Patents by Inventor Yara Seif

Yara Seif has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Generative Modeling Leveraging Deep Learning for Antibody Affinity Tuning
    Publication number: 20230352118
    Abstract: A computer-implemented method is disclosed for candidate antibody exploration. The method includes receiving sequence reads from a sequencing system, wherein each sequence read comprises a target gene for expressing a candidate antibody, wherein each sequence read is associated with a binding affinity to a target antigen. The method includes generating a sequence representation for each sequence read, representing the amino acid sequences of the sequence read. The method includes training a binding affinity prediction model with the sequence representations and the binding affinities. The method includes generating a synthetic candidate sequence read that is different from the sequence reads. The method includes generating a sequence representation for the synthetic candidate sequence read.
    Type: Application
    Filed: May 2, 2023
    Publication date: November 2, 2023
    Inventors: Yara Seif, Xiao Xiao, Kevin Teng, Ming-Tang Chen, Alan C. Cheng, BoRam Lee, Isha Verma