$ImmunoPrecise Antibodies (IPA.US)$ NEWS Epitope Binning Pow...
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Epitope Binning Powered By LENSai TM Technology Can Analyze Over 5,000 Sequences With No Physical Materials Needed, Matches Classical Wet Lab Binning Results
VICTORIA, BC / ACCESSWIRE / April 22, 2024 /ImmunoPrecise Antibodies Ltd. (NASDAQ:IPA), an AI-driven biotherapeutic research and technology company, has recently announced an expansion of its already successful LENSai TMPlatform. LENSai, which is run by the company's subsidiary, BioStrand, provides a unique and comprehensive view of life sciences data by linking sequence, structure, function and literature information from the entire biosphere. The platform is now integrating epitope binning into its formulas.
Epitope binning is a method used to compare and categorize a collection of monoclonal antibodies that are designed to target a specific protein. In this process, each antibody is tested against all the others to see if they interfere with each other's ability to bind to the target protein. By doing this, scientists can determine which antibodies have similar or related binding sites on the target protein. Antibodies with similar binding sites are grouped together, or "binned," based on their interactions with each other.
The main goal of epitope binning is to group antibodies that have similar target binding properties, which helps researchers understand the characteristics and behavior of different antibodies and their potential in targeting specific proteins for various applications, such as drug development or disease diagnosis.
To achieve accurate epitope binning, LENSai's algorithm incorporates multiple components. It analyzes the sequential and structural profiles of the antibodies, which means it examines the specific sequence and 3D structure of the antibodies to understand their binding capabilities. It also takes into account docking information, which considers factors like steric hindrance and glycosylation sites that may affect the antibody-antigen interaction. LENSai's algorithm then looks at the atomic interactions between the antibody-antigen complexes to gain a better understanding of their binding specificity.
Epitope binning is a method used to compare and categorize a collection of monoclonal antibodies that are designed to target a specific protein. In this process, each antibody is tested against all the others to see if they interfere with each other's ability to bind to the target protein. By doing this, scientists can determine which antibodies have similar or related binding sites on the target protein. Antibodies with similar binding sites are grouped together, or "binned," based on their interactions with each other.
The main goal of epitope binning is to group antibodies that have similar target binding properties, which helps researchers understand the characteristics and behavior of different antibodies and their potential in targeting specific proteins for various applications, such as drug development or disease diagnosis.
To achieve accurate epitope binning, LENSai's algorithm incorporates multiple components. It analyzes the sequential and structural profiles of the antibodies, which means it examines the specific sequence and 3D structure of the antibodies to understand their binding capabilities. It also takes into account docking information, which considers factors like steric hindrance and glycosylation sites that may affect the antibody-antigen interaction. LENSai's algorithm then looks at the atomic interactions between the antibody-antigen complexes to gain a better understanding of their binding specificity.
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