Evidence map›Paper›PMID 40275100›Full record

ReviewNature chemical biology2025

Advances in uncovering the mechanisms of macromolecular conformational entropy.

Stephanie A Wankowicz, James S Fraser

Abstract readReview
In one paragraph

Review in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

Stephanie A WankowiczDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA. stephanie@wankowiczlab.com.ORCID http://orcid.org/0000-0002-4225-7459
James S FraserDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA. jfraser@fraserlab.com.ORCID http://orcid.org/0000-0002-5080-2859

Funding

Targeting Viroporins and Coronavirus M ProteinU19AI171110 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI James Solomon Fraser · 2022 to 2026
$103.4M
Equipment for Discovering and Manipulating Macromolecular Conformational EnsemblesR35GM145238 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI James Solomon Fraser · 2022 to 2026
$3.1M
NIAID NIH HHS U19 AI171110NIGMS NIH HHS R35 GM145238U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) U19AI171110U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM145238
6 · The paper itself

Abstract

During protein folding, proteins transition from a disordered polymer into a globular structure, markedly decreasing their conformational degrees of freedom, leading to a substantial reduction in entropy. Nonetheless, folded proteins retain substantial entropy as they fluctuate between the conformations that make up their native state. This residual entropy contributes to crucial functions like binding and catalysis, supported by growing evidence primarily from NMR and simulation studies. Here, we propose three major ways that macromolecules use conformational entropy to perform their functions; first, prepaying entropic cost through ordering of the ground state; second, spatially redistributing entropy, in which a decrease in entropy in one area is reciprocated by an increase in entropy elsewhere; third, populating catalytically competent ensembles, in which conformational entropy within the enzymatic scaffold aids in lowering transition state barriers. We also provide our perspective on how solving the current challenge of structurally defining the ensembles encoding conformational entropy will lead to new possibilities for controlling binding, catalysis and allostery.

Indexed as

EntropyMacromolecular SubstancesProteinsHumansModels, MolecularProtein ConformationProtein FoldingMacromolecular SubstancesProteins

Identifiers

PMID40275100
PMCPMC12103944

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.