Agile BioFoundry and Lygos to generate a multi-omics dataset to improve biobased malonic acid production
Type of post: NEWS IN BRIEF.
Lygos, Inc. has announced that it is working with the US Department of Energy Bioenergy Technologies Office’s Agile BioFoundry (ABF) to generate the largest multi-omics dataset for guiding the development of organic acids.
Press release: “Lygos and the Agile BioFoundry Generate Largest Multi-Omics Dataset to Accelerate Machine Learning Capabilities for Engineering Strains for Producing Organic Acids”, 15/03/2021.
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Figure 1. Agile BioFoundry and Lygos to generate a multi-omics dataset to improve biobased malonic acid production
Over the course of the project, scientists will produce more than 500,000 data points from a series of experiments. ABF is now using its artificial neural networks to train machine learning algorithms and provide actionable recommendations to help optimize strain performance, increase operational efficiencies and enhance malonic acid production.
Together, Lygos and ABF aim to demonstrate a high-throughput engineering cycle that incorporates multi-omics analysis and machine learning. The project leverages Lygos’ expertise in designing, building and cultivating its organic acid yeast strains, as well as its malonic acid biosynthetic pathway. The multi-omics analysis is performed at Lawrence Berkeley National Laboratory, Pacific Northwest National Laboratory, and Sandia National Laboratories. The teams plan on making the workflow and dataset available to the public later this year.
