Embedded Files
Features in the press about our work:
About our Lee* et al. 2023 Nature Computational Science paper on the first score-based generative (diffusion) model for de novo protein design:
AI system can create novel proteins using generative diffusion - Medical News
University of Toronto researchers use generative AI to design novel proteins - Bioengineer.com
Researchers use generative AI to design novel proteins - Phys.org
Toronto researchers utilize AI to create novel proteins - Mirage News
Also many otherr places, including a total 14 press articles, UofT News, Temerty News, Donnelly News and The Economist.
About our Nim*, O'hara* et al. 2023 Nature Communications paper on developing a new protein-protein interaction inhibitor that shows promise for treatment of Parkinson's Disease:
New Potential Parkinson’s Disease Target Identified - G&EN News
Researchers identify a potential new therapeutic target in Parkinson's disease - Medical Express
Novel Therapeutic Target for Parkinson’s Disease Identified - Technology Networks
Researchers identify a potential new therapeutic target in Parkinson's disease - Science Daily
Also many other places, including a total of 17 press articles and UofT News.
About our Ishikawa*, Abdin* et al. 2023 Nature Biotech paper on designing Zinc Finger proteins using deep learning:
Model transforms zinc finger design into 'push-button' technology - Bioworld
New zinc finger model shows promise for gene therapy - EurekAlert
Zinc Finger Design AI Tool Opens Door to Large-Scale Gene Therapies - G&EN News
New AI Tool Makes Speedy Gene-Editing Possible - AP News
And many others, a total of 85 press articles and UofT News, Temerty News and Donnelly News.
About our Valiente el al. 2021 J Med Chem paper on designing mirror image peptide as potential covid-19 therapeutics:
Ontario researchers create chemical compounds that can neutralize COVID-19, some variants - CTV News / CTV Your Morning
U of T researchers discover a new way to take on COVID-19. - Toronto Star
Toronto researchers create mirror-image peptides that can neutralize SARS-CoV-2 - EurekAlert
Donnelly Centre investigators create mirror-image peptides capable of neutralizing Sars-CoV-2 - Donnelly Centre news
U of T researchers create mirror-image peptides that can neutralize SARS-CoV-2 - U of T News
About our Strokach et al. 2020 Cell Systems paper on deep learning based protein design:
A Sudoku-Solving Algorithm Holds Promise for Protein Medicine - PhysOrg News
Sudoku-inspired deep graph neural networks solve protein design - Faculty of Medicine News (and Donnelly Centre news)
Deep learning based protein design - EurekAlert
About our Garton et al. 2018 PNAS paper on mirror image peptides:
Protein mirror images could generate long-lasting biologics - Chemical and Engineering News
Mirror Image Compounds Could Help Drugs Last Longer - Futurism
U of T scientists create mirror-image molecules to develop better medicines - U of T News
Mirror Image Peptides Seen as Promising Therapeutics - Biocompare
Through the looking glass: New mirror-image molecules could lead to better medicines - ScienceDaily
About our Sun, Seo et al. 2016 Science Adv paper on integrated protein engineering:
A more powerful way to develop therapeutics - U of T News
Computer aided protein engineering - Faculty of Medicine News
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