European Patent Office to Grant BioKey’s Patent Application for Foundational HYFT® Technology
Immunoprecise Antibodies Ltd. (NASDAQ: IPA) announced a significant milestone with the European Patent Office's decision to grant its patent application for the HYFT® Technology, initially filed on February 7, 2020. This technology provides an efficient method for organizing and analyzing biological sequence information, crucial for advancements in cancer research, precision medicine, and drug discovery. The patent aims to enhance the company’s intellectual property position and is expected to yield favorable outcomes in other countries. The HYFT technology underpins BioStrand’s LENSai platform, promising improvements across various applications, including drug immunogenicity and toxicity prediction.
- Patent granted by European Patent Office for HYFT Technology, enhancing IP portfolio.
- HYFT Technology is crucial for cancer research and precision medicine.
- Broad potential applications, including drug discovery and patient outcome improvement.
- None.
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Company Received Official Notice from the
European Patent Office (EPO) for the Decision to Grant its Patent Application onApril 5 th, 2023. The Patent was Initially FiledFebruary 7 th, 2020. - Patent Application Covers a Method to Efficiently Handle Mass Biological Sequence Information.
- Related Patents Pending in Other Countries, Favorable Outcomes Anticipated
VICTORIA, British Colombia--(BUSINESS WIRE)--
The patent will provide BioStrand’s
“This is a significant and exciting decision by the EPO, and we view this announcement as a recognition of BioStrand’s important contributions to the fields of omic data integration and analysis, fields paramount to the future of cancer research, precision medicine, biomarker identification, and novel drug discovery and development,” stated Dr.
The HYFT Technology
HYFT Technology is a way of organizing information about the natural world by creating connections between patterns found in living things, called HYFTs. These patterns can link genetic sequences to their structures and functions, as well as to other information such as scientific papers and medical records. The output, the HYFT knowledge graph, contains over 660 million patterns and 25 billion connections, and is continuously updated with new information. This provides a powerful tool for exploring relationships in the natural world, which can be used for research and applications in medicine and other fields. The HYFT graph is unique in its explicit representation of information from the whole biosphere, and it provides a transparent intermediate layer between sequences and predictions that allows for new knowledge to be extracted without the limitations of a black box.
HYFT-based technologies have numerous applications in various fields beyond just data integration, organization, and analysis, such as drug immunogenicity testing, drug discovery, and natural language processing (NLP). These applications have the potential to accelerate the drug development process and improve patient outcomes.
In the field of immunogenicity, HYFTs can help predict parts of a molecule that may trigger an immune response. This information is crucial in therapeutic and vaccine development, as it helps identify potential safety concerns before they become problematic. Moreover, HYFTs can predict off-target effects, which occur when a drug or therapy affects unintended targets in the body. Early identification of potential off-target effects allows researchers to design safer and more effective treatments.
In drug discovery, HYFT-based technologies have multiple potential applications, including:
Toxicity Prediction: By linking genetic sequences to toxicological data, HYFTs can predict the toxicity of potential drug candidates, helping researchers identify compounds likely to cause adverse effects before entering clinical trials.
Drug Repurposing: HYFTs can identify existing drugs for repurposing by linking genetic sequences to known targets and functions, accelerating the drug discovery process by finding compounds already approved for other indications.
Clinical Trial Design: HYFTs can optimize clinical trial design by linking genetic sequences to patient data and clinical outcomes, identifying patient subgroups more likely to benefit from specific treatments, and enabling personalized and efficient clinical trials.
Biomarker Discovery: By linking genetic sequences to disease-specific phenotypes, HYFTs can identify biomarkers of disease, helping to identify at-risk patients and enable earlier diagnosis and treatment.
Another application of HYFT-based technologies is tied to NLP, which involves analyzing and extracting information from written or spoken language. HYFTs can link text-based information, such as scientific papers or medical records, to specific genetic sequences or structures, facilitating more efficient and accurate analysis. This is particularly valuable in genomics and personalized medicine, where vast amounts of textual data must be processed and analyzed to identify potential therapies or treatments.
The Company believes that the utilization of HYFT-based technologies in drug discovery and other fields shows great promise for expediting the drug development process and enhancing patient outcomes.
About
Forward Looking Information
This news release contains forward-looking statements within the meaning of applicable
Forward-looking information involves known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements stated herein to be materially different from any future results, performance or achievements expressed or implied by the forward-looking information. Actual results could differ materially from those currently anticipated due to a number of factors and risks, including, without limitation, the risk that the integration of the above-mentioned HYFTs may not have the expected results, as well as those risks discussed in the Company’s Annual Information Form dated
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Investor contact: investors@ipatherapeutics.com
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