On August 19, 2024 ImmunoPrecise Antibodies Ltd. (the "Company" or "IPA") (NASDAQ: IPA), an AI-driven biotherapeutics company, reported a groundbreaking achievement: the ability to engineer antibodies entirely through computer simulations using LENSai (Press release, ImmunoPrecise Antibodies, AUG 19, 2024, View Source [SID1234645982]). This marks a significant milestone for the biotechnology industry. Additionally, the antibodies produced by IPA are highly specific to a challenging oncology target located within the Tumor Microenvironment (TME).
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This achievement was made possible by the patented LENSai technologies, which began from an exceptionally challenging starting point: the target protein had no previously known structural information. Despite this, the LENSai platform was able to model the protein’s structure and accurately engineer antibodies specifically tailored to bind to it. This is particularly significant because designing effective therapeutics without prior structural knowledge of the target is a major hurdle in drug discovery, often requiring extensive experimentation and resources. LENSai’s ability to overcome this challenge entirely in silico highlights its advanced capabilities in computational biology and its potential to revolutionize the field of antibody engineering.
The potential therapies were engineered to bind exclusively to the oncology target under specific conditions. Importantly, it was demonstrated that these therapies do not bind to similar proteins known to be present on healthy cells and tissues, which is crucial because such binding typically leads to the negative side effects seen in chemotherapy. These findings highlight LENSai’s ability to address one of the toughest challenges in optimizing antibodies for oncology.
"This marks a significant milestone for the biotechnology industry, demonstrating LENSai’s ability to engineer highly specific and validated antibodies for the exceedingly difficult environment around tumors, and doing so entirely on a computer," said Dr. Jennifer Bath, President and CEO of IPA. "This success, elevated by the fact that important details of the protein being targeted were unknown, represents a major feat in the application of LENSai in generating targeted and specific therapies for the potential treatment of cancer. Moreover, our continuous advancements and integrations have significantly enhanced our ability to develop these therapies faster, more efficiently, and at a reduced cost compared to traditional methods."
Historically, biologic drug discovery has been a risky, time-consuming, and expensive endeavor, with failure rates exceeding 90%. Recent data indicates that it now costs approximately $1.3 billion and takes an average of 10 to 15 years to bring a single new drug to market, with costs potentially rising even higher depending on the complexity of the drug and therapeutic area. The market has seen major successes like Humira, which has shown potential in the tumor microenvironment and has generated over $20 billion in annual sales. Similarly, Keytruda has demonstrated effectiveness in modulating the tumor microenvironment and has generated over $14 billion annually. However, the time, cost, and risk associated with developing such biologics have historically limited the number of these therapies that can be pursued, creating a bottleneck in the availability of life-saving treatments.
"The successful application of LENSai, along with laboratory validation of these novel antibodies, underscores LENSai’s potential to accelerate the development of precision-targeted treatments, aimed at more effective cancer therapies with fewer side effects," stated Dr. Dirk Van Hyfte, MD, PhD, Co-Founder and Head of Innovation at BioStrand, an IPA subsidiary. "What LENSai has accomplished today is just one of the reasons we firmly believe in its ability to bring potentially life-changing biologics to patients with the power of our AI."