Patents by Inventor Julia Christin Berning

Julia Christin Berning 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
  • PLANT-BASED CHICKEN FLAVORING AGENT COMPOSITION
    Publication number: 20230136465
    Abstract: Techniques to mimic chicken flavor are disclosed. A plant-based chicken flavoring agent includes a Prunus persica (Rosaceae family) component and a Zea mays (Poaceae family) component. The Prunus persica component may include an aqueous extract of peach, and the Zea mays component may include an aqueous extract of sweetcorn. A ratio of the Prunus persica component to the Zea mays component in the flavoring agent is one to an amount within a range of 1.8 and 2.2. The agent may be added to a food product to mask a flavor of the food product, to provide chicken-like flavoring, or both.
    Type: Application
    Filed: September 14, 2022
    Publication date: May 4, 2023
    Inventors: Rodrigo A. Contreras, Romina Montealegre, Rodrigo Muñoz-González, Ana Batista-Gonzalez, Julia Christin Berning, Sofía Yasky, Diva Aranda-Oyarzún, David G. Moya
  • 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