ArticleNature communications2025
multistrap: boosting phylogenetic analyses with structural information.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Rapid plastid isolation reveals the chloroplast proteome and structures of the chlororibosome large subunit and RuBisCO inbioRxiv : the preprint server for biology · 2026Article
- Evolving strategies for virus discovery.Microbial genomics · 2026Review
- Revealing deep evolutionary relationships between RNA viruses using predicted structural models of viral RNA polymerases.Molecular biology and evolution · 2026Article
- MD-Phylogeny: Constructing Statistically Supported Phylogenetic Trees from Protein Structures Using Molecular Dynamics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Recent advances in the inference of deep viral evolutionary history.Journal of virology · 2025Review
- Protein Structural Phylogenetics.Genome biology and evolution · 2025Review
- multistrap: boosting phylogenetic analyses with structural information.Nature communications · 2025Article
- Exploring the Structural Diversity and Evolution of the D1 Subunit of Photosystem II Using AlphaFold and Foldtree.Physiologia plantarumArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a phylogeny, trustworthy reliability branch support estimates are as important as the tree itself. We show that reliability support values based on bootstrapping can be improved by combining sequence and structural information from proteins. Our approach relies on the systematic comparison of homologous intra-molecular structural distances. These variations exhibit less saturation than sequence-based Hamming distances and support the computation of tree-like distance matrices resolvable into phylogenetic trees using distance-based methods such as minimum evolution. These trees bear strong similarities to their sequence-based counterparts and allow the estimation of bootstrap support values, but they are sufficiently distinct so that their information content may be combined. The combined sequence and structure bootstrap support values yield improved discrimination between correct and incorrect branches. In this work we show that our approach, named multistrap, is suitable for the improvement of bootstrap branch support values using both predicted and experimental 3D structures.
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Registered trials
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