Evidence map›Paper›PMID 41073429›Full record

ArticleNature communications2025

Determining accurate conformational ensembles of intrinsically disordered proteins at atomic resolution.

Kaushik Borthakur, Thomas R Sisk, Francesco P Panei, Massimiliano Bonomi, Paul Robustelli

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

21 citing papers in PubMed.

  1. Antibody-drug conjugate engineering: from design to efficacy and safety.Signal transduction and targeted therapy · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Sketching microprotein portraits.Protein science : a publication of the Protein Society · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Ensemble Docking for Intrinsically Disordered Proteins.Journal of chemical information and modeling · 2025
    Article
  18. Article
  19. Article
  20. Ensemble docking for intrinsically disordered proteins.bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kaushik BorthakurDepartment of Chemistry, Dartmouth College, Hanover, NH, USA.ORCID http://orcid.org/0009-0003-3541-7789
Thomas R SiskDepartment of Chemistry, Dartmouth College, Hanover, NH, USA.
Francesco P PaneiInstitut Pasteur, Université Paris Cité, CNRS UMR 3528, Computational Structural Biology Unit, Paris, France.
Massimiliano BonomiInstitut Pasteur, Université Paris Cité, CNRS UMR 3528, Computational Structural Biology Unit, Paris, France.ORCID http://orcid.org/0000-0002-7321-0004
Paul RobustelliDepartment of Chemistry, Dartmouth College, Hanover, NH, USA. paul.j.robustelli@dartmouth.edu.ORCID http://orcid.org/0000-0002-9282-8993

Funding

Characterizing the binding mechanisms of castration-resistant prostate cancer therapeutics to the intrinsically disordered N-terminal domain of the androgen receptorR35GM142750 · NIGMS · DARTMOUTH COLLEGE · PI Paul Robustelli · 2021 to 2026
$2.4M
Agence Nationale de la Recherche (French National Research Agency) ANR-20-CE45-0002EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101086685NIGMS NIH HHS R35 GM142750U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM142750
6 · The paper itself

Abstract

Determining accurate atomic resolution conformational ensembles of intrinsically disordered proteins (IDPs) is extremely challenging. Molecular dynamics (MD) simulations provide atomistic conformational ensembles of IDPs, but their accuracy is highly dependent on the quality of physical models, or force fields, used. Here, we demonstrate how to determine accurate atomic resolution conformational ensembles of IDPs by integrating all-atom MD simulations with experimental data from nuclear magnetic resonance (NMR) spectroscopy and small-angle x-ray scattering (SAXS) with a simple, robust and fully automated maximum entropy reweighting procedure. We demonstrate that in favorable cases, where IDP ensembles obtained from different MD force fields are in reasonable initial agreement with experimental data, reweighted ensembles obtained with this approach converge to highly similar conformational distributions. The maximum entropy reweighting procedure presented here facilitates the integration of MD simulations with extensive experimental datasets and demonstrates progress towards the calculation of accurate, force-field independent conformational ensembles of IDPs at atomic resolution.

Indexed as

Intrinsically Disordered ProteinsMolecular Dynamics SimulationEntropyMagnetic Resonance SpectroscopyNuclear Magnetic Resonance, BiomolecularProtein ConformationScattering, Small AngleX-Ray DiffractionIntrinsically Disordered Proteins

Identifiers

PMID41073429
PMCPMC12514307

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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.