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June 20, 2026Annual Review of Virology

Studying the Deep Evolution of Viruses in the Era of Artificial Intelligence Structure Prediction

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Authors

SLSpyros LytrasMGMahan GhafariJGJoe Grove

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Overview

Review examines AI structure prediction's impact on understanding viral evolution, suggesting new insights and challenges.

Key Points

  • This review aims to explore how AI-based protein structure predictions enhance our understanding of deep viral evolution.
  • Examined the effects of AI-based protein structure prediction methods on viral evolution studies.
  • Discussed strengths and limitations of these methods in addressing evolutionary questions.
  • Assessed the integration of structure and sequence in structural phylogenetics.
  • AI-enabled structure prediction can illuminate previously unexplored viral sequences in metagenomic datasets.
  • Structural phylogenetics presents challenges in integrating structure and sequence data for reconstructing evolution.
  • Systematic structure prediction offers potential to advance our understanding of deep virosphere evolution.

Cite This Study

Lytras et al. (2026) studied this question.

synapsesocial.com/papers/6a362fbcdb0793dc1a53725ahttps://doi.org/10.1146/annurev-virology-100424-122154
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