Evidence map›Paper›PMID 37155239›Full record

ArticleThe journal of physical chemistry. B2023

Structural Preferences Shape the Entropic Force of Disordered Protein Ensembles.

Feng Yu, Shahar Sukenik

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  7. Review
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  11. A coarse-grained model for disordered and multi-domain proteins.Protein science : a publication of the Protein Society · 2024
    Article
  12. Intrinsically disordered region amplifies membrane remodeling to augment selective ER-phagy.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Feng YuQuantitative Systems Biology Program, University of California, Merced, California 95343, United States.ORCID 0000-0003-1755-5515
Shahar SukenikQuantitative Systems Biology Program, University of California, Merced, California 95343, United States.ORCID 0000-0003-3855-9574

Funding

Uncovering the structural underpinnings of function in disordered transcription factor regionsR35GM137926 · NIGMS · UNIVERSITY OF CALIFORNIA, MERCED · PI Shahar Sukenik · 2020 to 2026
$2.5M
NIGMS NIH HHS R35 GM137926
6 · The paper itself

Abstract

Intrinsically disordered protein regions (IDRs) make up over 30% of the human proteome and exist in a dynamic conformational ensemble instead of a native, well-folded structure. Tethering IDRs to a surface (for example, the surface of a well-folded region of the same protein) can reduce the number of accessible conformations in these ensembles. This reduces the ensemble's conformational entropy, generating an effective entropic force that pulls away from the point of tethering. Recent experimental work has shown that this entropic force causes measurable, physiologically relevant changes to protein function. But how the magnitude of this force depends on IDR sequence remains unexplored. Here, we use all-atom simulations to analyze how structural preferences in IDR ensembles contribute to the entropic force they exert upon tethering. We show that sequence-encoded structural preferences play an important role in determining the magnitude of this force: compact, spherical ensembles generate an entropic force that can be several times higher than more extended ensembles. We further show that changes in the surrounding solution's chemistry can modulate the IDR entropic force strength. We propose that the entropic force is a sequence-dependent, environmentally tunable property of terminal IDR sequences.

Indexed as

Intrinsically Disordered ProteinsEntropyHumansProtein ConformationProteomeIntrinsically Disordered ProteinsProteome

Identifiers

PMID37155239
PMCPMC10201532

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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.