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Posts by Calin Plesa

Fluorescent Proteins and Biological Sensors VIII Organizers Eric Schreiter, HHMI/Janelia Research Campus Alison Tebo, HHMI/Janelia Research Campus Invited Participants Xiaolu Cambronne, University of Texas at Austin Katharine Diehl, University of

We’re excited to announce the next Fluorescent Proteins & Biological Sensors conference! Abstract submissions are now open—hope to see you there.
www.janelia.org/you-janelia/...

2 months ago 19 14 0 0

Just released! Fluorescent Protein Libraries from the Plesa Lab. Benchmarking protein expression, developing imaging tools, fluorescent protein engineering, and more.
www.addgene.org/pooled-libra...

1 month ago 14 6 0 0
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To enable reuse by the research community we're making the two parental FPBase libraries available on @addgene.bsky.social as pooled plasmid libraries (Addgene #245482 #245483). Use them. Shuffle them. Train on them! addgene.org/Calin_Plesa/ 12/n

1 month ago 3 3 0 1

So if you want ML to explore distant optima, don’t just improve the model. Engineer the training distribution. Create diversity experimentally. Validate it functionally. Then let the model interpolate across it. 11/n

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ML-generated functional proteins show more mosaic structure than even the shuffled library. The model learns to recombine sequence segments across parental families in new ways (remixing at scale) 10/n

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Diversity metrics (clustering, k-mers, nearest-neighbor identity, mosaic structure, embedding geometry) show:
1) DNA shuffling expands dispersion 2) FACS constrains but preserves breadth 3) ML redistributes occupancy across new regions 9/n

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We synthesized and screened them with hundreds of ML-generated proteins showing reproducible blue fluorescence. Some extend far beyond known natural clusters, including variants with <30% identity to any
@fpbase.org protein. 8/n

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We FACS sorted for blue fluorescence creating a high confidence 7,812 seq BFP training set. We fine tuned ProtGPT2 on this and generated 11,000 de novo sequences which were pruned for max diversity to set of 1,500 for synthesis. 7/n

1 month ago 0 0 1 0
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Even after heavy recombination, the β-barrel scaffold proved surprisingly robust. The shuffled library retained substantial fluorescence while increasing diversity 3x relative to parents. We expanded the manifold without collapsing function. 6/n

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We next generated large numbers of new chimeric variants, that bridge distant homologs by DNA shuffling across the entire parental set. This synthetic recombination expanded sequence dispersion. 5/n

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Using β-barrel fluorescent proteins (FPs) as a model, we synthesized a large fraction of the known β-barrel FPs from
@fpbase.org (620 seqs), in two codon versions using DropSynth resulting in two large parental libraries spanning natural diversity. 4/n

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We hypothesized that by experimentally expanding sequence diversity, we could convert extrapolation into interpolation by expanding the known manifold. 3/n

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PLMs do best when interpolating within known sequence space. But many protein families are sparsely sampled. Also global fitness optima may reside in distant regions of sequence space far from well studied seqs. So many design problems are extrapolative. 2/n

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New lab preprint: if ML struggles with extrapolation, let's expand the diversity of training data with gene synth, DNA shuffling, and ML gen.... also lots of #FluorescentProteins #ProteinEngineering #MachineLearning #SyntheticBiology 1/n

1 month ago 11 5 1 0
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iGEM 2025 Help University of Oregon raise $6,000 for the project: iGEM 2025. Your gift will make a difference!

This year's UO iGEM team is building a histamine-responsive probiotic to help tame mast cell flares in MCAD. Help us get more students to the iGEM Jamboree in Paris this October (gifts via UO Foundation may be tax-deductible): duckfunder.uoregon.edu/project/46947

7 months ago 3 0 0 0
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The BioE dept in the Knight Campus is a great place to work and is unique in many ways! We are expanding over the next few years with our second building opening in 2026. Come join us, applications begin review on October 15. ...4/n

7 months ago 1 0 0 1

Computational & Data-Science Neuroengineering: neural signal processing and analytics, closed-loop behavior tracking, neuromorphic computing and brain-inspired AI, spatial multi-omics analysis ...3/n

