Evidence map›Paper›PMID 25299147›Full record

ArticlePLoS computational biology2014

Linear motif-mediated interactions have contributed to the evolution of modularity in complex protein interaction networks.

Inhae Kim, Heetak Lee, Seong Kyu Han, Sanguk Kim

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. How do disordered regions achieve comparable functions to structured domains?Protein science : a publication of the Protein Society · 2015
    Review
  10. LMPID: a manually curated database of linear motifs mediating protein-protein interactions.Database : the journal of biological databases and curation · 2015
    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

4 authors.

Inhae KimDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Korea.
Heetak LeeDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Korea.
Seong Kyu HanDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Korea.
Sanguk KimDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Korea; School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The modular architecture of protein-protein interaction (PPI) networks is evident in diverse species with a wide range of complexity. However, the molecular components that lead to the evolution of modularity in PPI networks have not been clearly identified. Here, we show that weak domain-linear motif interactions (DLIs) are more likely to connect different biological modules than strong domain-domain interactions (DDIs). This molecular division of labor is essential for the evolution of modularity in the complex PPI networks of diverse eukaryotic species. In particular, DLIs may compensate for the reduction in module boundaries that originate from increased connections between different modules in complex PPI networks. In addition, we show that the identification of biological modules can be greatly improved by including molecular characteristics of protein interactions. Our findings suggest that transient interactions have played a unique role in shaping the architecture and modularity of biological networks over the course of evolution.

Indexed as

Biological EvolutionModels, BiologicalProtein Structure, TertiaryAnimalsComputational BiologyHumansMiceProtein Interaction Maps

Identifiers

PMID25299147
PMCPMC4191887

What OpenQuestion holds

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LicenceCC BY
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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.