Systematic Computational Drug Repositioning to Treat COVID-19
The genetic revolution which has taken place in recent years brings new opportunities to the field of drug discovery & repositioning. Using advanced comparative genomic, and data integration, our lab has been developing a state-of-the-art AI algorithm which maps drug and food supplements that are useful in treating diseases and improving health conditions. To create this algorithm, we have been integrating and analyzing massive amounts of genomic data from 1,600 genomes, 14 thousand compounds, 20,000 human genes, and a comprehensive database of phenotypic data.
Project ID : 47-2020-10880
Our Innovative Approach
The genetic revolution which has taken place in recent years brings new opportunities to the field of drug discovery & repositioning. Using advanced comparative genomic, and data integration, our lab has been developing a state-of-the-art AI algorithm which maps drug and food supplements that are useful in treating diseases and improving health conditions. To create this algorithm, we have been integrating and analyzing massive amounts of genomic data from 1,600 genomes, 14 thousand compounds, 20,000 human genes, and a comprehensive database of phenotypic data.
Proposal
We now propose harnessing our unique approach to discover drugs that fight against coronavirus. Appling our unique AI algorithm have yielded a preliminary list of possible drugs with the promise of affecting the deadly virus.
Project manager
Mel Larrosa
VP Business Development Healthcare
Project researchers
Yuval Tabach
HUJI, School of Medicine - IMRIC
Developmental Biology and Cancer Research
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