公开(公告)号：US11644416B2

公开(公告)日：2023-05-09

申请号：US17180599

申请日：2021-02-19

申请人： NOTCO DELAWARE, LLC

发明人： Nathan O'Hara ,  Adil Yusuf ,  Julia Christin Berning ,  Francisca Villanueva ,  Rodrigo Contreras ,  Isadora Nun ,  Aadit Patel ,  Karim Pichara

IPC分类号： G01N21/35 ,  G06N5/04 ,  G06N20/00 ,  G06Q30/0201

CPC分类号： G01N21/35 ,  G06N5/04 ,  G06N20/00 ,  G01N2021/3595 ,  G06Q30/0201

摘要： 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., α-helix, β-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.

公开(公告)号：US20230099733A1

公开(公告)日：2023-03-30

申请号：US17994822

申请日：2022-11-28

申请人： NotCo Delaware, LLC

发明人： Nathan O'Hara ,  Adil Yusuf ,  Julia Christin Berning ,  Francisca Villanueva ,  Rodrigo Contreras ,  Isadora Nun ,  Aadit Patel ,  Karim Pichara

IPC分类号： G01N21/35 ,  G06N5/04 ,  G06N20/00

摘要： 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., α-helix, β-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.

公开(公告)号：US10962473B1

公开(公告)日：2021-03-30

申请号：US17090014

申请日：2020-11-05

申请人： NotCo Delaware, LLC

发明人： Nathan O'Hara ,  Adil Yusuf ,  Julia Christin Berning ,  Francisca Villanueva ,  Rodrigo Contreras ,  Isadora Nun ,  Aadit Patel ,  Karim Pichara

IPC分类号： G01N21/35 ,  G06N5/04 ,  G06N20/00 ,  G06Q30/02

摘要： 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., α-helix, β-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.

公开(公告)号：US20220136966A1

公开(公告)日：2022-05-05

申请号：US17180599

申请日：2021-02-19

申请人： NOTCO DELAWARE, LLC

发明人： Nathan O'Hara ,  Adil Yusuf ,  Julia Christin Berning ,  Francisca Villanueva ,  Rodrigo Contreras ,  Isadora Nun ,  Aadit Patel ,  Karim Pichara

IPC分类号： G01N21/35 ,  G06N20/00 ,  G06N5/04

摘要： 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., α-helix, β-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.