Evidence map›Paper›PMID 28089447›Full record

ArticleStructure (London, England : 1993)2017

Networks of Dynamic Allostery Regulate Enzyme Function.

Michael Joseph Holliday, Carlo Camilloni, Geoffrey Stuart Armstrong, Michele Vendruscolo, Elan Zohar Eisenmesser

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Reactivity Tracking of an Enzyme Progress Coordinate.The journal of physical chemistry letters · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Characterization of Amyloidogenic Peptide Aggregability in Helical Subspace.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  20. 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

5 authors.

Michael Joseph HollidayDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, 12801 East 17th Avenue, MS 8101, Aurora, CO 80045, USA.
Carlo CamilloniDepartment of Chemistry, Institute for Advanced Study, Technische Universität München, 85748 Garching, Germany.
Geoffrey Stuart ArmstrongDepartment of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309, USA.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
Elan Zohar EisenmesserDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, 12801 East 17th Avenue, MS 8101, Aurora, CO 80045, USA. Electronic address: elan.eisenmesser@ucdenver.edu.

Funding

Predoctoral Training Program in Molecular BiologyT32GM008730 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI PREKERIS, RYTIS, SCLAFANI, ROBERT A · 1999 to 2019
$3.3M
Combining chemical shift-based and experimental approaches to study enzyme dynamiR01GM107262 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI EISENMESSER, ELAN Z · 2014 to 2017
$1.2M
Mapping and controlling the segmental dynamic networks of Cyclophilin A as they relate to enzymatic functionF31CA183206 · NCI · UNIVERSITY OF COLORADO DENVER · PI HOLLIDAY, MICHAEL JOSEPH · 2014 to 2015
$41k
NCI NIH HHS F31 CA183206NIGMS NIH HHS R01 GM107262NIGMS NIH HHS T32 GM008730
6 · The paper itself

Abstract

Many protein systems rely on coupled dynamic networks to allosterically regulate function. However, the broad conformational space sampled by non-coherently dynamic systems has precluded detailed analysis of their communication mechanisms. Here, we have developed a methodology that combines the high sensitivity afforded by nuclear magnetic resonance relaxation techniques and single-site multiple mutations, termed RASSMM, to identify two allosterically coupled dynamic networks within the non-coherently dynamic enzyme cyclophilin A. Using this methodology, we discovered two key hotspot residues, Val6 and Val29, that communicate through these networks, the mutation of which altered active-site dynamics, modulating enzymatic turnover of multiple substrates. Finally, we utilized molecular dynamics simulations to identify the mechanism by which one of these hotspots is coupled to the larger dynamic networks. These studies confirm a link between enzyme dynamics and the catalytic cycle of cyclophilin A and demonstrate how dynamic allostery may be engineered to tune enzyme function.

Indexed as

Molecular Dynamics SimulationMutationAllosteric RegulationAmino Acid MotifsBiocatalysisCatalytic DomainCyclophilin AGene ExpressionHumansNuclear Magnetic Resonance, BiomolecularProtein BindingProtein Conformation, alpha-HelicalProtein Interaction Domains and MotifsProtein Structure, SecondaryRecombinant ProteinsStructure-Activity RelationshipCyclophilin ARecombinant ProteinsValineallosterycyclophilin Adynamicsisomerizationnuclear magnetic resonanceprotein engineering

Identifiers

PMID28089447
PMCPMC5336394

What OpenQuestion holds

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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.