# John Jumper — Patents explained on PatentBrief

John Jumper has 2 landmark patents explained in plain English on PatentBrief.

- [AI Predicts 3D Protein Shapes from Genetic Code](https://patentbrief.org/patent/us/20240412809/protein-structure-prediction-from-amino-acid-sequences-using-self-attention-neur)
  This patent describes how a computer uses self-attention neural networks to predict the complex three-dimensional shape of a protein based on its simple amino acid sequence, a process crucial for understanding biology and developing new medicines.
- [Using AI to Predict Protein Shapes for Drug Discovery](https://patentbrief.org/patent/us/12437843/predicting-protein-structures-using-geometry-neural-networks-that-estimate-simil) — granted 2025
  This patent describes an AI-driven method for iteratively predicting protein 3D structures using a geometry neural network, then using those predictions to find and synthesize new drug molecules.

**Full profile:** https://patentbrief.org/inventor/john-jumper

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_Source: PatentBrief — https://patentbrief.org. Plain-English explanations of US patents._