Evidence map›Paper›PMID 30031213›Full record

ReviewSeminars in cell & developmental biology2020

Protein-protein interactions of human viruses.

Norman Goodacre, Prajwal Devkota, Eunhae Bae, Stefan Wuchty, Peter Uetz

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Controllability Analysis of Intercellular Protein-Protein Interaction Networks.Computational and structural biotechnology journal · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Measuring criticality in control of complex biological networks.NPJ systems biology and applications · 2024
    Article
  12. Article
  13. Bioinformatics approaches for unveiling virus-host interactions.Computational and structural biotechnology journal · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review
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 3 institutions in 1 country.

Norman GoodacreDivision of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Prajwal DevkotaDept. of Computer Science, Univ. of Miami, Coral Gables, FL, 33146, USA.
Eunhae BaeDivision of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Stefan WuchtyDept. of Computer Science, Univ. of Miami, Coral Gables, FL, 33146, USA; Center for Computational Science, Univ. of Miami, Coral Gables, FL, 33146, USA; Dept. of Biology, Univ. of Miami, Coral Gables, FL, 33146, USA; Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA. Electronic address: wuchtys@cs.miami.edu.
Peter UetzCenter for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, 23284, USA. Electronic address: peter@uetz.us.
Center for Biologics Evaluation and Research · USUniversity of Miami · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses infect their human hosts by a series of interactions between viral and host proteins, indicating that detailed knowledge of such virus-host interaction interfaces are critical for our understanding of viral infection mechanisms, disease etiology and the development of new drugs. In this review, we primarily survey human host-virus interaction data that are available from public databases following the standardized PSI-MS format. Notably, available host-virus protein interaction information is strongly biased toward a small number of virus families including herpesviridae, papillomaviridae, orthomyxoviridae and retroviridae. While we explore the reliability and relevance of these protein interactions we also survey the current knowledge about viruses functional and topological targets. Furthermore, we assess emerging frontiers of host-virus protein interaction research, focusing on protein interaction interfaces of hosts that are infected by different viruses and viruses that infect multiple hosts. Finally, we cover the current status of research that investigates the relationships of virus-targeted host proteins to other comorbidities as well as the influence of host-virus protein interactions on human metabolism.

Indexed as

Host-Pathogen InteractionsProtein Interaction MapsHumansProtein BindingViral ProteinsVirusesViral ProteinsBurden of diseaseInteraction databasesPhageProtein interaction network

Identifiers

PMID30031213
PMCPMC7102568
OpenAlexW2883137045

What OpenQuestion holds

Textmetadata
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.