Patents by Inventor Adil Yusuf

Adil Yusuf 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).

  • Protein secondary structure prediction
    Patent number: 11644416
    Abstract: An artificial intelligence model receives a FTIR spectrum of a given ingredient to predict its protein secondary structure. The model includes three artificial modules, which generate three predicted values corresponding to structural categories (e.g., ?-helix, ?-sheet, and other) of the predicted secondary structure. Proteins may be compared for similarity based on predicted values corresponding to the structural categories of the predicted secondary structure.
    Type: Grant
    Filed: February 19, 2021
    Date of Patent: May 9, 2023
    Assignee: NotCo Delaware, LLC
    Inventors: Nathan O'Hara, Adil Yusuf, Julia Christin Berning, Francisca Villanueva, Rodrigo Contreras, Isadora Nun, Aadit Patel, Karim Pichara
  • PROTEIN SECONDARY STRUCTURE PREDICTION
    Publication number: 20230099733
    Abstract: An artificial intelligence model receives a FTIR spectrum of a given ingredient to predict its protein secondary structure. The model includes three artificial modules, which generate three predicted values corresponding to structural categories (e.g., ?-helix, ?-sheet, and other) of the predicted secondary structure. Proteins may be compared for similarity based on predicted values corresponding to the structural categories of the predicted secondary structure.
    Type: Application
    Filed: November 28, 2022
    Publication date: March 30, 2023
    Inventors: Nathan O'Hara, Adil Yusuf, Julia Christin Berning, Francisca Villanueva, Rodrigo Contreras, Isadora Nun, Aadit Patel, Karim Pichara
  • PROTEIN SECONDARY STRUCTURE PREDICTION
    Publication number: 20220136966
    Abstract: An artificial intelligence model receives a FTIR spectrum of a given ingredient to predict its protein secondary structure. The model includes three artificial modules, which generate three predicted values corresponding to structural categories (e.g., ?-helix, ?-sheet, and other) of the predicted secondary structure. Proteins may be compared for similarity based on predicted values corresponding to the structural categories of the predicted secondary structure.
    Type: Application
    Filed: February 19, 2021
    Publication date: May 5, 2022
    Inventors: Nathan O'Hara, Adil Yusuf, Julia Christin Berning, Francisca Villanueva, Rodrigo Contreras, Isadora Nun, Aadit Patel, Karim Pichara
  • Protein secondary structure prediction
    Patent number: 10962473
    Abstract: An artificial intelligence model receives a FTIR spectrum of a given ingredient to predict its protein secondary structure. The model includes three artificial modules, which generate three predicted values corresponding to structural categories (e.g., ?-helix, ?-sheet, and other) of the predicted secondary structure. Proteins may be compared for similarity based on predicted values corresponding to the structural categories of the predicted secondary structure.
    Type: Grant
    Filed: November 5, 2020
    Date of Patent: March 30, 2021
    Assignee: NOTCO DELAWARE, LLC
    Inventors: Nathan O'Hara, Adil Yusuf, Julia Christin Berning, Francisca Villanueva, Rodrigo Contreras, Isadora Nun, Aadit Patel, Karim Pichara