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keaslinglab.bsky.social
@keaslinglab.bsky.social
Account for the lab of UC Berkeley Professor Jay Keasling at the Joint BioEnergy Institute. Posts by lab members 🏳️‍🌈🏳️‍⚧️
Each year, the Keasling Lab gathers in Lake Tahoe to reflect on our progress, share goals, and think collectively about where our science can have the greatest societal impact. Proud of what we accomplished together—thank you to everyone who makes this work possible!
January 16, 2026 at 9:11 PM
Our latest manuscript, led by @peterwinegar.bsky.social et al., highlights key advances in microbial terpenoid biosynthesis and how emerging technologies will drive the next generation of designed, new-to-nature molecules. Read it now: www.sciencedirect.com/science/arti...
December 2, 2025 at 8:29 PM
Excited to share the work of our PhD candidate, Leah Keiser. Leah engineered polyketide synthases (PKSs) to control stereochemistry. By systematically exchanging domains, her work provides insights into the biosynthesis of complex molecules with tunable stereocenters 👩‍🔬🧪 pubs.acs.org/doi/full/10....
November 12, 2025 at 7:04 PM
Reposted
If you want to do single or multi-mutant protein optimization with a (very) small amount of data and a laptop, check out our recent work FolDE (github.com/JBEI/foldy)!

Open platform with a super nice, intuitive UI! Led by @jacoberts.bsky.social at @keaslinglab.bsky.social.
November 1, 2025 at 9:29 PM
We're excited to share FolDE, a low-N protein optimization method. In simulation, we found that FolDE is 55% more likely to identify top-1% hits than current baseline methods. FolDE is open and can be set up on a personal computer with a single command.
arxiv.org/abs/2510.24053
October 30, 2025 at 8:05 PM