Evidence map›Paper›PMID 27028635›Full record

ArticleBiophysical journal2016

Influence of RNA Binding on the Structure and Dynamics of the Lassa Virus Nucleoprotein.

Jason G Pattis, Eric R May

Abstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The allosteric switching mechanism in bacteriophage MS2.The Journal of chemical physics · 2016
    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.

Jason G PattisDepartment of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut.
Eric R MayDepartment of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut. Electronic address: eric.may@uconn.edu.

Funding

Computational Studies of Early Stage Cell Entry Events by Non-enveloped VirusesK22AI099163 · NIAID · UNIVERSITY OF CONNECTICUT STORRS · PI MAY, ERIC ROBERT · 2013 to 2014
$260k
NIAID NIH HHS K22 AI099163NIAID NIH HHS K22AI099163
6 · The paper itself

Abstract

Lassa virus protects its viral genome through the formation of a ribonucleoprotein complex in which the nucleoprotein (NP) encapsidates the single-stranded RNA genome. Crystal structures provide evidence that a conformational change must occur to allow for RNA binding. In this study, the mechanism by which NP binds to RNA and how the conformational changes in NP are achieved was investigated with molecular-dynamics simulations. NP was structurally characterized in an open configuration when bound to RNA and in a closed form in the absence of RNA. Our results show that when NP is bound to RNA, the protein is highly dynamic and the system undergoes spontaneous deviations away from the open-state configuration. The equilibrium simulations are supported by free-energy calculations that quantify the influence of RNA on the free-energy surface, which governs NP dynamics. We predict that the globally stable states are qualitatively in agreement with the observed crystal structures, but that both open and closed conformations are thermally accessible in the presence of RNA. The free-energy calculations also provide a prediction of the location of the transition state for RNA binding and identify an intermediate metastable state that exhibits correlated motions that could promote RNA binding.

Indexed as

Lassa virusMolecular Dynamics SimulationNucleoproteinsPrincipal Component AnalysisProtein BindingProtein DomainsRNA, ViralSurface PropertiesThermodynamicsViral ProteinsNucleoproteinsRNA, ViralViral Proteins

Identifiers

PMID27028635
PMCPMC4816698

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.