Evidence map›Paper›PMID 21695233›Full record

ArticlePLoS computational biology2011

Testing the ortholog conjecture with comparative functional genomic data from mammals.

Nathan L Nehrt, Wyatt T Clark, Predrag Radivojac, Matthew W Hahn

Abstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Gene function predicts divergence across molecular levels.bioRxiv : the preprint server for biology · 2026
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  5. Article
  6. Article
  7. Review
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  10. Organismal complexity strongly correlates with the number of protein families and domains.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
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  14. TheInternational journal of molecular sciences · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The Theory of Gene Family Histories.Methods in molecular biology (Clifton, N.J.) · 2024
    Article

57 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Nathan L NehrtSchool of Informatics and Computing, Indiana University, Bloomington, Indiana, USA.
Wyatt T Clark
Predrag Radivojac
Matthew W Hahn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common assumption in comparative genomics is that orthologous genes share greater functional similarity than do paralogous genes (the "ortholog conjecture"). Many methods used to computationally predict protein function are based on this assumption, even though it is largely untested. Here we present the first large-scale test of the ortholog conjecture using comparative functional genomic data from human and mouse. We use the experimentally derived functions of more than 8,900 genes, as well as an independent microarray dataset, to directly assess our ability to predict function using both orthologs and paralogs. Both datasets show that paralogs are often a much better predictor of function than are orthologs, even at lower sequence identities. Among paralogs, those found within the same species are consistently more functionally similar than those found in a different species. We also find that paralogous pairs residing on the same chromosome are more functionally similar than those on different chromosomes, perhaps due to higher levels of interlocus gene conversion between these pairs. In addition to offering implications for the computational prediction of protein function, our results shed light on the relationship between sequence divergence and functional divergence. We conclude that the most important factor in the evolution of function is not amino acid sequence, but rather the cellular context in which proteins act.

Indexed as

Comparative Genomic HybridizationEvolution, MolecularGenesAnimalsGene DosageGene Expression ProfilingHumansMiceOligonucleotide Array Sequence AnalysisProteinsProteins

Identifiers

PMID21695233
PMCPMC3111532

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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.