Evidence map›Paper›PMID 26244893›Full record

ArticlePLoS computational biology2015

Dynamic Allostery of the Catabolite Activator Protein Revealed by Interatomic Forces.

Maxime Louet, Christian Seifert, Ulf Hensen, Frauke Gräter

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. 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
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  7. Article
  8. NMR Methods to Study Dynamic Allostery.PLoS computational biology · 2016
    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

4 authors.

Maxime LouetHeidelberg Institutes for Theoretical Studies gGmbH, Heidelberg, Germany.
Christian SeifertHeidelberg Institutes for Theoretical Studies gGmbH, Heidelberg, Germany.
Ulf HensenEidgenössische Technische Hochschule Zürich, Department of Biosystem Science and Engineering, Basel, Switzerland.
Frauke GräterHeidelberg Institutes for Theoretical Studies gGmbH, Heidelberg, Germany; CAS-MPG Partner Institute and Key Laboratory for Computational Biology, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Catabolite Activator Protein (CAP) is a showcase example for entropic allostery. For full activation and DNA binding, the homodimeric protein requires the binding of two cyclic AMP (cAMP) molecules in an anti-cooperative manner, the source of which appears to be largely of entropic nature according to previous experimental studies. We here study at atomic detail the allosteric regulation of CAP with Molecular dynamics (MD) simulations. We recover the experimentally observed entropic penalty for the second cAMP binding event with our recently developed force covariance entropy estimator and reveal allosteric communication pathways with Force Distribution Analyses (FDA). Our observations show that CAP binding results in characteristic changes in the interaction pathways connecting the two cAMP allosteric binding sites with each other, as well as with the DNA binding domains. We identified crucial relays in the mostly symmetric allosteric activation network, and suggest point mutants to test this mechanism. Our study suggests inter-residue forces, as opposed to coordinates, as a highly sensitive measure for structural adaptations that, even though minute, can very effectively propagate allosteric signals.

Indexed as

Allosteric SiteCyclic AMP Receptor ProteinEntropyEscherichia coli ProteinsMolecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularPrincipal Component AnalysisProtein BindingCyclic AMP Receptor ProteinEscherichia coli Proteins

Identifiers

PMID26244893
PMCPMC4526232

What OpenQuestion holds

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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.