Evidence map›Paper›PMID 40839422›Full record

ReviewGenome biology and evolution2025

Protein Structural Phylogenetics.

Caroline Puente-Lelievre, Ashar Malik, Jordan Douglas

Abstract readReview
In one paragraph

Review in Genome biology and evolution, 2025. 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. The Origins of GPCRs.International journal of molecular sciences · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Computational and structural biotechnology journal · 2026
    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.

Caroline Puente-LelievreSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-5763-9767
Ashar MalikSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-4396-5059
Jordan DouglasCentre for Computational Evolution, The University of Auckland, Auckland, New Zealand.ORCID 0000-0003-0371-9961

Funding

Alfred P. Sloan Foundation G-2021-16944Human Frontier Science Program RGY0072/2021
6 · The paper itself

Abstract

Protein structural phylogenetics is an interdisciplinary branch of molecular evolution that (i) uses 3D structural data to trace evolutionary histories, and (ii) uses these evolutionary relationships to explore the diversity of protein structures and their ancestral functions. The appeal in extracting phylogenetic information from protein structure lies in the greater conservation of protein structure compared with sequence, reflecting its resilience to mutation over long evolutionary timescales. Leveraging this information is particularly useful for examining relationships within the "twilight zone"-a region of low protein sequence similarity where it becomes challenging to resolve noise from signal. Historically, the field has been constrained by the limited availability of high-resolution structural data. However, recent breakthroughs in artificial intelligence have made high-quality protein structural data widely accessible. Although the methods for constructing phylogenetic trees from protein structures have progressed significantly from distance-based approaches used since the 1970s, this area of research still lags behind the advanced probabilistic models employed in sequence-based phylogenetics; particularly Bayesian and maximum likelihood approaches. This article reviews the current state of protein structural phylogenetics, outlines methods for extracting evolutionary insights from structural data, and highlights key applications and future directions. Due to the surge of newly available structural information, it is anticipated that sequence and structural data will become routinely integrated in phylogenetic analysis; poising us to venture further into the twilight zone and form cross-disciplinary and translational collaborations.

Indexed as

Evolution, MolecularPhylogenyProteinsProtein ConformationProteinsevolutionary biologymolecular evolutionphylogeneticsprotein structurereviewstructural phylogenetics

Identifiers

PMID40839422
PMCPMC12369579

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.