Evidence map›Paper›PMID 30444864›Full record

ArticlePLoS computational biology2018

Towards a molecular basis of ubiquitin signaling: A dual-scale simulation study of ubiquitin dimers.

Andrej Berg, Oleksandra Kukharenko, Martin Scheffner, Christine Peter

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  8. CATBOSS: Cluster Analysis of Trajectories Based on Segment Splitting.Journal of chemical information and modeling · 2021
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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

4 authors.

Andrej BergDepartment of Chemistry, University of Konstanz, Konstanz, Germany.ORCID 0000-0002-5232-1995
Oleksandra KukharenkoDepartment of Chemistry, University of Konstanz, Konstanz, Germany.ORCID 0000-0002-3285-1403
Martin ScheffnerDepartment of Biology, University of Konstanz, Konstanz, Germany.ORCID 0000-0003-2229-0128
Christine PeterDepartment of Chemistry, University of Konstanz, Konstanz, Germany.ORCID 0000-0002-1471-5440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covalent modification of proteins by ubiquitin or ubiquitin chains is one of the most prevalent post-translational modifications in eukaryotes. Different types of ubiquitin chains are assumed to selectively signal respectively modified proteins for different fates. In support of this hypothesis, structural studies have shown that the eight possible ubiquitin dimers adopt different conformations. However, at least in some cases, these structures cannot sufficiently explain the molecular basis of the selective signaling mechanisms. This indicates that the available structures represent only a few distinct conformations within the entire conformational space adopted by a ubiquitin dimer. Here, molecular simulations on different levels of resolution can complement the structural information. We have combined exhaustive coarse grained and atomistic simulations of all eight possible ubiquitin dimers with a suitable dimensionality reduction technique and a new method to characterize protein-protein interfaces and the conformational landscape of protein conjugates. We found that ubiquitin dimers exhibit characteristic linkage type-dependent properties in solution, such as interface stability and the character of contacts between the subunits, which can be directly correlated with experimentally observed linkage-specific properties.

Indexed as

Signal TransductionAlgorithmsComputer SimulationDatabases, ProteinModels, MolecularMolecular Dynamics SimulationProtein BindingProtein Interaction MappingProtein MultimerizationProtein Processing, Post-TranslationalUbiquitinUbiquitinationUbiquitin

Identifiers

PMID30444864
PMCPMC6268000

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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.