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AI-Guided Pythia Steers CRISPR Edits Toward Precise DNA Integration

Pythia predicts cellular DNA repair outcomes to guide microhomology template design for precise edits in preclinical cell and animal models.

Overview

  • Pythia uses deep-learning models to simulate millions of DNA repair scenarios, identifying optimal microhomology templates for targeted integration.
  • AI-designed repair templates act as molecular glue to direct CRISPR/Cas9 cuts toward predictable, precise integrations instead of random end-joining.
  • Researchers demonstrated precise integration at 32 human genomic loci in HEK cells, with subsequent successful edits in frog embryos and live mouse brain cells.
  • Compatibility with nondividing tissues enables direct protein labeling and targeted gene integration, highlighting potential for neurological gene therapies.
  • Although preclinical results are promising, Pythia must undergo extensive safety testing, off-target evaluation and translational work before clinical use.