Evidence map›Paper›PMID 25974317›Full record

ArticlePloS one2015

Evolutionarily conserved network properties of intrinsically disordered proteins.

Nivedita Rangarajan, Prakash Kulkarni, Sridhar Hannenhalli

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Nivedita RangarajanIndian Institute of Science Education and Research, Pune, India.
Prakash KulkarniInstitute for Bioscience & Biotechnology Research, University of Maryland, Rockville, Maryland, United States of America.
Sridhar HannenhalliCenter for Bioinformatics and Computational Biology, Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, United States of America.

Funding

Conundrums in Transcriptional RegulationR01GM100335 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2012 to 2015
$1.2M
NIGMS NIH HHS R01 GM100335NIGMS NIH HHS R01GM100335
6 · The paper itself

Abstract

backgroundIntrinsically disordered proteins (IDPs) lack a stable tertiary structure in isolation. Remarkably, however, a substantial portion of IDPs undergo disorder-to-order transitions upon binding to their cognate partners. Structural flexibility and binding plasticity enable IDPs to interact with a broad range of partners. However, the broader network properties that could provide additional insights into the functional role of IDPs are not known.

resultsHere, we report the first comprehensive survey of network properties of IDP-induced sub-networks in multiple species from yeast to human. Our results show that IDPs exhibit greater-than-expected modularity and are connected to the rest of the protein interaction network (PIN) via proteins that exhibit the highest betweenness centrality and connect to fewer-than-expected IDP communities, suggesting that they form critical communication links from IDP modules to the rest of the PIN. Moreover, we found that IDPs are enriched at the top level of regulatory hierarchy.

conclusionOverall, our analyses reveal coherent and remarkably conserved IDP-centric network properties, namely, modularity in IDP-induced network and a layer of critical nodes connecting IDPs with the rest of the PIN.

Indexed as

Metabolic Networks and PathwaysAnimalsCluster AnalysisDatabases, ProteinDrosophilaDrosophila ProteinsEvolution, MolecularHumansIntrinsically Disordered ProteinsMiceOsmotic PressureProtein Interaction MapsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsDrosophila ProteinsIntrinsically Disordered ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID25974317
PMCPMC4431869

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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.