New preprint! We carried out the largest complementation and inhibition study for diverse homologs in a single protein family (DHFR) to date. Highlights thread follows... 1/n 🧵

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): https://t.co/8WY1w6IrIu #iGEM #synbio

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

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

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

Our BioE dept at @UOKnightCampus 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. https://t.co/oM5BifpWSl ...1/n

WORK! My lab currently have 5 (!) open positions for postdocs/PhD students for: -Nanopore protein sequencing -Archaeal CDV cell division -Microfluidics for synthetic cells -Nuclear Pore Complex -Origami mimics of peroxisomes Please apply! https://t.co/t4Yk0aZLHF RT=👍

Biological foundation models have hit a plateau. Scaling isn't working as expected. Foundational concepts from evolutionary biology could have predicted this: 🧵 https://t.co/Il1tsnovsD [1/9]

Experimental data >>> unsupervised seqs alone.

CASP is getting cut by NIH... 😢 (Anyone with extra funds wanna help support perhaps the most important competition of the century?) https://t.co/mOuROZYJLh

Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀

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

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! -> @AlkynesOfSci

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!

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

Small proteins can be more complex than they look! We know proteins fluctuate between different conformations- but how much? How does it vary protein to protein? Can highly stable domains have low stability segments? @ajrferrari experimentally tested >5,000 domains to find out!

It’s been a tough few weeks. My 10yo daughter was diagnosed with a very rare, aggressive cancer called interdigitating dendritic cell sarcoma (IDCS). I’m reaching out to identify clinicians/patients who have encountered pediatric IDCS, indeterminate dendritic cell histiocytosis

@cvresnick @KarlRomanowicz @kimreynolds_lab @KortemmeLab We’d love to hear your comments and feedback! Disclosure: I’m a co-founder and equity holder in @SynPlexityDNA, which is commercializing DropSynth to empower other researchers to perform similar studies at scale. 13/n

@cvresnick @KarlRomanowicz @kimreynolds_lab @KortemmeLab Computational: There is a huge amount of data here and we have only started scratching the surface in its analysis. We’ve already started playing around with ML models for prediction and generation. 12/n

@cvresnick @KarlRomanowicz @kimreynolds_lab @KortemmeLab Experimental: this study was only an initial pilot. We’re assembling a library 10x as large and with continuing improvements in NGS, the amount of functional data that can be collected will be incredible. 11/n

@cvresnick @KarlRomanowicz @kimreynolds_lab @KortemmeLab There is a lot more discussed in the preprint, but I’ll wrap up with some thoughts about the future. 10/n https://t.co/Pd63njIYik