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December 9, 2025Current Opinion in Structural Biology3 citationsOpen Access

Integrative modelling of biomolecular dynamics

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DGDaria GusewCHCarl G. Henning HansenKLKresten Lindorff-Larsen

Key Points

  • This work aims to review how computational models can integrate with experimental data to better understand biomolecular dynamics.
  • Reviewed literature on time-dependent and time-resolved experimental methods.
  • Discussed integration of computational models with experimental simulations.
  • Analyzed the impact of atomistic resolution on biomolecular studies.
  • Highlighted advancements in capturing biomolecular dynamics at higher resolutions.
  • Found effective representations of dynamical behaviour through simulations.
  • Demonstrated the importance of integrating dynamic experiments with computational approaches.

Abstract

Much of our mechanistic understanding of the functions of biological macromolecules is based on static structural experiments, which can be modelled either as single structures or conformational ensembles. While these provide us with invaluable insights, they do not directly reveal that molecules are inherently dynamic. Advances in time-dependent and time-resolved experimental methods have made it possible to capture the dynamics of biomolecules at increasingly higher spatial and temporal resolutions. To complement these, computational models can represent the structural and dynamical behaviour of biomolecules at atomistic resolution and femtosecond timescale, and are therefore useful to interpret these experiments. Here, we review the progress in integrating simulations with dynamical experiments, focusing on the combination of simulations with time-resolved and time-dependent experimental data.

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Cite This Study

Gusew et al. (2025) studied this question.

synapsesocial.com/papers/69401efa2d562116f28f9994https://doi.org/10.1016/j.sbi.2025.103195
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