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Dr. John Jumper

Google DeepMind

2 Verified ArtifactsSource Checked & Attributed

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Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. John Jumper. Every entry undergoes editorial source verification.

RESEARCH Checked Sep 21, 2026

Accurate Structure Prediction of Biomolecular Interactions with AlphaFold 3

Co-led AlphaFold 3 research in Nature 2024, replacing Evoformer representations with a Diffusion Module to predict joint structures of proteins, nucleic acids (DNA/RNA), post-translational modifications, and small-molecule drugs.

Model & Execution Context:Pairformer architecture coupled with a 3D coordinate diffusion denoising module.

Scope & Limitations

Drug binding pocket predictions require experimental crystallization or binding assays for clinical drug validation.

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IMPLEMENTATION Checked Sep 21, 2026

AlphaFold 2: Computational Structural Biology Prediction Engine Across 200M+ Proteins

First author and technical architect of the open-source AlphaFold 2 computational system, predicting 3D coordinates of all cataloged proteins in the UniProt database with atomic precision.

Model & Execution Context:JAX/Haiku, Multiple Sequence Alignment (MSA) representations, structural recycling iterations.

Scope & Limitations

Computational requirements for long sequence complexes (>2000 residues) require high-memory GPUs (A100/H100).

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