Evidence map›Paper›PMID 25609797›Full record

ArticleBioinformatics (Oxford, England)2015

Topology-function conservation in protein-protein interaction networks.

Darren Davis, Ömer Nebil Yaveroğlu, Noël Malod-Dognin, Aleksandar Stojmirovic, Nataša Pržulj

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 88 citations in OpenAlex.

  1. New GO-based measures in multiple network alignment.Bioinformatics (Oxford, England) · 2024
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  5. Linear functional organization of the omic embedding space.Bioinformatics (Oxford, England) · 2021
    Article
  6. Computationally Reconstructed Interactome ofInternational journal of molecular sciences · 2021
    Article
  7. Article
  8. Article
  9. Prediction of Human-Bioinformatics and biology insights · 2021
    Article
  10. Article
  11. Chromatin network markers of leukemia.Bioinformatics (Oxford, England) · 2020
    Article
  12. Functional geometry of protein interactomes.Bioinformatics (Oxford, England) · 2019
    Article
  13. Towards a data-integrated cell.Nature communications · 2019
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

5 authors at 2 institutions in 2 countries.

Darren DavisCalifornia Institute of Telecommunications and Technology (Calit2), University of California Irvine, Irvine, CA, USA, Department of Computing, Imperial College London, London, UK, National Center for Biotechnology Information (NCBI), Bethesda, MD, USA and Janssen Research and Development, LLC, Spring House, PA, USA.
Ömer Nebil YaveroğluCalifornia Institute of Telecommunications and Technology (Calit2), University of California Irvine, Irvine, CA, USA, Department of Computing, Imperial College London, London, UK, National Center for Biotechnology Information (NCBI), Bethesda, MD, USA and Janssen Research and Development, LLC, Spring House, PA, USA California Institute of Telecommunications and Technology (Calit2), University of California Irvine, Irvine, CA, USA, Department of Computing, Imperial College London, London, UK, National Center for Biotechnology Information (NCBI), Bethesda, MD, USA and Janssen Research and Development, LLC, Spring House, PA, USA.
Noël Malod-DogninCalifornia Institute of Telecommunications and Technology (Calit2), University of California Irvine, Irvine, CA, USA, Department of Computing, Imperial College London, London, UK, National Center for Biotechnology Information (NCBI), Bethesda, MD, USA and Janssen Research and Development, LLC, Spring House, PA, USA.
Aleksandar StojmirovicCalifornia Institute of Telecommunications and Technology (Calit2), University of California Irvine, Irvine, CA, USA, Department of Computing, Imperial College London, London, UK, National Center for Biotechnology Information (NCBI), Bethesda, MD, USA and Janssen Research and Development, LLC, Spring House, PA, USA California Institute of Telecommunications and Technology (Calit2), University of California Irvine, Irvine, CA, USA, Department of Computing, Imperial College London, London, UK, National Center for Biotechnology Information (NCBI), Bethesda, MD, USA and Janssen Research and Development, LLC, Spring House, PA, USA.
Nataša PržuljCalifornia Institute of Telecommunications and Technology (Calit2), University of California Irvine, Irvine, CA, USA, Department of Computing, Imperial College London, London, UK, National Center for Biotechnology Information (NCBI), Bethesda, MD, USA and Janssen Research and Development, LLC, Spring House, PA, USA.
Imperial College London · GBNational Center for Biotechnology Information · US

Funding

Intramural NIH HHS
6 · The paper itself

Abstract

motivationProteins underlay the functioning of a cell and the wiring of proteins in protein-protein interaction network (PIN) relates to their biological functions. Proteins with similar wiring in the PIN (topology around them) have been shown to have similar functions. This property has been successfully exploited for predicting protein functions. Topological similarity is also used to guide network alignment algorithms that find similarly wired proteins between PINs of different species; these similarities are used to transfer annotation across PINs, e.g. from model organisms to human. To refine these functional predictions and annotation transfers, we need to gain insight into the variability of the topology-function relationships. For example, a function may be significantly associated with specific topologies, while another function may be weakly associated with several different topologies. Also, the topology-function relationships may differ between different species.

resultsTo improve our understanding of topology-function relationships and of their conservation among species, we develop a statistical framework that is built upon canonical correlation analysis. Using the graphlet degrees to represent the wiring around proteins in PINs and gene ontology (GO) annotations to describe their functions, our framework: (i) characterizes statistically significant topology-function relationships in a given species, and (ii) uncovers the functions that have conserved topology in PINs of different species, which we term topologically orthologous functions. We apply our framework to PINs of yeast and human, identifying seven biological process and two cellular component GO terms to be topologically orthologous for the two organisms.

Indexed as

AlgorithmsGene Regulatory NetworksComputational BiologyConserved SequenceGene OntologyHumansMolecular Sequence AnnotationProtein Interaction MappingProteinsSaccharomyces cerevisiaeProteins

Identifiers

PMID25609797
PMCPMC4426845
OpenAlexW2101770419

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.