HTP genomic engineering platform

US10968445B2 · kind B2 · utility

Assignee

• Zymergen Inc. · US

Inventors

• Zach Serber · Sausalito, US
• Erik Jedediah Dean · Lafayette, US
• Shawn Manchester · Oakland, US
• Katherine Gora · Berkeley, US
• Michael Flashman · Eureka, US
• Erin Shellman · Seattle, US
• Aaron Kimball · San Francisco, US
• Shawn Szyjka · Martinez, US
• Barbara Frewen · Alameda, US
• Thomas Treynor · Berkeley, US
• Kenneth S. Bruno · Walnut Creek, US

Key dates

• Filing date: Oct 15, 2020
• Grant date: Apr 6, 2021
• Expiry date: Oct 15, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G01N2035/1058
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

The present disclosure provides machine learning techniques for computationally predicting the phenotypic performance of combinations of genetic variations and for designing new improved host cells. The machine learning models and methods described herein are host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any host cell parameter of interest.