Michal Zielinski
E736808
Michal Zielinski is a researcher who contributed as a co-author to the landmark 2021 Nature paper on AlphaFold by Jumper et al., which revolutionized protein structure prediction using deep learning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michal Zielinski canonical | 1 |
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
deep learning model
ⓘ
protein structure prediction system ⓘ researcher ⓘ scientific article ⓘ scientist ⓘ |
| basedOn |
artificial intelligence
ⓘ
deep learning ⓘ |
| coAuthorOf | Highly accurate protein structure prediction with AlphaFold NERFINISHED ⓘ |
| contributedTo | AlphaFold NERFINISHED ⓘ |
| developer | DeepMind NERFINISHED ⓘ |
| fieldOfWork |
computational biology
ⓘ
computational biology ⓘ deep learning ⓘ machine learning ⓘ protein structure prediction ⓘ structural biology ⓘ |
| hasRole | co-author ⓘ |
| knownFor |
contributions to protein structure prediction using deep learning
ⓘ
work on AlphaFold ⓘ |
| mainSubject |
AlphaFold
NERFINISHED
ⓘ
protein structure prediction ⓘ |
| notablePublication | Highly accurate protein structure prediction with AlphaFold ⓘ |
| notableWork | co-author of 2021 Nature AlphaFold paper by Jumper et al. ⓘ |
| publicationYear | 2021 ⓘ |
| publishedIn | Nature NERFINISHED ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.