Antiverse: Designing Antibodies For Challenging Targets

5个月前更新 16 0 0

Solving unmet needs in antibody discovery using machine learning. We exist to bring new therapies to patients and save lives.

所在地：

日本

收录时间：

2024-12-13

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AIGC # AI # AI Drug Discovery # Antibody Design # GPCRs # Ion Channels # Machine Learning # Structural Biology

Antiverse: Designing Antibodies For Challenging Targets

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Antiverse is a biotechnology company specializing in the design of antibodies for challenging drug targets using a generative AI platform. Founded in 2017, Antiverse leverages state-of-the-art machine learning and structural biology to accelerate the discovery of antibodies for difficult targets, such as G-protein-coupled receptors (GPCRs) and ion channels. The company’s platform uses next-generation sequencing and phage display techniques to model antibody-antigen interactions, significantly reducing the time and cost associated with traditional antibody discovery.

Key features include:

AI-Driven Antibody Design: Antiverse’s platform uses machine learning to design antibodies with high specificity and binding affinity.
Target-Specific Libraries: The platform generates libraries tailored to specific targets, enhancing the chances of finding effective antibodies.
Rapid Discovery: The process is accelerated from years to just months, making it more efficient than traditional methods.
Applications in Complex Diseases: Antiverse’s solutions are particularly effective for targets that have historically been difficult to drug, such as GPCRs, which are implicated in cancer, cardiovascular diseases, and other complex conditions.

Antiverse is ideal for biotech and pharmaceutical companies seeking to develop novel antibody-based therapies for challenging targets.

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