7 months ago 2 1 1 0
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Experimental & Translational Neuroengineering: neural interfaces, neurophotonics for brain stimulation/recording/imaging, pre-clinical bioelectric medicine or brain injury repair models, brain organoid technology, disease models ...2/n

7 months ago 1 0 1 0
Post image Knight Campus buildings

Knight Campus buildings

Our BioE dept at @uoknightcampus.bsky.social has an open rank search for two complementary tenure-track faculty positions in Neuroengineering focused on: 1) Experimental & Translational Neuroengineering and 2) Computational & Data-Science Neuroengineering.
careers.uoregon.edu/en-us/job/53... ...1/n

7 months ago 3 3 1 0
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WORK!

I currently have 5 (!) open positions for postdocs/PhD students in our CDlab for projects:

- Nanopore protein sequencing
- Archaeal CDV cell division
- Microfluidics for synthetic cells
- Nuclear Pore Complex
- Origami mimics of peroxisomes

Please apply! ceesdekkerlab.nl/come-join-us/

RT=👍

8 months ago 23 30 2 5
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Exploring antibiotic resistance in diverse homologs of the dihydrofolate reductase protein family through broad mutational scanning DropSynth technology enables scalable and cost-effective exploration of antibiotic resistance across the DHFR protein family.

Our new Science Advances paper is out! 🎉 The Plesa Lab's first, it builds on DropSynth technology as a proof of concept for large-scale synthetic gene libraries, showcasing a synthetic metagenomics approach to studying antibiotic resistance at scale. 👉 www.science.org/doi/10.1126/...

8 months ago 12 6 0 1
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CAGT was fun! Thanks @carldeboer.bsky.social @sudpinglay.bsky.social and the de Boer lab for organizing! Folks from Seattle, Oregon, and other places. Great community. Arman gave a usual super talk, and Sanchit and Dayag won poster prizes☺️

10 months ago 8 3 0 0
Dr. Natanya Villegas PhD defense

Dr. Natanya Villegas PhD defense

Amazing PhD defense by Dr. Natanya Villegas! She pioneered CRISPR-Cas9 and RNA work in our lab and drove multiple tech-dev projects. She is looking for opportunities in the PNW so reach out -> @trienetoscience.bsky.social

10 months ago 9 0 0 1

Huge congrats to Dr. Andrew Holston on a successful PhD defense!! Andrew has been working on the large-scale characterization and engineering of chimeric receptor histidine kinases. He’s looking for roles in biotech/academia, let’s connect if you’re hiring! -> @hkalltheway.bsky.social

10 months ago 14 2 0 1
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Join us today, May 27, for @trienetoscience.bsky.social's PhD thesis defense. Natanya is a graduate student in @calin.bsky.social's lab, where her research has focused on innovations in programmable nucleic acid libraries and CRISPR enrichment for molecular biology applications. 🧬

10 months ago 6 3 0 0
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Join us tomorrow, May 23, for Andrew Holston’s PhD thesis defense. Andrew is a graduate student in @calin.bsky.social’s lab, where his research has focused on the large-scale engineering of chimeric histidine kinases. 🧪

10 months ago 1 1 0 1

Have we hit a "scaling wall" for protein language models? 🤔 Our latest ProteinGym v1.3 release suggests that for zero-shot fitness prediction, simply making pLMs bigger isn't better beyond 1-4B parameters. The winning strategy? Combining MSAs & structure in multimodal models!

11 months ago 25 7 1 2
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Preprint from the lab🚨
Have you ever engineered proteins to be more stable and were unhappy about your predictor's success rate? We got you covered with BoostMut!
Great work led by @kerlenkorbeld.bsky.social now online at www.biorxiv.org/content/10.1...
A thread 🧵

11 months ago 41 8 1 0

Added!

1 year ago 0 0 0 0
Save 90% on DNA variant libraries today
Save 90% on DNA variant libraries today YouTube video by IndieBio

We unlock breakthrough insights by delivering the best training sets in biology—at unprecedented scale. youtu.be/KuCaJTPHM2o

1 year ago 3 5 0 0