Patents by Inventor Derin Keskin

Derin Keskin 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).

  • Publication number: 20230248814
    Abstract: The subject matter disclosed herein is generally directed to epitopes that specifically bind to subject specific HLA class I molecules in MCC. The epitope identified is specific for MCC and is encoded for in the Merkel Cell Polyomavirus (MCPyV) large T antigen (MCPyV LT).
    Type: Application
    Filed: June 1, 2021
    Publication date: August 10, 2023
    Inventors: Catherine Wu, Steven Carr, Susan Klaeger, Derin Keskin
  • Publication number: 20220062394
    Abstract: Disclosed herein are polypeptides and compositions comprising one or more neoantigens, methods of identifying neoantigens, and methods for preparing a neoantigen for an immunogenic pharmaceutical composition. The neoantigen can be specific to a subject that has a cancer, disease, or other disorder.
    Type: Application
    Filed: December 12, 2019
    Publication date: March 3, 2022
    Inventors: Tamara Ouspenskaia, Travis Law, Aviv Regev, Steven Carr, Karl Clauser, Susan Klaeger, Nir Haochen, Catherine J. Wu, Derin Keskin
  • Publication number: 20210382068
    Abstract: Adaptive immune responses rely on the ability of cytotoxic T cells to identify and eliminate cells displaying disease-specific antigens on human leukocyte antigen (HLA) class I molecules. Investigations into antigen processing and display have immense implications in human health, disease and therapy. To extend understanding of the rules governing antigen processing and presentation, immunopurified peptides from B cells, each expressing a single HLA class I allele, were profiled. A resource dataset containing thousands of peptides bound to distinct class I HLA-A, -B, and -C alleles was generated by implementing a novel allele-specific database search strategy. Applicants discovered new binding motifs, established the role of gene expression in peptide presentation and improved prediction of HLA-peptide binding by using these data to train machine-learning models. These streamlined experimental and analytic workflows enable direct identification and analysis of endogenously processed and presented antigens.
    Type: Application
    Filed: October 2, 2019
    Publication date: December 9, 2021
    Inventors: Derin Keskin, Siranush Sarkizova, Susan Klaeger, Karl Clauser, Steven Carr, Nir Hacohen, Catherine J. Wu