Evidence map›Paper›PMID 26260760›Full record

ArticleBMC systems biology2015

The organization of domains in proteins obeys Menzerath-Altmann's law of language.

Khuram Shahzad, Jay E Mittenthal, Gustavo Caetano-Anollés

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Secondary Structures of Proteins Follow Menzerath-Altmann Law.International journal of molecular sciences · 2022
    Article
  7. Linguistic laws in biology.Trends in ecology & evolution · 2022
    Review
  8. Article
  9. Article
  10. The Compressed Vocabulary of Microbial Life.Frontiers in microbiology · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Linguistic laws in chimpanzee gestural communication.Proceedings. Biological sciences · 2019
    Article
  16. Article
  17. Article
  18. Gelada vocal sequences follow Menzerath's linguistic law.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. A Dynamic Model for the Evolution of Protein Structure.Journal of molecular evolution · 2016
    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

3 authors at 1 institution in 1 country.

Khuram ShahzadIllinois Informatics Institute, Urbana, IL, 61801, USA. shahzad2@illinois.edu.
Jay E MittenthalDepartment of Cell and Developmental Biology, Urbana, IL, 61801, USA. mitten@life.illinois.edu.
Gustavo Caetano-AnollésIllinois Informatics Institute, Urbana, IL, 61801, USA. gca@illinois.edu.
Urbana University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe combination of domains in multidomain proteins enhances their function and structure but lengthens the molecules and increases their cost at cellular level.

methodsThe dependence of domain length on the number of domains a protein holds was surveyed for a set of 60 proteomes representing free-living organisms from all kingdoms of life. Distributions were fitted using non-linear functions and fitted parameters interpreted with a formulation of decreasing returns.

resultsWe find that domain length decreases with increasing number of domains in proteins, following the Menzerath-Altmann (MA) law of language. Highly significant negative correlations exist for the set of proteomes examined. Mathematically, the MA law expresses as a power law relationship that unfolds when molecular persistence P is a function of domain accretion. P holds two terms, one reflecting the matter-energy cost of adding domains and extending their length, the other reflecting how domain length and number impinges on information and biophysics. The pattern of diminishing returns can therefore be explained as a frustrated interplay between the strategies of economy, flexibility and robustness, matching previously observed trade-offs in the domain makeup of proteomes. Proteomes of Archaea, Fungi and to a lesser degree Plants show the largest push towards molecular economy, each at their own economic stratum. Fungi increase domain size in single domain proteins while reinforcing the pattern of diminishing returns. In contrast, Metazoa, and to lesser degrees Protista and Bacteria, relax economy. Metazoa achieves maximum flexibility and robustness by harboring compact molecules and complex domain organization, offering a new functional vocabulary for molecular biology.

conclusionsThe tendency of parts to decrease their size when systems enlarge is universal for language and music, and now for parts of macromolecules, extending the MA law to natural systems.

Indexed as

Evolution, MolecularLanguageAnimalsHumansProtein Structure, TertiaryProteomeProteomicsProteome

Identifiers

PMID26260760
PMCPMC4531524
OpenAlexW1789494378

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.