Evidence map›Paper›PMID 23400388›Full record

ReviewJournal of molecular evolution2013

Three independent determinants of protein evolutionary rate.

Sun Shim Choi, Sridhar Hannenhalli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The organelle of differentiation in embryos: the cell state splitter.Theoretical biology & medical modelling · 2016
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Determinants of expression variability.Nucleic acids research · 2014
    Article
  14. Linking molecular evolution to molecular grafting.The Journal of biological chemistry
    Review
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.

Sun Shim ChoiDepartment of Medical Biotechnology, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, South Korea. schoi@kangwon.ac.kr
Sridhar Hannenhalli

Funding

Methods for evolutionary analysis of eukaryotic transcriptional regulationR01GM085226 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2008 to 2011
$1.5M
NIGMS NIH HHS R01GM085226
6 · The paper itself

Abstract

One of the most widely accepted ideas related to the evolutionary rates of proteins is that functionally important residues or regions evolve slower than other regions, a reasonable outcome of which should be a slower evolutionary rate of the proteins with a higher density of functionally important sites. Oddly, the role of functional importance, mainly measured by essentiality, in determining evolutionary rate has been challenged in recent studies. Several variables other than protein essentiality, such as expression level, gene compactness, protein-protein interactions, etc., have been suggested to affect protein evolutionary rate. In the present review, we try to refine the concept of functional importance of a gene, and consider three factors-functional importance, expression level, and gene compactness, as independent determinants of evolutionary rate of a protein, based not only on their known correlation with evolutionary rate but also on a reasonable mechanistic model. We suggest a framework based on these mechanistic models to correctly interpret the correlations between evolutionary rates and the various variables as well as the interrelationships among the variables.

Indexed as

Evolution, MolecularMutation RateAnimalsGenesGenetic FitnessHumansModels, GeneticProtein BiosynthesisProtein FoldingProtein Interaction Domains and MotifsProteinsProteins

Identifiers

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.