Evidence map›Paper›PMID 33486547›Full record

ArticleJournal of molecular evolution2021

Ancestral Sequence Reconstruction: From Chemical Paleogenetics to Maximum Likelihood Algorithms and Beyond.

Avery G A Selberg, Eric A Gaucher, David A Liberles

Abstract read
In one paragraph

Article in Journal of molecular evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Substrate scope of ancestral versus modern family-1 glycosidases.Protein science : a publication of the Protein Society · 2026
    Article
  4. Article
  5. Applications of ancestral sequence reconstruction for understanding the evolution of plant specialized metabolism.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Ancestral Sequence Reconstruction for Exploring Alkaloid Evolution.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  17. Review
  18. Article
  19. Setting the stage for evolution of a new enzyme.Current opinion in structural biology · 2021
    Review
  20. The Journal of Molecular Evolution Turns 50.Journal of molecular evolution · 2021
    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.

Avery G A SelbergDepartment of Biology and Center for Computational Genetics and Genomics, Temple University, Philadelphia, PA, 19122, USA.
Eric A GaucherDepartment of Biology, Georgia State University, Atlanta, GA, 30303, USA.
David A LiberlesDepartment of Biology and Center for Computational Genetics and Genomics, Temple University, Philadelphia, PA, 19122, USA. daliberles@temple.edu.ORCID http://orcid.org/0000-0003-3487-8826

Funding

Evolution of urate metabolismR01AR069137 · NIAMS · GEORGIA STATE UNIVERSITY · PI GAUCHER, ERIC · 2016 to 2021
$1.5M
NIAMS NIH HHS R01 AR069137
6 · The paper itself

Abstract

As both a computational and an experimental endeavor, ancestral sequence reconstruction remains a timely and important technique. Modern approaches to conduct ancestral sequence reconstruction for proteins are built upon a conceptual framework from journal founder Emile Zuckerkandl. On top of this, work on maximum likelihood phylogenetics published in Journal of Molecular Evolution in 1996 was one of the first approaches for generating maximum likelihood ancestral sequences of proteins. From its computational history, future model development needs as well as potential applications in areas as diverse as computational systems biology, molecular community ecology, infectious disease therapeutics and other biomedical applications, and biotechnology are discussed. From its past in this journal, there is a bright future for ancestral sequence reconstruction in the field of evolutionary biology.

Indexed as

AlgorithmsEvolution, MolecularLikelihood FunctionsPhylogenyProteinsProteins

Identifiers

PMID33486547
PMCPMC7828096

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.