公开(公告)号：US20220013197A1

公开(公告)日：2022-01-13

申请号：US17295418

申请日：2019-11-20

Applicant: Agency for Science, Technology and Research

Inventor： Ian Walsh ,  Katherine Louisa Wongtrakulkish ,  Terry Nguyen-Khuong ,  Pauline Mary Rudd

IPC: G16C20/70 ,  G16C20/20 ,  G06N20/20 ,  G06N3/08

Abstract: A method for identifying an unknown biological sample (e.g. a glycan, an antibody, a metabolite) is disclosed. The method comprises: receiving more than two sample measurements for the unknown biological sample, calculating a sample point in a two-dimensional plot from the more than two sample measurements for the unknown biological sample and identifying the unknown biological sample by comparing the sample point against the plurality of reference points in the two-dimensional plot. The two-dimensional plot includes a plurality of stored reference points corresponding to respective known biological compounds. Each reference point is calculated from a plurality of reference measurements for more than two attributes of the corresponding known biological compound (e.g. by performing principal component analysis on the plurality of reference measurements), with each attribute being different from another attribute. Each reference measurement may be obtained experimentally (e.g. by liquid chromatography, mass spectrometry, tandem mass spectrometry, ion mobility spectrometry) or by a machine learning algorithm.

公开(公告)号：US11378558B2

公开(公告)日：2022-07-05

申请号：US16772828

申请日：2019-02-21

Applicant: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH

Inventor： Sern Farh Matthew Choo ,  Terry Nguyen-Khuong ,  Pauline Mary Rudd

IPC: G01N30/72 ,  G01N30/86 ,  G01N30/88

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.

公开(公告)号：US20210164947A1

公开(公告)日：2021-06-03

申请号：US16772828

申请日：2019-02-21

Applicant: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH

Inventor： Sern Farh Matthew Choo ,  Terry Nguyen-Khuong ,  Pauline Mary Rudd

IPC: G01N30/72 ,  G01N30/86 ,  G01N30/88

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.

公开(公告)号：US20220251619A1

公开(公告)日：2022-08-11

申请号：US17598965

申请日：2020-03-23

Applicant: Agency For Science, Technology And Research ,  The University of Manchester

Inventor： Sern Farh Matthew Choo ,  Terry Nguyen-Khuong ,  Edward George Pallister ,  Say Kong Ng ,  Sabine Lahja Flitsch

IPC: C12P21/00 ,  C07K1/107

Abstract: The invention relates to a method of increasing the number of α2,3,-α2,6-disialylgalactose N-glycans on a glycoprotein by incubating an α2,3-sialylated glycoprotein with an α2,6-sialyltransferase and a sialic acid source. Also provided is a recombinant glycoprotein comprising at least one α2,3,-α2,6-disialylgalactose N-glycan. In a particular embodiment, the recombinant glycoprotein is alpha-1 antitrypsin (AAT).