Evidence map›Paper›PMID 18381899›Full record

ReviewGenome research2008

Protein networks in disease.

Trey Ideker, Roded Sharan

Abstract readReview
In one paragraph

Review in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 372 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
372citing papers in PubMed, 1 pooled it
–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

372 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. MS-Based Proteomics Approach in Mapping Protein-Protein Interaction.Advances in experimental medicine and biology · 2026
    Review
  6. The association betweenFrontiers in genetics · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Network Medicine: A Potential Approach for Virtual Drug Screening.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

312 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

2 authors.

Trey IdekerDepartment of Bioengineering, University of California at San Diego, La Jolla, California 92093, USA.
Roded Sharan

Funding

A Systems Approach to Mapping the DNA Damage ResponseR01ES014811 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2005 to 2021
$8.6M
Cytoscape: A Modeling Platform for Biomolecular NetworksR01GM070743 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2004 to 2016
$5.7M
NIEHS NIH HHS ES14811NIEHS NIH HHS R01 ES014811NIGMS NIH HHS GM070743NIGMS NIH HHS R01 GM070743
6 · The paper itself

Abstract

During a decade of proof-of-principle analysis in model organisms, protein networks have been used to further the study of molecular evolution, to gain insight into the robustness of cells to perturbation, and for assignment of new protein functions. Following these analyses, and with the recent rise of protein interaction measurements in mammals, protein networks are increasingly serving as tools to unravel the molecular basis of disease. We review promising applications of protein networks to disease in four major areas: identifying new disease genes; the study of their network properties; identifying disease-related subnetworks; and network-based disease classification. Applications in infectious disease, personalized medicine, and pharmacology are also forthcoming as the available protein network information improves in quality and coverage.

Indexed as

Genetic Predisposition to DiseaseProtein Interaction MappingCase-Control StudiesDiseaseFungal ProteinsGene Expression Regulation, NeoplasticGene Regulatory NetworksGenetic Diseases, InbornHumansHuntington DiseasePhenotypeYeastsFungal Proteins

Identifiers

PMID18381899
PMCPMC3863981

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.