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Main Authors: Oestereich, Marco, Gauss, Jürgen, Diezemann, Gregor
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2605.15805
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author Oestereich, Marco
Gauss, Jürgen
Diezemann, Gregor
author_facet Oestereich, Marco
Gauss, Jürgen
Diezemann, Gregor
contents In typical single-molecule force spectroscopy experiments the mechanical unfolding of molecular complexes or biomolecules is studied applying a force ramp to one end of the system while the other end is kept fixed in space. The computational counterpart of this type of experiments can routinely be performed using molecular dynamics simulations with atomistic resolution. However, due to the large difference in time scales often coarse graining procedures are applied in the simulations. Most of the applied techniques do not allow to follow the atomistic details of the relevant conformational transitions due to the structural simplifications used to speed up the simulations. Here, we apply an earlier developed dynamic coarse graining technique based on Markov state modeling to a model peptidic system that does not unfold in a simple two-state manner. Using the donor-acceptor distances of the helical hydrogen bonds as collective variables and performing a dimension reduction technique allows us to construct a Markov model of the unfolding process that correctly represents the microscopic behavior of the system. The chosen example shows that the method can be used to mimick the mechanical unfolding process of systems for which the end-to-end distance does not provide a sufficient order parameter and that do not unfold in a simple cooperative manner.
format Preprint
id arxiv_https___arxiv_org_abs_2605_15805
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Markov State Model for the forced unfolding of a small peptide
Oestereich, Marco
Gauss, Jürgen
Diezemann, Gregor
Soft Condensed Matter
Chemical Physics
In typical single-molecule force spectroscopy experiments the mechanical unfolding of molecular complexes or biomolecules is studied applying a force ramp to one end of the system while the other end is kept fixed in space. The computational counterpart of this type of experiments can routinely be performed using molecular dynamics simulations with atomistic resolution. However, due to the large difference in time scales often coarse graining procedures are applied in the simulations. Most of the applied techniques do not allow to follow the atomistic details of the relevant conformational transitions due to the structural simplifications used to speed up the simulations. Here, we apply an earlier developed dynamic coarse graining technique based on Markov state modeling to a model peptidic system that does not unfold in a simple two-state manner. Using the donor-acceptor distances of the helical hydrogen bonds as collective variables and performing a dimension reduction technique allows us to construct a Markov model of the unfolding process that correctly represents the microscopic behavior of the system. The chosen example shows that the method can be used to mimick the mechanical unfolding process of systems for which the end-to-end distance does not provide a sufficient order parameter and that do not unfold in a simple cooperative manner.
title Markov State Model for the forced unfolding of a small peptide
topic Soft Condensed Matter
Chemical Physics
url https://arxiv.org/abs/2605.15805