Ernst Schmid

153 posts

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Ernst Schmid

Ernst Schmid

@ernstschmidd

@Harvard BBS and @UCLA alumnus. Full stack developer who sometimes wears a lab coat. Applied machine learning scientist at ManifoldBio.

เข้าร่วม Mart 2020
418 กำลังติดตาม316 ผู้ติดตาม
Ernst Schmid รีทวีตแล้ว
Manifold Bio
Manifold Bio@ManifoldBio·
If you're at #ADPD2026, don't miss Naveen Mehta’s talk on @ManifoldBio’s approach to one of the core challenges in treating neurodegenerative diseases: getting drugs across the blood-brain barrier.
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Aviv Spinner
Aviv Spinner@AvivSpinner·
We made a dataset of three bacterial transcription factors with over 100,000 *functional* measurements. We capture loads of single insertions and deletions AND many functional TFs with 7+ random mutations!! Data can be found through the link below, or you can DM me.
The Align Foundation@Align_Bio

🚀 Public Data Release: GROQ-seq Transcription Factor Dataset We’re excited to announce the public release of The Align Foundation's first GROQ-seq dataset, one of the largest high-resolution transcription factor datasets of its kind.

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Gleb Kuznetsov
Gleb Kuznetsov@glebkuz·
Behold the power of massively parallel multiplexing @ManifoldBio brought to this study
Kieran Didi@DidiKieran

@ManifoldBio @viva_biotech @novonordisk @Cambridge_Uni @DukeU @LMU_Muenchen Massive campaign: ~1M designed candidates screened across 127 diverse/challenging targets with all-to-all binding readouts. We solve more than 2/3 of the targets given a very limited compute budget and often quite challenging hotspots and crops 11/n

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Manifold Bio
Manifold Bio@ManifoldBio·
@ManifoldBio and @NVIDIAHealth announce a joint study validating Proteina-Complexa, NVIDIA's latest BioNeMo model for protein binder design.
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Gleb Kuznetsov
Gleb Kuznetsov@glebkuz·
We're growing the AI team at @ManifoldBio, starting with a role to train protein foundation models on our proprietary data. I believe Manifold is the most interesting place to work on protein design. We're designing and testing millions of binders per month, including in vivo, and accelerating. No one else has data like this. If you have deep experience pretraining or fine-tuning protein models and want to work somewhere the data actually lets you push beyond what public datasets can enable, please reach out.
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Ribosome Studio
Ribosome Studio@RibosomeStudio·
I'm working on this little ribosome game. You have to build a peptide as fast as you can. Prokaryotes can incorporate 20 amino acids per second. Currently, only the tRNAs work; the amino acids are next.
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Gleb Kuznetsov
Gleb Kuznetsov@glebkuz·
Epic to have AWS support as we enter this phase of scaling our AI protein design + (already massively multiplexed) data gen capabilities.
AWS Startups@AWSstartups

🧬@ManifoldBio is on an “ambitious mission” & it’s getting there faster with the #AWS #GenAI Accelerator. 🎞The #startup’s Co-founder & CEO discusses how GAIA will fuel growth. 🚀Join us at AWS re:Invent & discover how to accelerate your company’s mission: go.aws/4oht3x4

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Ernst Schmid@ernstschmidd·
Thanks to members of the @FrogWalterLab and our fantastic collaborators @alanbrownhms and @MaintainGenome, we experimentally verified several of these new PPIs. But don’t worry, there are plenty more waiting to be discovered. Come and explore the data and see what you find!
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Jeremy Wohlwend
Jeremy Wohlwend@jeremyWohlwend·
Boltzgen is out, and once again, it's fully open-source! We experimentally validated the model on a wide array of targets and use cases with impressive results, including 67% success rate on nanobody design! Huge credit to @HannesStaerk for driving this in a way only he can.
Hannes Stark@HannesStaerk

Excited to release BoltzGen which brings SOTA folding performance to binder design! The best part of this project has been collaborating with many leading biologists who tested BoltzGen at an unprecedented scale, showing success on many novel targets and pushing its limits! 🧵..

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Ernst Schmid@ernstschmidd·
This is the moment us-east-2 has been waiting for
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Rhys
Rhys@RhysSullivan·
Clicked “forgot password” and they emailed me my password
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@EstebanezLab
@EstebanezLab@Eva46653369·
DNA mutagenesis driven by transcription factor competition with mismatch repair: Cell cell.com/cell/fulltext/…
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Keyon Vafa
Keyon Vafa@keyonV·
Can an AI model predict perfectly and still have a terrible world model? What would that even mean? Our new ICML paper formalizes these questions One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵
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NASA
NASA@NASA·
We're bringing NASA+ to @Netflix! Starting this summer, Netflix audiences will be able to stream rocket launches, spacewalks, and other major live events on the platform. Read more about how we're working to bring NASA's work to a global audience: go.nasa.gov/40wCJdY
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Ernst Schmid
Ernst Schmid@ernstschmidd·
Our AlphaFold 3 analysis tool is now accepting the new version of the AlphaFold 3 server output files. Thanks to those who let me know and apologies for any inconvenience! predictomes.org/tools/af3/
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