APPLICATIONS: Genomics research BACKGROUND: Metabolomics has been used for obtaining direct measures of metabolic activities from diverse biological systems. However, metabolomics can be limited by ambiguous metabolite identifications. Furthermore, interpretation can be limited by incomplete and inaccurate genome-based predictions of enzyme activities (e.g., gene … [Read more...] about Metabolite, Annotation and Gene Integration System (MAGI) and Software 2017-063, 2017-105
Biotech Software
Peptoid-Based Chelating Molecules 2017-181
APPLICATIONS OF TECHNOLOGY: Radiolabeling Metal separation Water treatment ADVANTAGES: Robust chelators High selectivity ABSTRACT: Researchers led by Rebecca Abergel have developed a new class of chelators – molecules that can bind metals – that incorporate peptoids into the chelator backbone, offering more control over the chelator’s structure and … [Read more...] about Peptoid-Based Chelating Molecules 2017-181
EcoFAB 2.0: Device for Determining Plant-Microbe Interactions 2019-066
APPLICATIONS OF TECHNOLOGY: Agriculture Biosciences research ADVANTAGES: Improved sterile, automated processing of EcoFABs Scalability of EcoFABs due to injection molding fabrication Compatible with typical automated platforms Smaller footprint and lower price than existing automated systems Adaptive system ABSTRACT: Berkeley Lab’s … [Read more...] about EcoFAB 2.0: Device for Determining Plant-Microbe Interactions 2019-066
Specific Reduction of Various Isoprenoid Precursors and Isoprenoids by Geranylgeranyl Reductases 2018-088
APPLICATIONS OF TECHNOLOGY: Bio-derived platform chemicals for use in Pharmaceuticals Cosmetics and fragrances Fuels ADVANTAGES: Lower cost, bio-based pathway to high value chemicals Reduction of intermediates within the terpene biosynthesis pathway Production of higher quantity of farnesyl acetate ABSTRACT: Researchers at Berkeley Lab’s Joint … [Read more...] about Specific Reduction of Various Isoprenoid Precursors and Isoprenoids by Geranylgeranyl Reductases 2018-088
Predicting Metabolic Pathway Dynamics from Time Series Multiomics Data Using Machine Learning Techniques 2017-049
APPLICATIONS OF TECHNOLOGY: Genetic engineering ADVANTAGES: Outperforms kinetic models to predict pathway dynamics in bioengineered systems ABSTRACT: Hector Garcia Martin and Zac Costello of Berkeley Lab’s Joint BioEnergy Institute (JBEI) have determined that the combination of machine learning and abundant multiomics data (proteomics and metabolomics) can be … [Read more...] about Predicting Metabolic Pathway Dynamics from Time Series Multiomics Data Using Machine Learning Techniques 2017-049