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Grant: Project Grant

University of Toronto

$1,021,276.00

Genome targeting by highly accurate design of Zinc Fingers to enable novel therapeutics and research tools

EF 2022-23

Résumé
Tools like CRISPR have led a revolution in biomedical science. Its main advantage is the ease with which it can target a given location in the genome and either cut or otherwise modify it. On the other hand, it has fundamental disadvantages for applications as therapeutics that have to be directly administered to the patient. For instance, as CRISPR is derived from bacteria, it elicits an immune response in humans both to the detriment of efficacy and potentially dangerous to the patient. Zinc Fingers, on the other hand, do not suffer from those disadvantages and are ideally suited for direct administration to patients. However, the difficulty of engineering them to target given specific locations in the genome has severely hampered their developed. We here propose to use the power of modern artificial intelligence methods, combined with large-scale screens to effectively design Zinc Finger proteins as easily as CRISPR, thereby erasing any advantage the latter may have held, while simultaneously enabling novel therapeutic applications that have been hitherto not possible using CRISPR based approaches.
Programme
Project Grant
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
479699
Name
Kim Philip M
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
Genome targeting by highly accurate design of Zinc Fingers to enable novel therapeutics and research tools
Programtype2
Operating Grants
Orgnameinp2
University of Toronto
Cihramount2
$1,021,276
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Deep Learning; Epigenetic Editing; Gene Editing; Gene Regulation; Genome Targeting; Machine Learning; Zinc Finger
Abstract
Tools like CRISPR have led a revolution in biomedical science. Its main advantage is the ease with which it can target a given location in the genome and either cut or otherwise modify it. On the other hand, it has fundamental disadvantages for applications as therapeutics that have to be directly administered to the patient. For instance, as CRISPR is derived from bacteria, it elicits an immune response in humans both to the detriment of efficacy and potentially dangerous to the patient. Zinc Fingers, on the other hand, do not suffer from those disadvantages and are ideally suited for direct administration to patients. However, the difficulty of engineering them to target given specific locations in the genome has severely hampered their developed. We here propose to use the power of modern artificial intelligence methods, combined with large-scale screens to effectively design Zinc Finger proteins as easily as CRISPR, thereby erasing any advantage the latter may have held, while simultaneously enabling novel therapeutic applications that have been hitherto not possible using CRISPR based approaches.
Competitiondate
202303
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Kim, Philip M
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $1,021,276~ $0~