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Keasling Lab 🏳️‍🌈

@keaslinglab.bsky.social
76 followers 79 following 9 posts

Account for the lab of UC Berkeley Professor Jay Keasling at the Joint BioEnergy Institute. Posts by lab members 🏳️‍🌈🏳️‍⚧️

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Keasling Lab 🏳️‍🌈 @keaslinglab.bsky.social · 25/08/2026
The Keasling Lab is now on Bluesky! 🧬🌏🏳️‍🌈 We engineer the chemistry inside microbial cells to produce life-saving therapies, clean-burning fuels, and new materials. Follow along for cool science, lab news, and to celebrate the people behind our work. Repost to help us find our community! 🔁
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Reposted by Keasling Lab 🏳️‍🌈
Tae Seok Moon @taeseokmoon.bsky.social · 31/07/2026
Important work by Jay Keasling et al. in Nature Biotechnology, Nature Portfolio @natbiotech.nature.com @keaslinglab.bsky.social www.nature.com/articles/s41...
nature.com
Engineered polyketide synthases enable a microbial chassis for recyclable plastics with tunable properties - Nature Biotechnology
Polyketide synthases are engineered for the production of sustainable plastics.
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Keasling Lab 🏳️‍🌈 @keaslinglab.bsky.social · 02/12/2025
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...
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Keasling Lab 🏳️‍🌈 @keaslinglab.bsky.social · 12/11/2025
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....
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Reposted by Keasling Lab 🏳️‍🌈
cathy ji @crji.bsky.social · 01/11/2025
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.
github.com
GitHub - JBEI/foldy: Foldy: a web-based platform for interactive protein structure analysis
Foldy: a web-based platform for interactive protein structure analysis - JBEI/foldy
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Keasling Lab 🏳️‍🌈 @keaslinglab.bsky.social · 30/10/2025
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
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