Evidence map›Paper›PMID 18282095›Full record

ArticlePLoS pathogens2008

The landscape of human proteins interacting with viruses and other pathogens.

Matthew D Dyer, T M Murali, Bruno W Sobral

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 2 pooled it
13.7field-weighted citation impact, top 1% 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

172 citing papers in PubMed, 2 syntheses or guidelines pooled it, 338 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Predicting Motif-Mediated Interactions Based on Viral Genomic Composition.International journal of molecular sciences · 2025
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  10. Viruses traverse the human proteome through peptide interfaces that can be biomimetically leveraged for drug discovery.Proceedings of the National Academy of Sciences of the United States of America · 2024
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112 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Matthew D DyerGenetics, Bioinformatics, and Computational Biology Program, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.
T M Murali
Bruno W Sobral
Virginia Tech · US

Funding

PHS HHS HHSN26620040035C
6 · The paper itself

Abstract

Infectious diseases result in millions of deaths each year. Mechanisms of infection have been studied in detail for many pathogens. However, many questions are relatively unexplored. What are the properties of human proteins that interact with pathogens? Do pathogens interact with certain functional classes of human proteins? Which infection mechanisms and pathways are commonly triggered by multiple pathogens? In this paper, to our knowledge, we provide the first study of the landscape of human proteins interacting with pathogens. We integrate human-pathogen protein-protein interactions (PPIs) for 190 pathogen strains from seven public databases. Nearly all of the 10,477 human-pathogen PPIs are for viral systems (98.3%), with the majority belonging to the human-HIV system (77.9%). We find that both viral and bacterial pathogens tend to interact with hubs (proteins with many interacting partners) and bottlenecks (proteins that are central to many paths in the network) in the human PPI network. We construct separate sets of human proteins interacting with bacterial pathogens, viral pathogens, and those interacting with multiple bacteria and with multiple viruses. Gene Ontology functions enriched in these sets reveal a number of processes, such as cell cycle regulation, nuclear transport, and immune response that participate in interactions with different pathogens. Our results provide the first global view of strategies used by pathogens to subvert human cellular processes and infect human cells. Supplementary data accompanying this paper is available at http://staff.vbi.vt.edu/dyermd/publications/dyer2008a.html.

Indexed as

Computational BiologyDatabases, ProteinBacterial ProteinsHost-Pathogen InteractionsHumansProtein BindingProtein Interaction MappingProteinsProteomeProtozoan ProteinsViral ProteinsVirusesBacterial ProteinsProteinsProteomeProtozoan ProteinsViral Proteins

Identifiers

PMID18282095
PMCPMC2242834
OpenAlexW2131858707

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.