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Biotech

Protein Structure Prediction

AI-predicted protein structures with atomic precision

Overview

This case study demonstrates the application of deep learning models for protein structure prediction, achieving 94.2% confidence scores on benchmark datasets.

Key Results

  • 94.2% confidence score on CASP14 benchmark
  • Reduced computation time by 60% compared to traditional methods
  • Successfully predicted structures for 500+ novel proteins

References

Jumper, J., et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature, 596(7873), 583-589.