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August 15, 2025Current Opinion in Structural BiologyOpen Access

Generative AI techniques for conformational diversity and evolutionary adaptation of proteins

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Authors

ABAlfie-Louise R. BrownlessDYDariia YehorovaCWColin L. Welsh

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Overview

Generative AI techniques enhance protein structure prediction and conformational diversity, suggesting new research avenues.

Key Points

  • Generative AI remarkably improves protein structure and conformational diversity, highlighting its growing importance in molecular biology.
  • Key applications involve structural prediction and design, conformational ensemble generation, and identifying functional sites in proteins.
  • Applications rely on extensive datasets from the Protein Data Bank and genome sequence databases for model training.
  • The rapid advancements in AI are paving the way for deeper insights and capabilities in studying protein dynamics.

Cite This Study

Brownless et al. (2025) studied this question.

synapsesocial.com/papers/68af2b68cf1dd9ea359e4ec0https://doi.org/10.1016/j.sbi.2025.103135
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