Evidence map›Paper›PMID 27448905›Full record

ArticleThe Journal of chemical physics2016

The allosteric switching mechanism in bacteriophage MS2.

Matthew R Perkett, Dina T Mirijanian, Michael F Hagan

Open access · greenAbstract read
In one paragraph

Article in The Journal of chemical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 29% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Matthew R PerkettMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02474, USA.
Dina T MirijanianMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02474, USA.
Michael F HaganMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02474, USA.
Brandeis University · US

Funding

Quantitative Biology: a Graduate Curriculum Linking the Physical and Biomedical ST32EB009419 · NIBIB · BRANDEIS UNIVERSITY · PI GELLES, JEFF, KONDEV, JANE · 2009 to 2018
$2.8M
Computational modeling of viral capsid and bacterial microcompartment assemblyR01GM108021 · NIGMS · BRANDEIS UNIVERSITY · PI HAGAN, MICHAEL F · 2013 to 2021
$2.7M
Collaborative experimental & computational studies of conformational transitionsR01GM100966 · NIGMS · BRANDEIS UNIVERSITY · PI HAGAN, MICHAEL F, KERN, DOROTHEE · 2013 to 2016
$1.2M
NIBIB NIH HHS T32 EB009419NIGMS NIH HHS R01 GM100966NIGMS NIH HHS R01 GM108021
6 · The paper itself

Abstract

We use all-atom simulations to elucidate the mechanisms underlying conformational switching and allostery within the coat protein of the bacteriophage MS2. Assembly of most icosahedral virus capsids requires that the capsid protein adopts different conformations at precise locations within the capsid. It has been shown that a 19 nucleotide stem loop (TR) from the MS2 genome acts as an allosteric effector, guiding conformational switching of the coat protein during capsid assembly. Since the principal conformational changes occur far from the TR binding site, it is important to understand the molecular mechanism underlying this allosteric communication. To this end, we use all-atom simulations with explicit water combined with a path sampling technique to sample the MS2 coat protein conformational transition, in the presence and absence of TR-binding. The calculations find that TR binding strongly alters the transition free energy profile, leading to a switch in the favored conformation. We discuss changes in molecular interactions responsible for this shift. We then identify networks of amino acids with correlated motions to reveal the mechanism by which effects of TR binding span the protein. We find that TR binding strongly affects residues located at the 5-fold and quasi-sixfold interfaces in the assembled capsid, suggesting a mechanism by which the TR binding could direct formation of the native capsid geometry. The analysis predicts amino acids whose substitution by mutagenesis could alter populations of the conformational substates or their transition rates.

Indexed as

AlgorithmsAllosteric RegulationAllosteric SiteAmino Acid SequenceCluster AnalysisInformation TheoryLevivirusMolecular Dynamics SimulationMutationProtein ConformationWaterWater

Identifiers

PMID27448905
PMCPMC4947040
OpenAlexW1922019906

What OpenQuestion holds

Textmetadata
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.