Evidence map›Paper›PMID 39735932›Full record

ArticleJACS Au2024

Identifying Sequence Effects on Chain Dimensions of Disordered Proteins by Integrating Experiments and Simulations.

Andrea Holla, Erik W Martin, Thomas Dannenhoffer-Lafage, Kiersten M Ruff, Sebastian L B König, Mark F Nüesch, Aritra Chowdhury, John M Louis, Andrea Soranno, Daniel Nettels and 4 more

Abstract read
In one paragraph

Article in JACS Au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Distinguishing near- versus off-critical phase behaviors of intrinsically disordered proteins.Reports on progress in physics. Physical Society (Great Britain) · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mapping Charge Interactions in Intrinsically Disordered Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. All-atom simulations of biomolecular condensates.Current opinion in structural biology · 2025
    Review
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

14 authors.

Andrea HollaDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Erik W MartinDepartment of Structural Biology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, Tennessee 38105, United States.
Thomas Dannenhoffer-LafageLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States.
Kiersten M RuffDepartment of Biomedical Engineering and Center for Biomolecular Condensates, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID https://orcid.org/0000-0003-3240-1856
Sebastian L B KönigDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Mark F NüeschDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Aritra ChowdhuryDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
John M LouisLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States.ORCID https://orcid.org/0000-0002-0052-1899
Andrea SorannoDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8394-7993
Daniel NettelsDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Rohit V PappuDepartment of Biomedical Engineering and Center for Biomolecular Condensates, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID https://orcid.org/0000-0003-2568-1378
Robert B BestLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States.ORCID https://orcid.org/0000-0002-7893-3543
Tanja MittagDepartment of Structural Biology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, Tennessee 38105, United States.ORCID https://orcid.org/0000-0002-1827-3811
Benjamin SchulerDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.ORCID https://orcid.org/0000-0002-5970-4251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has become increasingly evident that the conformational distributions of intrinsically disordered proteins or regions are strongly dependent on their amino acid compositions and sequence. To facilitate a systematic investigation of these sequence-ensemble relationships, we selected a set of 16 naturally occurring intrinsically disordered regions of identical length but with large differences in amino acid composition, hydrophobicity, and charge patterning. We probed their conformational ensembles with single-molecule Förster resonance energy transfer (FRET), complemented by circular dichroism (CD) and nuclear magnetic resonance (NMR) spectroscopy as well as small-angle X-ray scattering (SAXS). The set of disordered proteins shows a strong dependence of the chain dimensions on sequence composition, with chain volumes differing by up to a factor of 6. The residue-specific intrachain interaction networks that underlie these pronounced differences were identified using atomistic simulations combined with ensemble reweighting, revealing the important role of charged, aromatic, and polar residues. To advance a transferable description of disordered protein regions, we further employed the experimental data to parametrize a coarse-grained model for disordered proteins that includes an explicit representation of the FRET fluorophores and successfully describes experiments with different dye pairs. Our findings demonstrate the value of integrating experiments and simulations for advancing our quantitative understanding of the sequence features that determine the conformational ensembles of intrinsically disordered proteins.

Identifiers

PMID39735932
PMCPMC11672150

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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.