Patents by Inventor Vid STOJEVIC

Vid STOJEVIC 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).

  • Tensor network machine learning system
    Patent number: 11995557
    Abstract: The invention is machine learning based method of, or system configured for, identifying candidate, small, drug-like molecules, in which a tensor network representation of molecular quantum states of a dataset of small, drug-like molecules is provided as an input to a machine learning system, such as a neural network system. The machine learning method or system may is itself configured as a tensor network. A training dataset may be used to train the machine learning system, and the training dataset is a tensor network representation of the molecular quantum states of small drug-like molecules.
    Type: Grant
    Filed: May 30, 2018
    Date of Patent: May 28, 2024
    Assignee: KUANO LTD.
    Inventors: Vid Stojevic, Noor Shaker, Matthias Bal
  • COMPUTER IMPLEMENTED METHOD AND SYSTEM FOR SMALL MOLECULE DRUG DISCOVERY
    Publication number: 20230420069
    Abstract: In a small molecule drug discovery method, a transition state for a specific enzyme is modelled using quantum mechanics and molecular dynamics based simulation of the enzyme and substrate reaction; data defining the transition state (a ‘quantum pharmacophore’) is fed to a machine learning engine configured to generate transition state analogues, such as enzyme inhibitors.
    Type: Application
    Filed: September 11, 2023
    Publication date: December 28, 2023
    Inventors: Vid STOJEVIC, David WRIGHT, Jarvist Moore FROST
  • COMPUTER IMPLEMENTED METHOD AND SYSTEM FOR SMALL MOLECULE DRUG DISCOVERY
    Publication number: 20230317202
    Abstract: In a small molecule drug discovery method, a transition state for a specific enzyme is modelled using quantum mechanics and molecular dynamics based simulation of the enzyme and substrate reaction; data defining the transition state (a ‘quantum pharmacophore’) is fed to a machine learning engine configured to generate transition state analogues, such as enzyme inhibitors.
    Type: Application
    Filed: August 26, 2021
    Publication date: October 5, 2023
    Inventors: Vid STOJEVIC, David WRIGHT, Jarvist Moore FROST
  • A QUANTUM CIRCUIT BASED SYSTEM CONFIGURED TO MODEL PHYSICAL OR CHEMICAL SYSTEMS
    Publication number: 20210398621
    Abstract: There is provided a quantum circuit based system configured to model infinite-size systems, in which one or more quantum circuits are configured as an infinite tensor network representation of quantum states of effectively infinite physical or chemical systems.
    Type: Application
    Filed: November 7, 2019
    Publication date: December 23, 2021
    Inventors: Vid STOJEVIC, Matthias BAL, Andrew GREEN
  • TENSOR NETWORK MACHINE LEARNING SYSTEM
    Publication number: 20210081804
    Abstract: The invention is machine learning based method of, or system configured for, identifying candidate, small, drug-like molecules, in which a tensor network representation of molecular quantum states of a dataset of small, drug-like molecules is provided as an input to a machine learning system, such as a neural network system. The machine learning method or system may is itself configured as a tensor network. A training dataset may be used to train the machine learning system, and the training dataset is a tensor network representation of the molecular quantum states of small drug-like molecules.
    Type: Application
    Filed: May 30, 2018
    Publication date: March 18, 2021
    Inventors: Vid STOJEVIC, Noor SHAKER, Matthias BAL