IPA (ImmunoPrecise Antibodies) Pioneers AI-Designed GLP-1 Therapies: A Potential New Chapter in Diabetes Treatment

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IPA Antibody Therapeutics Pipeline (Graphic: Business Wire)
IPA Antibody Therapeutics Pipeline (Graphic: Business Wire)

AUSTIN, Texas, January 22, 2025--(BUSINESS WIRE)--ImmunoPrecise Antibodies Ltd. (IPA) (NASDAQ: IPA) has developed a new class of GLP-1 therapies entirely through artificial intelligence, designed to enhance efficacy, safety, therapy longevity, and patient satisfaction in diabetes treatment. These AI-designed therapeutics aim to improve upon current GLP-1 therapies, which are widely used for managing type 2 diabetes and obesity. Created using the Company's proprietary LENSai™ platform, an AI-driven system that analyzes evolutionary patterns in biological data, these novel AI-generated sequences have been optimized to maximize therapeutic performance while improving the patient experience. Enhancements are aimed at increased patentability, extended stability and resistance to degradation, improved administration routes for greater compliance, reduced dosing requirements, and more efficient manufacturing methods. The Company’s GLP-1-like alternatives are currently being evaluated for potential transdermal delivery as non-invasive alternatives to injections. These novel constructs represent the Company's first fully AI-generated assets, complementing their growing portfolio of AI-assisted and laboratory-developed therapies.

Advancing GLP-1 Therapies

Current GLP-1 drugs for diabetes and obesity management often require frequent injections due to their short half-life. In just two weeks, IPA's LENSai generated, developed and optimized novel genetic sequences for GLP-1-like constructs that may offer potential advantages over existing treatments. IPA is now investigating whether genetic constructs based on these optimized sequences could support more efficient dosing regimens and enhance patient experience. This rapid sequence generation process showcases LENSai's transformative potential in drug discovery, leveraging its unique ability to identify specific patterns embedded in biological material. This approach could revolutionize therapeutic innovation across multiple disease areas, enabling faster and more precise in silico drug development.

From AI Discovery to Preclinical Optimization

IPA’s LENSai™ platform identified key molecular features by analyzing evolutionary patterns across species. Using HYFT® technology, the potential therapeutics were refined to improve binding strength, increase resistance to enzymatic breakdown, and optimize their function. Instead of chemical modifications to increase therapeutic stability, a standard industry method, IPA applied rational genetic engineering to enhance peptide longevity and performance in early-stage studies.