Grant: Project Grant
University of Toronto
$730,576.00
An integrated strategy for the development of next generation peptide therapeutics
FY 2018-19
Summary
Many current therapeutics are peptides including well-known drugs such as insulin. These have a number of issues, mostly related to their poor stability, hence require frequent and large dosing, as well as having poor storage properties. We here present an integrated platform to both discover peptides with new effects as well as to optimize their drug-like properties. Our methods are based on technologies that we previously developed and include state-of-the-art cell culture screening techniques as well as methods derived from artificial intelligence to find optimal novel peptide drugs. A unique aspect of our approach is the tight integration of these advanced methods, which will help us on our mission to develop novel therapeutics.
Department
Program
Project Grant
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
402426
Name
Kim Philip M
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
An integrated strategy for the development of next generation peptide therapeutics
Programtype2
Operating Grants
Orgnameinp2
University of Toronto
Cihramount2
$730,576
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Biologics; Computational Modeling; D-Amino Acid; Gpcr; Hormone; Molecular Dynamics; Peptide Therapeutic
Abstract
Many current therapeutics are peptides including well-known drugs such as insulin. These have a number of issues, mostly related to their poor stability, hence require frequent and large dosing, as well as having poor storage properties. We here present an integrated platform to both discover peptides with new effects as well as to optimize their drug-like properties. Our methods are based on technologies that we previously developed and include state-of-the-art cell culture screening techniques as well as methods derived from artificial intelligence to find optimal novel peptide drugs. A unique aspect of our approach is the tight integration of these advanced methods, which will help us on our mission to develop novel therapeutics.
Competitiondate
201903
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Kim, Philip M; Garton, Michael J
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $730,576~ $0~