Evidence map›Paper›PMID 39929551›Full record

ReviewAnnual review of biophysics2025

Statistical Thermodynamics of the Protein Ensemble: Mediating Function and Evolution.

Vincent J Hilser, James O Wrabl, Charles E F Millard, Anna Schmitz, Sarah J Brantley, Marie Pearce, Joe Rehfus, Miranda M Russo, Keila Voortman-Sheetz

Abstract readReview
In one paragraph

Review in Annual review of biophysics, 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

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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

9 authors.

Vincent J HilserDepartment of Biology, Johns Hopkins University, Baltimore, Maryland, USA; email: hilser@jhu.edu.
James O WrablDepartment of Biology, Johns Hopkins University, Baltimore, Maryland, USA; email: hilser@jhu.edu.
Charles E F MillardDepartment of Biology, Johns Hopkins University, Baltimore, Maryland, USA; email: hilser@jhu.edu.
Anna SchmitzT.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.
Sarah J BrantleyT.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.
Marie PearceT.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.
Joe RehfusDepartment of Biology, Johns Hopkins University, Baltimore, Maryland, USA; email: hilser@jhu.edu.
Miranda M RussoT.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.
Keila Voortman-SheetzDepartment of Biology, Johns Hopkins University, Baltimore, Maryland, USA; email: hilser@jhu.edu.

Funding

Thermodynamics of Protein FluctuationsR01GM063747 · NIGMS · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI HILSER, VINCENT J. · 2001 to 2023
$7.9M
Folding and Chaperone Interactions of Multi-domain ProteinsR01GM121567 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HILSER, VINCENT J. · 2017 to 2025
$3.2M
NIGMS NIH HHS R01 GM063747NIGMS NIH HHS R01 GM121567
6 · The paper itself

Abstract

The growing appreciation of native state conformational fluctuations mediating protein function calls for critical reevaluation of protein evolution and adaptation. If proteins are ensembles, does nature select solely for ground state structure, or are conformational equilibria between functional states also conserved? If so, what is the mechanism and how can it be measured? Addressing these fundamental questions, we review our investigation into the role of local unfolding fluctuations in the native state ensembles of proteins. We describe the functional importance of these ubiquitous fluctuations, as revealed through studies of adenylate kinase. We then summarize elucidation of thermodynamic organizing principles, which culminate in a quantitative probe for evolutionary conservation of protein energetics. Finally, we show that these principles are predictive of sequence compatibility for multiple folds, providing a unique thermodynamic perspective on metamorphic proteins. These research areas demonstrate that the locally unfolded ensemble is an emerging, important mechanism of protein evolution.

Indexed as

Evolution, MolecularProteinsProtein ConformationProtein FoldingProtein UnfoldingThermodynamicsProteinsadaptationconformational changefold recognitionlocal unfoldingthermodynamic environment

Identifiers

PMID39929551
PMCPMC13411409

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.