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

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United States of America Patent

PATENT NO 11439159
SERIAL NO

17520201

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
SHIRU INC850 MARINA VILLAGE PKWY ALAMEDA CA 94501

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Dubourg-Felonneau, Geoffroy Berkeley, US 4 11
Hume, Jasmin Orinda, US 6 15
Kunibe, Akemi San Francisco, US 3 5
Lee, Lawrence San Francisco, US 50 753

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