Protein secondary structure prediction

US11644416B2 · kind B2 · utility

Assignee

• Notco Delaware, LLC · CL

Inventors

• Nathan O'Hara · Westwood, US
• Adil Yusuf · Santiago, CL
• Julia Christin Berning · Santiago, CL
• Francisca Villanueva · Santiago, CL
• Rodrigo A. Contreras · Santiago, CL
• Isadora Nun · San Francisco, US
• Aadit Patel · Burlingame, US
• Karim Pichara · Santiago, CL

Key dates

• Filing date: Feb 19, 2021
• Grant date: May 9, 2023
• Expiry date: Sep 2, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0201
• WIPO field: Measurement
• WIPO sector: Instruments

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., 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.