Bespoke AI-Designed Antibodies
Our mission at Quine Biologics is to revolutionize healthcare and biotechnology through bespoke AI-designed antibodies. We are committed to meeting the growing demand for personalized medicine by harnessing the power of cutting-edge AI technology. Our goal is to provide custom antibody solutions that empower researchers and clinicians with precise tools to tackle complex diseases and drive innovation in immunotherapies. We prioritize integrity, collaboration, and adherence to the highest quality and safety standards. By pushing the boundaries of science and technology, we aim to make a profound impact on patient care and scientific discovery, ultimately creating a healthier future for all.
Design lead antibody candidates in hours, not months for a fraction of the cost of traditional approaches.
Offerings
BespokeAB
BespokeAB is a software package to design de novo antibodies to any protein target. BespokeAB uses multimodal AI models guiding the design of unique functional therapeutic antibodies and custom tailoring antibody properties to your needs.
Quine Biologics offers a range of custom AI-assisted antibody design formats. For more information on how to use BespokeAB, click here.
Technology. How BespokeAB works.
BespokeAB integrates structure-aware AI with a tightly controlled data pipeline to design antibodies from first principles. The process begins with curated antigen inputs and a library of human-derived antibody frameworks selected for developability. Multiple AI models operate in concert to interpret antigen features, explore compatible antibody configurations, and generate diverse candidate designs while enforcing constraints related to biophysical quality and sequence realism. These models iteratively refine designs across sequence and structural representations, producing antibody–antigen complex models optimized for binding and downstream development considerations. Final candidates are prioritized computationally and advanced to experimental validation, creating a closed-loop workflow that efficiently translates target information into high-quality, de novo antibody designs without reliance on existing antibodies or incremental optimization.
