The ABPDU’s Scale-Up Facilities Expo took place on Aug. 7, 2023, bringing together scale-up facilities and startup researchers. The all-day event saw 249 attendees from 29 countries attend 32 facility presentations, giving them the opportunity to learn about a variety of scale-up capabilities beyond those available at the ABPDU.
Biosciences Researchers Launching Biopreparedness Projects
Two scientists in the Area, Greg Hura and Vivek Mutalik, are heading up research projects that are part of the Department of Energy’s Biopreparedness Research Virtual Environment (BRaVE) initiative. Yasuo Yoshikuni, a scientist at the Joint Genome Institute, is part of a third project that is being led by Brookhaven National Laboratory. These projects will leverage bioimaging expertise to develop better therapies and vaccines for viruses, develop a high-throughput platform to rapidly design countermeasures to drug-resistant pathogens, and unlock the molecular basis of plant-pathogen interactions to create resilient bioenergy crops.
Agile BioFoundry Selects New Projects to Decarbonize Industries and Accelerate Innovation
The Agile BioFoundry (ABF), supported by the U.S. Department of Energy (DOE) Bioenergy Technologies Office (BETO), announced the selection of five external collaborations totaling over $3 million to conduct research and development needed to accelerate the U.S. biomanufacturing sector.
The awardees will collaborate with scientists from the ABF consortium, leveraging DOE national laboratory capabilities to address challenges in biomanufacturing.
A JGI Collaboration to Improve Plant Genome Annotations
To provide broad plant genomic capabilities, the DOE Joint Genome Institute works in partnership with the HudsonAlpha Institute for Biotechnology, which specializes in genome improvement for plants. As part of that partnership, the JGI and HudsonAlpha researchers led a team that recently published work on the JGI Plant Gene Atlas in Nucleic Acids Research. Learn more on the JGI website.
BCSB Confirms Design of Stimulus-responsive, Two-state Proteins
Researchers have leveraged machine learning to create proteins that toggle between two different shapes in response to biological triggers, overcoming a limiting challenge in computational protein design and broadening the potential functionality of designed proteins. Study co-author Banumathi Sankaran, a research scientist in the Molecular Biophysics and Bioimaging Division, used the Advanced Light Source (ALS) beamlines in the Berkeley Center for Structural Biology (BCSB) to validate results with X-ray crystallography data.
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