Evidence map›Paper›PMID 25539415›Full record

ReviewAccounts of chemical research2015

Keep on moving: discovering and perturbing the conformational dynamics of enzymes.

Gira Bhabha, Justin T Biel, James S Fraser

Abstract readReview
In one paragraph

Review in Accounts of chemical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Article
  3. iScience · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Journal of applied crystallography · 2024
    Article
  8. Article
  9. Review
  10. MatchMaps: Non-isomorphous difference maps for X-ray crystallography.bioRxiv : the preprint server for biology · 2024
    Article
  11. High-resolution double vision of the allosteric phosphatase PTP1B.Acta crystallographica. Section F, Structural biology communications · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Energy penalties enhance flexible receptor docking in a model cavity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  19. Review
  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

3 authors.

Gira BhabhaDepartment of Cellular and Molecular Pharmacology and the Howard Hughes Medical Institute, University of California , San Francisco, California 94158, United States.
Justin T Biel
James S Fraser

Funding

STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
Integrative Program in Complex Biological System (ipCBS)T32EB009383 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARSHALL, WALLACE, WEINER, ORION D · 2009 to 2022
$3.2M
The Impact of Mutation on the Conformations and Recognition of UbiquitinDP5OD009180 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRASER, JAMES SOLOMON · 2011 to 2015
$1.8M
Model Comparison in Structural BiologyR21GM110580 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRASER, JAMES SOLOMON · 2014 to 2015
$419k
NIBIB NIH HHS T32 EB009383NIGMS NIH HHS GM110580NIGMS NIH HHS R21 GM110580NIGMS NIH HHS T32 GM008284NIH HHS DP5 OD009180NIH HHS OD009180
6 · The paper itself

Abstract

conspectusBecause living organisms are in constant motion, the word "dynamics" can hold many meanings to biologists. Here we focus specifically on the conformational changes that occur in proteins and how studying these protein dynamics may provide insights into enzymatic catalysis. Advances in integrating techniques such as X-ray crystallography, nuclear magnetic resonance, and electron cryomicroscopy (cryo EM) allow us to model the dominant structures and exchange rates for many proteins and protein complexes. For proteins amenable to atomic resolution techniques, the major questions shift from simply describing the motions to discovering their role in function. Concurrently, there is an increasing need for using perturbations to test predictive models of dynamics-function relationships. Examples are the catalytic cycles of dihydrofolate reductase (DHFR) and cyclophilin A (CypA). In DHFR, mutations that alter the ability of the active site to sample productive higher energy states on the millisecond time scale reduce the rate of hydride transfer significantly. Recently identified rescue mutations restore function, but the mechanism by which they do so remains unclear. The exact role of any changes in the dynamics remains an open question. For CypA, a network of side chains that exchange between two conformations is critical for catalysis. Mutations that lock the network in one state also reduce catalytic activity. A further understanding of enzyme dynamics of well-studied enzymes such as dihydrofolate reductase and cyclophilin A will lead to improvement in ability to modulate the functions of computationally designed enzymes and large macromolecular machines. In designed enzymes, directed evolution experiments increase catalytic rates. Detailed X-ray studies suggest that these mutations likely limit the conformational space explored by residues in the active site. For proteins where atomic resolution information is currently inaccessible, other techniques such as cryo-EM and high-resolution single molecule microscopy continue to advance. Understanding the conformational dynamics of larger systems such as protein machines will likely become more accessible and provide new opportunities to rationally modulate protein function.

Indexed as

MovementCyclophilin AHumansProtein ConformationProtein EngineeringTetrahydrofolate DehydrogenaseCyclophilin ATetrahydrofolate Dehydrogenase

Identifiers

PMID25539415
PMCPMC4334266

What OpenQuestion holds

Textmetadata
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.