Patents by Inventor Sern Farh Matthew Choo

Sern Farh Matthew Choo 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).

  • Method of Sialylating a Protein
    Publication number: 20220251619
    Abstract: The invention relates to a method of increasing the number of ?2,3,-?2,6-disialylgalactose N-glycans on a glycoprotein by incubating an ?2,3-sialylated glycoprotein with an ?2,6-sialyltransferase and a sialic acid source. Also provided is a recombinant glycoprotein comprising at least one ?2,3,-?2,6-disialylgalactose N-glycan. In a particular embodiment, the recombinant glycoprotein is alpha-1 antitrypsin (AAT).
    Type: Application
    Filed: March 23, 2020
    Publication date: August 11, 2022
    Inventors: Sern Farh Matthew Choo, Terry Nguyen-Khuong, Edward George Pallister, Say Kong Ng, Sabine Lahja Flitsch
  • Methods, apparatus, and computer-readable media for glycopeptide identification
    Patent number: 11378558
    Abstract: A method identifies glycopeptides in a sample. The method includes converting a mass spectrum of MS1 precursors of the sample into a plurality of nodes in a graph, each node corresponding to one mass and one retention time of a glycopeptide to be identified in the sample; calculating differences in the mass and/or retention time between all combinations of pairs of the nodes; generating a graph theoretic network of the nodes; and predicting compositions of the glycopeptides in the sample based on the graph theoretic network of the nodes so as to identify the glycopeptides.
    Type: Grant
    Filed: February 21, 2019
    Date of Patent: July 5, 2022
    Assignee: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH
    Inventors: Sern Farh Matthew Choo, Terry Nguyen-Khuong, Pauline Mary Rudd
  • Methods, Apparatus, and Computer-Readable Media for Glycopeptide Identification
    Publication number: 20210164947
    Abstract: A method identifies glycopeptides in a sample. The method includes converting a mass spectrum of MS1 precursors of the sample into a plurality of nodes in a graph, each node corresponding to one mass and one retention time of a glycopeptide to be identified in the sample; calculating differences in the mass and/or retention time between all combinations of pairs of the nodes; generating a graph theoretic network of the nodes; and predicting compositions of the glycopeptides in the sample based on the graph theoretic network of the nodes so as to identify the glycopeptides.
    Type: Application
    Filed: February 21, 2019
    Publication date: June 3, 2021
    Inventors: Sern Farh Matthew Choo, Terry Nguyen-Khuong, Pauline Mary Rudd