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May 2, 2026

PhyloSystemX: Enhancing the Analysis of Interaction Networks.

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Authors

HBHugo BonnefousYZYu ZhangPLPhilippe Lopez

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Overview

Randomized trial enhances analysis of evolutionary histories in biological interaction networks, indicating new insights.

Key Points

  • The aim is to develop a computational tool that reconstructs ancestral biological interaction networks using phylogenetic data.
  • Integration of phylogenetic species trees with modern interaction data.
  • Implementation of parsimony-based algorithms (Dollo and Sankoff adjusted algorithm).
  • Analysis of various network types, including protein-protein interactions and gene co-expression.
  • PhyloSystemX successfully infers ancestral vertices and their interactions across evolutionary time.
  • Identifies evolutionarily conserved functional modules and lineage-specific innovations.
  • Addresses limitations of existing tools by analyzing any network with homology identifiers.

Cite This Study

Bonnefous et al. (2026) studied this question.

synapsesocial.com/papers/69f5945c71405d493afff32fhttps://doi.org/10.1007/978-1-0716-4836-0_5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Searching for Phylogenetic Networks.2026
  2. 2phyloDB: A framework for large-scale phylogenetic analysis of sequence based typing data2024 · 2 citations
  3. 3Evolving view on phylogenetic networks2026
  4. 4Transformations to simplify phylogenetic networks2024
  5. 5PhyloJunction: a computational framework for simulating, developing, and teaching evolutionary models2024 · 1 citations