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PolyUbiquitin Chain Linkage Topology Selects the Functions from the Underlying Binding Landscape

Overview of attention for article published in PLoS Computational Biology, July 2014
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Title
PolyUbiquitin Chain Linkage Topology Selects the Functions from the Underlying Binding Landscape
Published in
PLoS Computational Biology, July 2014
DOI 10.1371/journal.pcbi.1003691
Pubmed ID
Authors

Yong Wang, Chun Tang, Erkang Wang, Jin Wang

Abstract

Ubiquitin (Ub) can generate versatile molecular signals and lead to different celluar fates. The functional poly-valence of Ub is believed to be resulted from its ability to form distinct polymerized chains with eight linkage types. To provide a full picture of ubiquitin code, we explore the binding landscape of two free Ub monomers and also the functional landscapes of of all eight linkage types by theoretical modeling. Remarkably, we found that most of the compact structures of covalently connected dimeric Ub chains (diUbs) pre-exist on the binding landscape. These compact functional states were subsequently validated by corresponding linkage models. This leads to the proposal that the folding architecture of Ub monomer has encoded all functional states into its binding landscape, which is further selected by different topologies of polymeric Ub chains. Moreover, our results revealed that covalent linkage leads to symmetry breaking of interfacial interactions. We further propose that topological constraint not only limits the conformational space for effective switching between functional states, but also selects the local interactions for realizing the corresponding biological function. Therefore, the topological constraint provides a way for breaking the binding symmetry and reaching the functional specificity. The simulation results also provide several predictions that qualitatively and quantitatively consistent with experiments. Importantly, the K48 linkage model successfully predicted intermediate states. The resulting multi-state energy landscape was further employed to reconcile the seemingly contradictory experimental data on the conformational equilibrium of K48-diUb. Our results further suggest that hydrophobic interactions are dominant in the functional landscapes of K6-, K11-, K33- and K48 diUbs, while electrostatic interactions play a more important role in the functional landscapes of K27, K29, K63 and linear linkages.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 35%
Researcher 13 21%
Student > Doctoral Student 5 8%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 7 11%
Unknown 8 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 35%
Agricultural and Biological Sciences 13 21%
Chemistry 11 17%
Physics and Astronomy 2 3%
Neuroscience 2 3%
Other 6 10%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 July 2014.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#7,953
of 8,960 outputs
Outputs of similar age
#168,075
of 242,257 outputs
Outputs of similar age from PLoS Computational Biology
#136
of 162 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.