Evidence map›Paper›PMID 40286867›Full record

ReviewJournal of molecular biology2025

Dynamic Allostery: Evolution's Double-Edged Sword in Protein Function and Disease.

Paul Campitelli, I Can Kazan, Sean Hamilton, S Banu Ozkan

Abstract readReview
In one paragraph

Review in Journal of molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

4 authors.

Paul CampitelliDepartment of Physics, Arizona State University, Tempe, AZ, United States; Center for Biological Physics, Arizona State University, Tempe, AZ, United States.
I Can KazanDepartment of Physics, Arizona State University, Tempe, AZ, United States; Center for Biological Physics, Arizona State University, Tempe, AZ, United States.
Sean HamiltonDepartment of Physics, Arizona State University, Tempe, AZ, United States; Center for Biological Physics, Arizona State University, Tempe, AZ, United States.
S Banu OzkanDepartment of Physics, Arizona State University, Tempe, AZ, United States; Center for Biological Physics, Arizona State University, Tempe, AZ, United States. Electronic address: banu.ozkan@asu.edu.

Funding

Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutionsR01GM147635 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI OZKAN, SEFIKA BANU, SWINT-KRUSE, LISKIN · 2022 to 2025
$1.8M
DMS/NIGMS 1: Topological Dynamics Models of Protein FunctionR01GM152735 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI PANAGIOTOU, ELENI · 2023 to 2025
$589k
NIGMS NIH HHS R01 GM147635NIGMS NIH HHS R01 GM152735
6 · The paper itself

Abstract

Allostery is a core mechanism in biology that allows proteins to communicate and regulate activity over long structural distances. While classical models of allostery focus on conformational changes triggered by ligand binding, dynamic allostery-where protein function is modulated through alterations in thermal fluctuations without major conformational shifts-has emerged as a critical evolutionary mechanism. This review explores how evolution leverages dynamic allostery to fine-tune protein function through subtle mutations at distal sites, preserving core structural architecture while dramatically altering functional properties. Using a combination of computational approaches including Dynamic Flexibility Index (DFI), Dynamic Coupling Index (DCI), and vibrational density of states (VDOS) analysis, we demonstrate that functional adaptations in proteins often involve "hinge-shift" mechanisms, where redistribution of rigid and flexible regions modulates collective motions without changing the overall fold. This evolutionary principle is a double-edged sword: the same mechanisms that enable functional innovation also create vulnerabilities that can be exploited in disease states. Disease-associated variants frequently occur at positions highly coupled to functional sites despite being physically distant, forming Dynamic Allosteric Residue Couples (DARC sites). We demonstrate applications of these principles in understanding viral evolution, drug resistance, and capsid assembly dynamics. Understanding dynamic allostery provides critical insights into protein evolution and offers new avenues for therapeutic interventions targeting allosteric regulation.

Indexed as

Evolution, MolecularProteinsAllosteric RegulationHumansModels, MolecularMutationProtein ConformationProteinsallosterydisease mechanismdrug resistanceprotein dynamicsprotein evolution

Identifiers

PMID40286867
PMCPMC12341636

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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.