Mona Pacholska
E736809
Mona Pacholska is a researcher who co-authored the influential 2021 Nature paper by Jumper et al. that introduced the breakthrough AlphaFold protein structure prediction system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mona Pacholska canonical | 1 |
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
researcher
ⓘ
scientist ⓘ |
| associatedWith | AlphaFold project NERFINISHED ⓘ |
| authorNameOnPaper | M. Pacholska NERFINISHED ⓘ |
| citationImpact | co-authored a highly cited Nature paper on AlphaFold ⓘ |
| coAuthorOf | 2021 Nature paper "Highly accurate protein structure prediction with AlphaFold" NERFINISHED ⓘ |
| coAuthorWith |
Alexander Pritzel
NERFINISHED
ⓘ
Andrew Cowie NERFINISHED ⓘ Andrew J. Ballard NERFINISHED ⓘ Anna Bridgland NERFINISHED ⓘ Augustin Žídek NERFINISHED ⓘ Bernhard Gerhard Schalk NERFINISHED ⓘ Charlie Meyer NERFINISHED ⓘ D. Silver NERFINISHED ⓘ Demis Hassabis NERFINISHED ⓘ John Jumper NERFINISHED ⓘ K. Kavukcuoglu NERFINISHED ⓘ Kathryn Tunyasuvunakool NERFINISHED ⓘ M. B. Gorlich NERFINISHED ⓘ M. R. Berghammer NERFINISHED ⓘ Michael Figurnov NERFINISHED ⓘ Olaf Ronneberger NERFINISHED ⓘ Richard Evans NERFINISHED ⓘ Russ Bates NERFINISHED ⓘ S. Bodenstein NERFINISHED ⓘ Simon A. A. Kohl NERFINISHED ⓘ Tim Green NERFINISHED ⓘ |
| contributedTo |
demonstration of near-experimental accuracy in protein structure prediction
ⓘ
development and validation of AlphaFold system ⓘ |
| fieldOfWork |
artificial intelligence in biology
ⓘ
computational biology ⓘ protein structure prediction ⓘ |
| hasNotableWork | "Highly accurate protein structure prediction with AlphaFold" ⓘ |
| knownFor |
co-authoring the 2021 Nature paper on AlphaFold
ⓘ
work on AlphaFold protein structure prediction system ⓘ |
| publicationYear | 2021 ⓘ |
| publishedIn | Nature NERFINISHED ⓘ |
| researchArea |
bioinformatics
ⓘ
deep learning for structural biology ⓘ |
| worksOn | machine-learning-based protein structure prediction ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.