CX-101249 Accelerating engineered microbe optimization through machine learning and multiomics datasets

Award Number: DE-EE0008489CX(s) Applied: A9, B3.6Bioenergy Technologies OfficeLocation(s): CAOffice(s): Golden Field Office

Office of NEPA Policy and Compliance

November 14, 2018
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Award Number: DE-EE0008489
CX(s) Applied: A9, B3.6
Bioenergy Technologies Office
Location(s): CA
Office(s): Golden Field Office

The U.S. Department of Energy (DOE) is proposing to provide federal funding to Lygos, Inc. to design, develop, and test an aerobic, low pH yeast process for production of malonic acid. Strains of P. kudriavzevii would be optimized to improve malonic acid production through multiple fermentation cycles, in which experimental data would be used to inform machine learning algorithms designed to select for optimal strain characteristics. The project would be completed over three Budget Periods (BPs), with a Go/No-Go Decision Point in between each BP.