Grant: Alliance Grants
Ryerson University
$50,000.00
COVID-19: Development of novel human coronavirus infection assays to accelerate AI-driven drug repurposing for COVID-19_x000d_
EF 2020-21
Résumé
SARS-CoV-2 infection leads to COVID-19, a disease that has rapidly become a global pandemic, with >5M individuals infected and >325,000 deaths from the disease worldwide (as of May 20th, 2020). The significant health, economic and social cost and burden of this disease urgently requires new therapies that can limit the spread of infection in affected individuals, limit the spread of infection between individuals and to treat patients that exhibit severe disease symptoms.
With the development of vaccines expected only in 12-18 months, there is an urgent need for the development of antivirals to limit the spread of infection and the severity of the disease in infected individuals. Drug repurposing is an approach that holds great promise for rapid development of new COVID-19 antiviral treatments. Cyclica Inc is a company that specializes in artificial intelligence (AI)-driven technologies to study drug-protein interactions. Cyclica has developed a pipeline that allows identification of drugs that are predicted to have potential to be repurposed to treat COVID-19. To be able to do so, it is essential to complement the existing AI-driven analysis of drug-protein interactions with novel assays for detection of cell infection by SARS-CoV-2 and other coronaviruses.
Our research aims to accomplish two things: (1) develop a new suite of assays based on fluorescent reporter proteins that allow detection of virus infection by high content imaging and automated image analysis, allowing scaling of virus infection assays and (2) benchmark these assays with drugs predicted by the AI-driven analysis to impair coronavirus infection, in order to establish these assays as the gold standard coronavirus infection assays. While this research aims to study fundamental cell biology allowing for assay development, it will have key applications to the further rapid development of COVID-19 treatments.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
554329-2020
Name nom
Antonescu, Costin
Department département
Chemistry and Biology
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1201
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Life sciences (including biotechnology)
Area of application fr
Sciences de la vie (y compris biotechnologie)
Research subject code
5100
Research subject group en
Cell biology
Research subject group fr
Biologie cellulaire
Research subject en
Cell biology
Research subject fr
Biologie cellulaire
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
COVID-19: Development of novel human coronavirus infection assays to accelerate AI-driven drug repurposing for COVID-19_x000d_
Keyword
NSERC
Application summary
SARS-CoV-2 infection leads to COVID-19, a disease that has rapidly become a global pandemic, with >5M individuals infected and >325,000 deaths from the disease worldwide (as of May 20th, 2020). The significant health, economic and social cost and burden of this disease urgently requires new therapies that can limit the spread of infection in affected individuals, limit the spread of infection between individuals and to treat patients that exhibit severe disease symptoms.
With the development of vaccines expected only in 12-18 months, there is an urgent need for the development of antivirals to limit the spread of infection and the severity of the disease in infected individuals. Drug repurposing is an approach that holds great promise for rapid development of new COVID-19 antiviral treatments. Cyclica Inc is a company that specializes in artificial intelligence (AI)-driven technologies to study drug-protein interactions. Cyclica has developed a pipeline that allows identification of drugs that are predicted to have potential to be repurposed to treat COVID-19. To be able to do so, it is essential to complement the existing AI-driven analysis of drug-protein interactions with novel assays for detection of cell infection by SARS-CoV-2 and other coronaviruses.
Our research aims to accomplish two things: (1) develop a new suite of assays based on fluorescent reporter proteins that allow detection of virus infection by high content imaging and automated image analysis, allowing scaling of virus infection assays and (2) benchmark these assays with drugs predicted by the AI-driven analysis to impair coronavirus infection, in order to establish these assays as the gold standard coronavirus infection assays. While this research aims to study fundamental cell biology allowing for assay development, it will have key applications to the further rapid development of COVID-19 treatments.