Evidence map›Paper›PMID 39761698›Full record

ArticleMolecular biology and evolution2025

Faithful Interpretation of Protein Structures through Weighted Persistent Homology Improves Evolutionary Distance Estimation.

Léa Bou Dagher, Dominique Madern, Philippe Malbos, Céline Brochier-Armanet

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Léa Bou DagherUniversite Claude Bernard Lyon 1, LBBE, UMR 5558, CNRS, VAS, Villeurbanne F-69622, France.ORCID 0000-0002-5512-2721
Dominique MadernUniv. Grenoble Alpes, CEA, CNRS, IBS, Grenoble 38000, France.ORCID 0000-0002-6760-4904
Philippe MalbosUniversité Claude Bernard Lyon 1, CNRS, Institut Camille Jordan, UMR5208, Villeurbanne F-69622, France.ORCID 0000-0003-4449-0091
Céline Brochier-ArmanetUniversite Claude Bernard Lyon 1, LBBE, UMR 5558, CNRS, VAS, Villeurbanne F-69622, France.ORCID 0000-0003-4669-3589

Funding

French National Research Agency ANR-22-CE02-0027Institut Français and Université Libanaise 129638RSAFAR
6 · The paper itself

Abstract

Phylogenetic inference is mainly based on sequence analysis and requires reliable alignments. This can be challenging, especially when sequences are highly divergent. In this context, the use of three-dimensional protein structures is a promising alternative. In a recent study, we introduced an original topological data analysis method based on persistent homology to estimate the evolutionary distances from structures. The method was successfully tested on 518 protein families representing 22,940 predicted structures. However, as anticipated, the reliability of the estimated evolutionary distances was impacted by the quality of the predicted structures and the presence of indels in the proteins. This paper introduces a new topological descriptor, called bio-topological marker (BTM), which provides a more faithful description of the structures, a topological analysis for estimating evolutionary distances from BTMs, and a new weight-filtering method adapted to protein structures. These new developments significantly improve the estimation of evolutionary distances and phylogenies inferred from structures.

Indexed as

Evolution, MolecularProteinsAlgorithmsPhylogenyProtein ConformationProteins3D structures vectorizationbio-topological markerindelsprotein 3D structurestructural phylogeny

Identifiers

PMID39761698
PMCPMC11789942

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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.