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ImmunoPrecise Antibodies: Developing Foundational AI to Accelerate Life Sciences Research & Development

Image Credits: iStock.com/DesignCells
By: Headliners News / March 7, 2024

In a recent groundbreaking announcement, ImmunoPrecise Antibodies, the artificial intelligence-driven biotherapeutic research and technology company, has unveiled its latest achievement – the development of a Foundation AI Model that marks a significant leap forward in life sciences research and development. The Company’s unique model seamlessly integrates Large Language Models (LLMs) with BioStrand’s patented HYFT Technology, leveraging their respective strengths to enhance the accuracy and specificity of predictions and insights in complex biological data analysis and drug discovery.

Uncovering the Intricacies of ImmunoPrecise Antibodies HYFT Technology

At the core of BioStrand’s success with the Foundation AI Model lies its utilization of the patented HYFT technology. This sophisticated framework identifies and harnesses universal fingerprint™ patterns across the biosphere, serving as crucial anchor points that bridge sequence data to structural data, functional information, bibliographic insights, and more. With a comprehensive knowledge graph mapping 25 billion relationships across 660 million data objects, BioStrand’s tech platform provides a holistic understanding of the intricate relationships between genes, proteins, and biological pathways.

The integration of HYFTs with stacked LLMs empowers the BioStrand AI model to decipher the intricate language of proteins, unlocking vital insights for antibody drug development and precision medicine. Originally designed for Natural Language Processing (NLP), LLMs, when applied to “the language of proteins,” offer insights into protein structure prediction, antibody binding optimization, and protein mutagenesis.

To understand this unique protein language, the HYFTs play a crucial role in detecting meaningful words and word boundaries. By harnessing HYFT’s computational capabilities, the identification of functional units or “words” in protein sequences becomes tangible, allowing for precise mapping and analysis.

The Advanced Foundation AI model introduces the innovative approach of “LLM stacking,” intelligently combining different LLMs with HYFTs linked to specific features found in various models. This approach mirrors distinguishing between the meanings of ‘apple’ based on context, allowing for the differentiation between binding and non-binding antibodies, even with similar HYFT patterns.

Pioneering a new frontier in the world of life sciences

The concept of “word boundaries” within protein languages offers up a very groundbreaking approach to understanding protein structure and function. This methodology promises to accelerate drug discovery, protein-based therapeutics, and synthetic biology, revolutionizing protein engineering and design while significantly reducing research and development timelines and costs.

Advancing Drug Discovery and Precision Medicine Applications

The methodology, integrated into LENSai™ Integrated Intelligence Technology™ is revolutionizing biotechnology and pharmaceutical research by providing a robust framework for drug discovery, protein engineering, and the development of protein-based therapeutics. The HYFT technology’s application of “word boundaries” primary aim is to significantly accelerate the research and development processes, while offering a reduction in development timelines and costs.

By providing a deep and comprehensive understanding of the complex relationships between genes, proteins, and biological pathways, the model facilitates the development of targeted therapies and personalized treatment strategies.

Dirk Van Hyfte MD, PhD, Co-Founder, and Head of Innovation of BioStrand, commented, “The development of our Foundation AI Model, powered by our unique ‘LLM stacking’ approach and patented HYFT technology, marks a significant milestone in the field of biotechnological research. This innovation not only expands the boundaries of current biotech research but also establishes a new standard for the application of AI in solving complex biological challenges.”

Dr. Hyfte continued, expressing confidence that BioStrand’s Foundation AI Model will lead the way in AI-driven solutions for biology and drug discovery, positioning the company at the forefront of innovation in the field.

In a commitment to collaboration and innovation within the life sciences community, IPA’s CEO, Dr. Jennifer Bath, will participate in the H.C. Wainwright 1st Annual Artificial Intelligence Based Drug Discovery & Development Virtual Conference on March 7th, 2024. This participation underscores the company’s dedication to leading the conversation on the future of AI-driven solutions in biology and medicine.

About ImmunoPrecise Antibodies Ltd.

ImmunoPrecise Antibodies Ltd. and its subsidiaries, including Talem Therapeutics LLC, BioStrand BV, ImmunoPrecise Antibodies (Canada) Ltd., and ImmunoPrecise Antibodies (Europe) B.V., collectively known as the “IPA Family,” constitute a biotherapeutic research and technology group. Leveraging systems biology, multi-omics modeling, and complex artificial intelligence systems, the IPA Family supports its proprietary technologies in bioplatform-based antibody discovery. Their services encompass highly specialized, full-continuum therapeutic biologics discovery, development, and out-licensing, aiding business partners in their pursuit of novel biologics against challenging targets.

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