4D Molecular Therapeutics Collaborates with Leading Machine Learning Technology Experts
The partnership with Drs. Listgarten and Schaffer empower 4DMT to expand its bioinformatics capabilities, enabling it to find promising vectors both within and beyond existing libraries.
FREMONT, CA: 4D Molecular Therapeutics, a clinical-stage gene therapy firm harnessing the power of directed evolution for targeted gene therapies, collaborates with investigators at the University of California, Berkeley focused on widening the vector invention power of 4DMTs Therapeutic Vector Evolution platform by applying machine learning to the AAV vector capsid datasets created from 4DMTs platform. This research will be performed with Jennifer Listgarten, Ph.D., a leader in machine learning and computational biology, and David Schaffer, Ph.D., a global leader in AAV-directed evolution and gene therapy.
This cross-functional partnership with world leaders in machine learning and AAV gene therapy technologies offers the potential to dramatically expand the depth and breadth of targeted and evolved vectors invented through the Therapeutic Vector Evolution platform, expanding the company’s vector patent and product portfolios. 4DMTs industry-leading AAV capsid libraries encompass over one billion synthetic capsid sequences.
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