Evidence map›Paper›PMID 27802580›Full record

ArticleProteins2017

Use of restrained molecular dynamics to predict the conformations of phosphorylated receiver domains in two-component signaling systems.

Clay A Foster, Ann H West

Abstract read
In one paragraph

Article in Proteins, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

  1. Article
  2. Allosteric Network Analysis Toolkit for Single-Domain Phosphoproteins.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. 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

2 authors.

Clay A FosterDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma.
Ann H WestDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-component signaling (TCS) is the primary means by which bacteria, as well as certain plants and fungi, respond to external stimuli. Signal transduction involves stimulus-dependent autophosphorylation of a sensor histidine kinase and phosphoryl transfer to the receiver domain of a downstream response regulator. Phosphorylation acts as an allosteric switch, inducing structural and functional changes in the pathway's components. Due to their transient nature, phosphorylated receiver domains are challenging to characterize structurally. In this work, we provide a methodology for simulating receiver domain phosphorylation to predict conformations that are nearly identical to experimental structures. Using restrained molecular dynamics, phosphorylated conformations of receiver domains can be reliably sampled on nanosecond timescales. These simulations also provide data on conformational dynamics that can be used to identify regions of functional significance related to phosphorylation. We first validated this approach on several well-characterized receiver domains and then used it to compare the upstream and downstream components of the fungal Sln1 phosphorelay. Our results demonstrate that this technique provides structural insight, obtained in the absence of crystallographic or NMR information, regarding phosphorylation-induced conformational changes in receiver domains that regulate the output of their associated signaling pathway. To our knowledge, this is the first time such a protocol has been described that can be broadly applied to TCS proteins for predictive purposes. Proteins 2016; 85:155-176. © 2016 Wiley Periodicals, Inc.

Indexed as

Models, StatisticalMolecular Dynamics SimulationBacillus subtilisBacterial ProteinsBinding SitesEscherichia coliEscherichia coli ProteinsGene ExpressionIntracellular Signaling Peptides and ProteinsMethyl-Accepting Chemotaxis ProteinsPhosphorylationProtein BindingProtein Interaction Domains and MotifsProtein KinasesProtein Structure, SecondarySaccharomyces cerevisiaeBacterial ProteinscheY protein, E coliEscherichia coli ProteinsFixJ protein, BacteriaIntracellular Signaling Peptides and ProteinsMethyl-Accepting Chemotaxis ProteinsPhoP protein, E coliProtein KinasesSaccharomyces cerevisiae ProteinsSLN1 protein, S cerevisiaeSpo0F protein, Bacillus subtilismolecular dynamicsphosphorelayphosphotransferpost-translational modificationsresponse regulatortwo-component signaling systems

Identifiers

PMID27802580
PMCPMC5242315

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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.