Patents by Inventor John Alex Taylor

John Alex Taylor 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).

  • GENERATION OF PROTEIN SEQUENCES USING MACHINE LEARNING TECHNIQUES
    Publication number: 20230178186
    Abstract: Amino acid sequences of antibodies can be generated using a generative adversarial network that includes a first generating component that generates amino acid sequences of antibody light chains and a second generating component that generates amino acid sequences of antibody heavy chains. Amino acid sequences of antibodies call be produced by combining the respective amino acid sequences produced by the first generating component and the second generating component. The training of the first generating component and the second generating component can proceed at different rates. Additionally, the antibody amino acids produced by combining amino acid sequences front the first generating component and the second generating component may be evaluated according to complentarity-determining regions of the antibody amino acid sequences.
    Type: Application
    Filed: January 13, 2023
    Publication date: June 8, 2023
    Inventors: Tileli Amimeur, Randal Robert Ketchem, Jeremy Martin Shaver, Rutilio H. Clark, John Alex Taylor
  • Generation of protein sequences using machine learning techniques
    Patent number: 11587645
    Abstract: Amino acid sequences of antibodies can be generated using a generative adversarial network that includes a first generating component that generates amino acid sequences of antibody light chains and a second generating component generates amino acid sequences of antibody heavy chains. Amino acid sequences of antibodies can be produced by combining the respective amino acid sequences produced by the first generating component and the second generating component. The training of the first generating component and the second generating component can proceed at different rates. Additionally, the antibody amino acids produced by combining amino acid sequences from the first generating component and the second generating component may be evaluated according to complentarity-determining regions of the antibody amino acid sequences.
    Type: Grant
    Filed: May 19, 2020
    Date of Patent: February 21, 2023
    Assignee: Just-Evotec Biologics, Inc.
    Inventors: Tileli Amimeur, Randal Robert Ketchem, Jeremy Martin Shaver, Rutilio H. Clark, John Alex Taylor
  • GENERATION OF PROTEIN SEQUENCES USING MACHINE LEARNING TECHNIQUES
    Publication number: 20220230710
    Abstract: Amino acid sequences of antibodies can be generated using a generative adversarial network that includes a first generating component that generates amino acid sequences of antibody light chains and a second generating component generates amino acid sequences of antibody heavy chains. Amino acid sequences of antibodies can be produced by combining the respective amino acid sequences produced by the first generating component and the second generating component. The training of the first generating component and the second generating component can proceed at different rates. Additionally, the antibody amino acids produced by combining amino acid sequences from the first generating component and the second generating component may be evaluated according to complentarity-determining regions of the antibody amino acid sequences.
    Type: Application
    Filed: May 19, 2020
    Publication date: July 21, 2022
    Inventors: Tileli Amimeur, Randal Robert Ketchem, Jeremy Martin Shaver, Rutilio H. Clark, John Alex Taylor