Evidence map›Paper›PMID 40907012›Full record

ArticleJournal of chemical theory and computation2025

Molecular Dynamics of the Intrinsically Disordered Protein COR15A─A Force Field Validation on Structure and Dynamics.

Tobias Rindfleisch, Ricky Nencini, O H Samuli Ollila, Dirk Walther, Markus S Miettinen, Anja Thalhammer

Abstract read
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Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

6 authors.

Tobias RindfleischComputational Biology Unit, Department of Informatics, University of Bergen, 5008 Bergen, Norway.ORCID 0000-0003-0329-0544
Ricky NenciniInstitute of Biotechnology, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0003-4449-2396
O H Samuli OllilaInstitute of Biotechnology, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0002-8728-1006
Dirk WaltherMax-Planck Institute of Molecular Plant Physiology, 14476 Potsdam, Germany.
Markus S MiettinenComputational Biology Unit, Department of Informatics, University of Bergen, 5008 Bergen, Norway.ORCID 0000-0002-3999-4722
Anja ThalhammerPhysical Biochemistry, University of Potsdam, 14476 Potsdam, Germany.ORCID 0000-0002-6480-0993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrinsically disordered proteins (IDPs) pose a challenge for structural characterization, as experimental methods lack the subnanometer/subnanosecond resolution to capture their dynamic conformational ensembles. Molecular dynamics (MD) simulations can, in principle, provide this information, but for the simulation of IDPs, dedicated protein and water force fields are needed, as traditional MD models for folded proteins prove inadequate for IDPs. Substantial effort was invested to develop IDP-specific force fields, but their performance in describing IDPs that undergo conformational changes─such as those induced by molecular partner binding or changes in solution environment─remains underexplored. In this study, we investigated the ability of 20 MD models to accurately simulate structural and dynamic aspects of COR15A, an IDP just on the verge of folding, with a particular focus on their ability to capture subtle structural differences. We employ a two-step approach: (i) validation of short 200 ns simulations against small-angle X-ray scattering (SAXS) data and (ii) detailed evaluation of the six best-performing MD models through extended 1.2 μs MD simulations against nuclear magnetic resonance (NMR) data, including a single-point mutant with slightly increased helicity. Only DES-amber and ff99SBws capture helicity differences between wild-type and mutant, but ff99SBws overestimates helicity. Notably, only DES-amber adequately reproduces the COR15A dynamics, as assessed by NMR relaxation times at two different magnetic field strengths. Among the tested force fields, DES-amber emerges as the best MD model for the simulation of COR15A. Its application provides insights into its dynamic conformational landscape, albeit not perfectly reproducing all experimental data. Our study highlights the need for rigorous force field validation for IDPs and identifies remaining discrepancies in need of further force-field development.

Indexed as

Intrinsically Disordered ProteinsMolecular Dynamics SimulationProtein ConformationScattering, Small AngleX-Ray DiffractionIntrinsically Disordered Proteins

Identifiers

PMID40907012
PMCPMC12461933

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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.