Ernst Schmid

@ernstschmid.bsky.social

Full stack developer who occasionally wears a lab coat. Currently a machine learning researcher at Manifold Bio.

Thanks very much to the @kempnerinstitute.bsky.social for supporting our work! I’m excited to see what we will learn about cell biology of the synapses by modeling pairs of synaptic proteins that interact in BioPlex. Congratulations also to all the other award recipients!

Kempner Institute at Harvard University@kempnerinstitute.bsky.social · 6d ago

Announcing the newest #KempnerInstitute Accelerator Award recipients! Congratulations to Maha Farhat, Wade Harper (@harperlabhms.bsky.social) & Edward Huttlin (@edhuttlin.bsky.social), Noor Youssef & Debora Marks (@deboramarks.bsky.social), and Samuel Kou. 🎊 Learn more ➡️ bit.ly/4wyuaxx

Five years ago, the #AlphaFold Database, a collaboration with Google DeepMind, made predicted protein structures free for everyone to use. Today, the database contains over 260 million structure predictions and is used by more than 3.5 million researchers in 190 countries around the world.

Another chapter of my thesis is out! We asked whether we could pair proteome-wide AlphaFold screening with Tn-seq to identify biologically relevant protein-protein interactions. We identify ClcR (formerly YerH) as a component of the Rod complex in Gram-positive bacteria. www.pnas.org/doi/10.1073/...

A broadly conserved gram-positive lipoprotein regulates cell elongation | PNAS

The cell wall peptidoglycan (PG) protects virtually all bacteria from osmotic lysis and specifies cell shape. Synthesis of this exoskeleton is carr...

pnas.org

My latest work! We found that the autoproteolytic GAIN domain which mediates force responsive signaling in adhesion GPCRs is not unique to eukaryotes. The microbial counterparts anchor diverse adhesion, enzymatic, and toxin domains to the cell surface, enabling release by likely mechanical stimuli.

bioRxiv Microbiology@biorxiv-microbiol.bsky.social · 3mo ago

Microbial GAIN domains undergo autoproteolysis and enable release of diverse cell surface associated proteins https://www.biorxiv.org/content/10.64898/2026.05.12.724683v1

Protein domains have no single definition, so why stick to one segmentation? 🧩 Instead of forcing structures into rigid classifications, we built AFragmenter. It uses AlphaFold PAE networks for a tuneable approach to domain parsing. You control the granularity. 👇 🔗 doi.org/10.1093/bioi...

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If you use Boltz1/2, BioEmu, Chai1, or other MSA-dependent models, you’re likely using our ColabFold server. Please be considerate! Avoid large submissions across many IPs instead generate the MSA locally. Our server is an old-timer from 2014 and can’t handle that load.

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Unexpectedly, @jurgjn.bsky.social found that running Alphafold3 predictions for protein interactions can yield ipTM scores that are more predictive of true interactions when run in pools of proteins instead of pairwise predictions. Presumably, this reflects some sort of "competition effect".

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Last week I learned that all my NIH awards were terminated due to perceived acts of antisemitism by Harvard. My understanding (which may be incorrect) is that this has been extended to literally every grant to grad students, postdocs and faculty throughout the university.

Super excited to share a new preprint from our lab on design of small-molecule binding proteins using neural networks! The paper has a bit of everything. A new graph neural network, new design algorithms, and experimental validation. www.biorxiv.org/content/10.1... 🧵🧪

Zero-shot design of drug-binding proteins via neural selection-expansion

Computational design of molecular recognition remains challenging despite advances in deep learning. The design of proteins that bind to small molecules has been particularly difficult because it requ...

biorxiv.org