Patent · US Active

Protein secondary structure prediction

US10962473B1 · kind B1 · utility

15Cited by

0References

21Claims

0Family size

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	Nov 5, 2020
Grant date	Mar 30, 2021
Priority date	—
Expiry date	Nov 5, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06Q30/0201
WIPO fieldMeasurement
WIPO sectorInstruments

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.