Evidence map›Paper›PMID 42334941›Full record

ArticleBioinformatics (Oxford, England)2026

Introducing non-enzymatic crosslinks into atomistic simulations of collagen fibrils.

Guido Giannetti, Justin Pils, Frauke Gräter, Debora Monego, Christoph Dellago

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guido GiannettiFaculty of Physics, University of Vienna, Vienna, 1090, Austria.
Justin PilsFaculty of Physics, University of Vienna, Vienna, 1090, Austria.
Frauke GräterMax Planck Institute for Polymer Research, Max Planck Institute, Mainz, 55128, Germany.
Debora MonegoMax Planck Institute for Polymer Research, Max Planck Institute, Mainz, 55128, Germany.ORCID 0000-0003-1246-3718
Christoph DellagoFaculty of Physics, University of Vienna, Vienna, 1090, Austria.ORCID 0000-0001-9166-6235

Funding

Austrian Science Fund (FWF) 10.55776/P35715LEONARDO supercomputer at CINECA 72451LEONARDO supercomputer at CINECA 72829the Austrian Scientific Computing (ASC)Vienna Doctoral School in Physics (VDSP)
6 · The paper itself

Abstract

motivationCollagen 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.

resultsHere, 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. AVAILABILITY AND IMPLEMENTATION: ColBuilder is available as an open-source Python command-line package at https://github.com/graeter-group/colbuilder.

Indexed as

CollagenMolecular Dynamics SimulationArginineGlycation End Products, AdvancedLysineArginineCollagenglucosepaneGlycation End Products, AdvancedLysinepentosidine

Identifiers

PMID42334941
PMCPMC13348703

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.