Evidence map›Paper›PMID 35576593›Full record

ReviewAnnual review of virology2022

Systems Biology of Virus-Host Protein Interactions: From Hypothesis Generation to Mechanisms of Replication and Pathogenesis.

Priya S Shah, Nitin S Beesabathuni, Adam T Fishburn, Matthew W Kenaston, Shiaki A Minami, Oanh H Pham, Inglis Tucker

Abstract readReview
In one paragraph

Review in Annual review of virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Systems Virology at Scale.Current opinion in systems biology · 2025
    Article
  8. Article
  9. Article
  10. Growth Arrest and DNA Damage Protein 45A Promotes PPRV Replication via the Downregulation of TBK1 Expression to Inhibit IFN-β Signaling Pathway.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  11. Review
  12. Article
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  17. 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

7 authors.

Priya S ShahDepartment of Microbiology and Molecular Genetics, University of California, Davis, California, USA; email: prsshah@ucdavis.edu.
Nitin S BeesabathuniDepartment of Chemical Engineering, University of California, Davis, California, USA.
Adam T FishburnDepartment of Microbiology and Molecular Genetics, University of California, Davis, California, USA; email: prsshah@ucdavis.edu.
Matthew W KenastonDepartment of Microbiology and Molecular Genetics, University of California, Davis, California, USA; email: prsshah@ucdavis.edu.
Shiaki A MinamiDepartment of Chemical Engineering, University of California, Davis, California, USA.
Oanh H PhamDepartment of Microbiology and Molecular Genetics, University of California, Davis, California, USA; email: prsshah@ucdavis.edu.
Inglis TuckerDepartment of Microbiology and Molecular Genetics, University of California, Davis, California, USA; email: prsshah@ucdavis.edu.

Funding

Animal Models of Infectious Diseases Training ProgramT32AI060555 · NIAID · UNIVERSITY OF CALIFORNIA DAVIS · PI MCSORLEY, STEPHEN J · 2004 to 2025
$3.3M
NIAID NIH HHS T32 AI060555
6 · The paper itself

Abstract

As obligate intracellular parasites, all viruses must co-opt cellular machinery to facilitate their own replication. Viruses often co-opt these cellular pathways and processes through physical interactions between viral and host proteins. In addition to facilitating fundamental aspects of virus replication cycles, these virus-host protein interactions can also disrupt physiological functions of host proteins, causing disease that can be advantageous to the virus or simply a coincidence. Consequently, unraveling virus-host protein interactions can serve as a window into molecular mechanisms of virus replication and pathogenesis. Identifying virus-host protein interactions using unbiased systems biology approaches provides an avenue for hypothesis generation. This review highlights common systems biology approaches for identification of virus-host protein interactions and the mechanistic insights revealed by these methods. We also review conceptual innovations using comparative and integrative systems biology that can leverage global virus-host protein interaction data sets to more rapidly move from hypothesis generation to mechanism.

Indexed as

Host-Pathogen InteractionsVirusesSystems BiologyViral ProteinsVirus ReplicationViral Proteinsprotein interactionsproteomicssystems biology

Identifiers

PMID35576593
PMCPMC10150767

What OpenQuestion holds

Textmetadata
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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.