System for identifying and developing individual naturally-occurring proteins as food ingredients by machine learning and database mining combined with empirical testing for a target food function
US11439159B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 5, 2021 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Nov 5, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure provides a technology for developing alternative protein sources for use in industrial food production. The technology mines natural sources by a process that is done partly in silico. Instead of sampling and testing a vast library of compounds, machine learning and implementation narrows the field of functional candidates by predictive modeling based on known protein structure. Candidate proteins that are selected by this analysis are then produced and screened in a high-throughput manner by recombinant expression and testing to determine whether they have a target function. Multiple cycles of the machine learning, database mining, expression and testing are done to yield potential ingredients suitable for assessment as part of a commercial food product.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.