Michal Zielinski
Michal Zielinski co-authored the Nature papers on AlphaFold 2 and AlphaFold 3, AI systems that predict protein and biomolecular structures. In 2021 he helped develop the data, analytics and inference systems for AlphaFold 2, and he co-authored a Nature study that applied the system to the human proteome. The AlphaFold 3 paper, published in May 2024, describes a model that predicts the joint structure of complexes including proteins, nucleic acids and small molecules. He also co-authored a November 2024 addendum to that paper. His most recent known affiliation is Google DeepMind, shown on the 2024 AlphaFold 3 paper.
- Now at
- Google DeepMind
- Works
- 5
- Citations
- 45,402
- h-index
- 2
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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2021
Data systems for AlphaFold 2
He helps develop the data, analytics and inference systems for AlphaFold 2, which Nature publishes in July 2021.
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July 2021
Structures for the human proteome
He co-authors the Nature paper that applies AlphaFold2 to the human proteome, published in July 2021.
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May 2024
AlphaFold 3 and molecular complexes
He co-authors the AlphaFold 3 paper, which Nature publishes in May 2024. The model predicts the joint structure of complexes including proteins, nucleic acids, small molecules, ions and modified residues.
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November 2024
An AlphaFold 3 addendum
In November 2024 he co-authors an addendum to the AlphaFold 3 paper, which points readers to the model's pseudocode in the Supplementary Information.
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Since 2024
A Google DeepMind affiliation
On the 2024 AlphaFold 3 paper he appears with a Google DeepMind affiliation.
Sources and credits
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- Highly accurate protein structure prediction with AlphaFold | Nature
- Highly accurate protein structure prediction with AlphaFold
- Highly accurate protein structure prediction for the human proteome | Nature
- Accurate structure prediction of biomolecular interactions with AlphaFold 3 | Nature
- Accurate structure prediction of biomolecular interactions with AlphaFold 3
- Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3