Evidence map›Paper›PMID 15883883›Full record

ArticleJournal of molecular evolution2005

Universal sharing patterns in proteomes and evolution of protein fold architecture and life.

Gustavo Caetano-Anollés, Derek Caetano-Anollés

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Article in Journal of molecular evolution, 2005. 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
–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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Protein folds as synapomorphies of the tree of life.Evolution; international journal of organic evolution · 2022
    Article
  6. Article
  7. Article
  8. Evolutionary optimization of protein folding.PLoS computational biology · 2013
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Detecting evolutionary relationships across existing fold space, using sequence order-independent profile-profile alignments.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  18. Article
  19. The origin of modern metabolic networks inferred from phylogenomic analysis of protein architecture.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
  20. Article
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.

Gustavo Caetano-AnollésDepartment of Crop Sciences, University of Illinois, 332 NSRC, 1101 West Peabody Drive, Urbana, IL, 61801, USA. gca@uiuc.edu
Derek Caetano-Anollés

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein evolution is imprinted in both the sequence and the structure of evolutionary building blocks known as protein domains. These domains share a common ancestry and can be unified into a comparatively small set of folding architectures, the protein folds. We have traced the distribution of protein folds between and within proteomes belonging to Eukarya, Archaea, and Bacteria along the branches of a universal phylogeny of protein architecture. This tree was reconstructed from global fold-usage statistics derived from a structural census of proteomes. We found that folds shared by the three organismal domains were placed almost exclusively at the base of the rooted tree and that there were marked heterogeneities in fold distribution and clear evolutionary patterns related to protein architecture and organismal diversification. These include a relative timing for the emergence of prokaryotes, congruent episodes of architectural loss and diversification in Archaea and Bacteria, and a late and quite massive rise of architectural novelties in Eukarya perhaps linked to multicellularity.

Indexed as

Evolution, MolecularLifeProtein FoldingProteomeProteome

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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.