Huge congrats to the many authors who over MANY years worked on this (but especially @karaehunt.bsky.social , @trevorbrandt.bsky.social, Karina, @shaharsu.bsky.social and @remenecker.bsky.social. www.nature.com/articles/s41...

Rational design of disordered proteins for sequence–function investigation - Nature

GOOSE enables the design and testing of thousands of disordered protein region sequences to reveal distinct sequence-to-function relationships.

nature.com

Alex Holehouse@alexholehouse.bsky.social · 5mo ago

New (well, very old, but 100% updated) preprint: Rational design of disordered proteins for systematic sequence-to-function investigation Work done in collaboration with @shaharsu.bsky.social lab - check out the three (3) threads from the folks who did the work!

Thrilled to see our Deep-Phase paper now online in @cellcellpress.bsky.social! 🎉 The final version expands Deep-Phase across labeling modalities, adds dual-condensate imaging to dissect pathway specificity, and shows greater robustness to batch effects than classical image-analysis methods.

Deep learning of functional perturbations from condensate morphology

A deep learning method quantitatively decodes nucleolar, nuclear speckle, and viral condensate morphology to reveal underlying biochemical states. Applying this framework reveals a previously unrecogn...

cell.com

Some molecular machines, like ribosomes, can persist for long periods of time in cells. Could molecular aging of ribosomes shape how proteins are made? In our new preprint we track ribosomes as they age in cells and uncover unexpected effects on translation (1/10) www.biorxiv.org/content/10.6...

I'm hiring a summer intern! Pursuing a PhD and interested in industry experience? Apply at the link below by Jan 26 to spend 12 weeks onsite at South San Francisco with Genentech's Discovery Oncology department in May-July 2026 pursuing novel therapies targeting disordered protein regions.

I’m thrilled to share our preprint that uses deep learning to interrogate structure-function relationships in condensates! biorxiv.org/content/10.1... In here, we ask: can AI read condensate biology from pictures alone? Turns out yes... see what we discover below! 🤖🧬🖼️ (1/10)

Deep Learning of Functional Perturbations from Condensate Morphology

Biomolecular condensates compartmentalize the interior of living cells to spatiotemporally organize complex functions, yet linking molecular interactions within condensates to their mesoscale organiza...

biorxiv.org