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October 18, 2025PLoS Computational BiologyOpen Access

PPI-ID: Streamlining protein-protein interaction prediction through domain and SLiM mapping

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Authors

HGHaley V. GoodwinThe University of Texas at AustinNANigel S. AtkinsonThe University of Texas at Austin

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Implication

Observational analysis predicts protein-protein interactions using domain and motif mapping, suggesting improved structural modeling.

Key Points

  • PPI-ID identifies and maps protein interaction domains, improving accuracy in predicting protein-protein interactions.
  • High accuracy was confirmed when testing known dimers, showing the effectiveness of PPI-ID in structural modeling.
  • The tool reduces computational demand by focusing solely on relevant domains and motifs for interactions.
  • Given only sequences, PPI-ID forecasts regions for AlphaFold-Multimer modeling for better predictive outcomes.

Cite This Study

Goodwin et al. (2025) studied this question.

synapsesocial.com/papers/68f3793258f37cefb60d350chttps://doi.org/10.1371/journal.pcbi.1013062
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