen fibrils

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Collagen fibrils are the primary load-bearing units of connective tissues. However, generating atomistic, simulation-ready models remains challenging due to collagen’s hierarchical organization and the diversity of its crosslinking network across tissues, ages, and metabolic states. Notably, non-enzymatic advanced glycation end-product (AGE) crosslinks—central to aging and diabetic complications—are largely absent from current atomistic fibril modelling workflows.Here, we present an extension of the ColBuilder framework to generate atomistic collagen fibril models that incorporate three representative AGE-derived crosslinks (glucosepane, pentosidine, and MOLD) alongside enzymatic crosslinks. Amber99-compatible parameters are provided and assessed against QM-optimized reference geometries using all-atom molecular dynamics (MD) simulations. As proof-of-concept, we examine the mechanical response of single D-period collagen microfibrils featuring enzymatic-only, AGE-only, and mixed crosslink patterns in molecular dynamics simulations under force, and observe that AGE crosslinks differently impact the fibril structure compared to enzymatic crosslinks. The extension to ColBuilder can aid future structure-based research on collagen aging.ColBuilder is available as an open-source Python command-line package at https://github.com/graeter-group/colbuilder.
Original languageEnglish
Article numberbtag409
Number of pages9
JournalBioinformatics
Volume42
Issue number7
DOIs
Publication statusPublished - Jul 2026

Funding

G. G. acknowledges financial support from the Austrian Science Fund (FWF) under project 10.55776/P35715 and from the Vienna Doctoral School in Physics (VDSP).

FundersFunder number
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)10.55776/P35715

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Austrian Fields of Science 2012

  • 102004 Bioinformatics
  • 103043 Computational physics

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