Evidence map›Paper›PMID 30943726›Full record

ArticleThe journal of physical chemistry. B2019

Exploring Allosteric Pathways of a V-Type Enzyme with Dynamical Perturbation Networks.

Aria Gheeraert, Lorenza Pacini, Victor S Batista, Laurent Vuillon, Claire Lesieur, Ivan Rivalta

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  3. Article
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  5. Review
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  7. Article
  8. Calculation of centralities in protein kinase A.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Community Network Analysis of Allosteric Proteins.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  13. Article
  14. Article
  15. Article
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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

6 authors.

Aria GheeraertUniv Lyon, Ens de Lyon, CNRS UMR 5182, Université Claude Bernard Lyon 1 , Laboratoire de Chimie , F69342 Lyon , France.
Lorenza PaciniInstitut Rhônalpin des systèmes complexes, IXXI-ENS-Lyon , 69007 Lyon , France.
Victor S BatistaDepartment of Chemistry and Energy Sciences Institute , Yale University , P.O. Box 208107, New Haven , Connecticut 06520-8107 , United States.ORCID 0000-0002-3262-1237
Laurent VuillonLAMA , Univ. Savoie Mont Blanc, CNRS, LAMA , 73376 Le Bourget du Lac , France.
Claire LesieurInstitut Rhônalpin des systèmes complexes, IXXI-ENS-Lyon , 69007 Lyon , France.
Ivan RivaltaUniv Lyon, Ens de Lyon, CNRS UMR 5182, Université Claude Bernard Lyon 1 , Laboratoire de Chimie , F69342 Lyon , France.ORCID 0000-0002-1208-602X

Funding

Computational and Biochemical Studies of Temperature Effects on Allostery in the Imidazole Glycerol Phosphate Synthase (IGPS) from T. maritimaR01GM106121 · NIGMS · YALE UNIVERSITY · PI BATISTA, VICTOR S, LORIA, JOSEPH P · 2014 to 2021
$2.3M
Studies of redox-active sites in Photosystem IIR01GM084267 · NIGMS · YALE UNIVERSITY · PI BATISTA, VICTOR S · 2009 to 2010
$395k
NIGMS NIH HHS R01 GM084267NIGMS NIH HHS R01 GM106121
6 · The paper itself

Abstract

Elucidation of the allosteric pathways in proteins is a computational challenge that strongly benefits from combination of atomistic molecular dynamics (MD) simulations and coarse-grained analysis of the complex dynamical network of chemical interactions based on graph theory. Here, we introduce and assess the performances of the dynamical perturbation network analysis of allosteric pathways in a prototypical V-type allosteric enzyme. Dynamical atomic contacts obtained from MD simulations are used to weight the allosteric protein graph, which involves an extended network of contacts perturbed by the effector binding in the allosteric site. The outcome showed good agreement with previously reported theoretical and experimental extended studies and it provided recognition of new potential allosteric spots that can be exploited in future mutagenesis experiments. Overall, the dynamical perturbation network analysis proved to be a powerful computational tool, complementary to other network-based approaches that can assist the full exploitation of allosteric phenomena for advances in protein engineering and rational drug design.

Indexed as

Molecular Dynamics SimulationAllosteric RegulationEnzymesProtein Structure, SecondaryEnzymes

Identifiers

PMID30943726
PMCPMC6604606

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Registered trials

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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.