Evidence map›Paper›PMID 29167739›Full record

ArticleF1000Research2017

Measuring evolutionary rates of proteins in a structural context.

Dariya K Sydykova, Benjamin R Jack, Stephanie J Spielman, Claus O Wilke

Abstract read
In one paragraph

Article in F1000Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Improved prediction of site-rates from structure with averaging across homologs.Protein science : a publication of the Protein Society · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Phylogenomic analyses and distribution of terpene synthases amongBeilstein journal of organic chemistry · 2019
    Article
  10. Article
  11. 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

4 authors.

Dariya K SydykovaDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, 78712, USA.
Benjamin R JackDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, 78712, USA.ORCID https://orcid.org/0000-0001-7777-1653
Stephanie J SpielmanInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, 19122, USA.
Claus O WilkeDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, 78712, USA.ORCID https://orcid.org/0000-0002-7470-9261

Funding

The biophysical basis of translational selectionR01GM088344 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN, WILKE, CLAUS O · 2009 to 2023
$3.5M
Identifying Mutations that Promote Microbial EvolvabilityK99GM087550 · NIGMS · MICHIGAN STATE UNIVERSITY · PI BARRICK, JEFFREY EVAN · 2009 to 2010
$180k
NIGMS NIH HHS K99 GM087550NIGMS NIH HHS R01 GM088344
6 · The paper itself

Abstract

We describe how to measure site-specific rates of evolution in protein-coding genes and how to correlate these rates with structural features of the expressed protein, such as relative solvent accessibility, secondary structure, or weighted contact number. We present two alternative approaches to rate calculations: One based on relative amino-acid rates, and the other based on site-specific codon rates measured as

Indexed as

evolutionary ratemultiple sequence alignmentProtein evolutionprotein structurerelative solvent accessibilityweighted contact number

Identifiers

PMID29167739
PMCPMC5676193

What OpenQuestion holds

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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.