Leveraging evolution to engineer biology
with an iterative loop of computational prediction
and experimental validation.
We publish our work and release open-source tools and resources for the scientific community.
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A free, open-access library of high-quality organism illustrations for science communication
We create vector graphics of model organisms and emerging biological research organisms to enhance our publications. We’re sharing these editable graphics under a CC0 license for other scientists to use in figures, slides, teaching materials, or other outputs.
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How do we balance labor and yield in high-throughput protein expression?
We need to test hundreds of in silico protein variant designs in the lab. We have automated purification strategies, but expressing enough protein to purify is low-throughput and rate-limiting. Can we crank up expression without big, unwieldy culture flasks and intensive effort?
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Efficient GFP variant design with a simple neural network ensemble
We designed novel GFPs using a neural network ensemble. We quickly developed an experimental validation procedure in parallel, confirming that several candidates were functional. This rapid loop of in silico generation and lab validation may accelerate protein engineering.
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