Evidence map›Paper›PMID 22204388›Full record

ReviewGenome biology2011

Evolution of biological interaction networks: from models to real data.

Mark G F Sun, Philip M Kim

Abstract readReview
In one paragraph

Review in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. PhyloSystemX: Enhancing the Analysis of Interaction Networks.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Evolutionary Bioinformatics Expands its Breadth.Evolutionary bioinformatics online · 2026
    Article
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  6. SystematicFrontiers in chemistry · 2021
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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.

Mark G F SunDepartment of Computer Science, University of Toronto, 160 College St, Toronto, Ontario, Canada.
Philip M Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We are beginning to uncover common mechanisms leading to the evolution of biological networks. The driving force behind these advances is the increasing availability of comparative data in several species.

Indexed as

Biological EvolutionGene Regulatory NetworksMetabolic Networks and PathwaysAnimalsHumansModels, GeneticProtein Interaction MappingSystems BiologyTranscription FactorsTranscription Factors

Identifiers

PMID22204388
PMCPMC3334609

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.