Postdocs: Sander Lab, Systems Biology, Harvard Medical School. Data Science / AI / CompBio. Solve challenging biological problems. (1) Catch cancer early using AI #CancerRiskNet#ovariancancer https://t.co/8ymjGpEyxA - Apply to sander.research (gmail) Subj: postdoc application
Meet evedesign: a new open-source ML framework that makes protein design accessible and interoperable.
📢 See our post: https://t.co/lK3Szb3ff8
Protein design models are powerful, but combining them shouldn’t require custom glue code.
✅Combine models for multi-objective optimization
✅Integrate lab-in-the-loop experimental of data
✅100% secure: run on your own infra, no data sharing
Get started building therapeutics & industrial enzymes today 👇
📄Paper: https://t.co/eTOTY6kfZ0
💻Code: https://t.co/Hn3zatn5nc
🌐Webserver: https://t.co/cAM8NVMbL4
Reach out to collaborate: [email protected]
Announcing our new protein design server https://t.co/nHeMlJVba2:
• End-to-end protein design for everyone!
• Analyze your generated library interactively and on 3D structures
• Export codon-optimized DNA sequences for experimental testing.
Developed in collaboration between @deboramarks, @thomas_a_hopf, @SteineggerM, Simon d'Oelsnitz, Chris Sander, Artem Gazizov,@haysunny_hi, Milot Mirdita, Sergio Garcia Busto, Jake Reardon
"Simultaneous enhancement of multiple functional properties using evolution-informed protein design"
Novel b-lactamases designed w/ EVCouplings; "functional designs had large increases in thermostability and most had a broadening of available substrates"
https://t.co/d7xgJUECDa
Things get better in science over time with good starting ideas and subsequent hard work. 2016 Evolutionary Couplings for RNA folding. 2025 Comprehensive RNA benchmark and tool comparison for everyone in the biomolecular AI field. Great team work with MarksLab!
RNA, RNA, RNA
https://t.co/ewmhRgrGGa
Been a long time goal of @deboramarks.bsky.social to help RNA sequence —> function mapping a million years ago we tried
https://t.co/HiX8fojhNx
Now total refresh for our new world, led by Rohit Arora and Murphy Angelo for seeing this thru and Pascal Notin for pulling together!!!
@the_tessallator For the analysis and design of perturbation biology experiments - use it and add to it! Toward computational models of *all* of cell biology.
The February issue, with a focus on protein engineering, is live https://t.co/5zL1A8zf3S
Our cover shows the three data types key to machine learning for functional protein design: structure, sequence and labels, from a Review by Notin et al. https://t.co/ZgfK6N0LD7
Previous viral evolution can shed light on future immune evasion. EVEscape, now out in @Nature, is our first step in applying pre-pandemic data to forecast antibody escape through the course of a pandemic. https://t.co/9jE1oaAX6T 🧵1/6
Looks like I was able to re-purpose ChatGPT's new function return support to enrich answers about human genes using the most up-to-date @genenames data.
This still has too much boilerplate stuff in it but here is the full notebook for the curious: https://t.co/dQFXaafqvh
(1/6) Very excited to share our work on @NatureMedicine using #AI to predict #cancer with disease history only (no CT scan!). Glad to co-lead the work with @davplacido @jessicaxhu Chunlei Zheng @sandercbio@TheBrunakLab and many more great colleagues https://t.co/vEY2eOUN4A .
Ready to learn about protein design? Our beginner's guide breaks down this complex field into easy-to-understand concepts. Discover the potential of proteins to transform our world: https://t.co/OGrrvh0BnR
Go cBioPortal ! Lots of new features for easy analytic access to cancer genomics, proteomics and more. Make your own discoveries on community-provided cancer data and analysis tools.
Come learn about cBioPortal at #AACR2023: Talks on Saturday by @NikolausSchultz at 8:30 AM in Room W224 (#NCIITCR session) as well as by Tali Mazor in Room W311 at 8:45 AM (@AACR Project GENIE session), a poster on Tuesday morning, and a booth in the exhibitor space (#1943).
Wish one could weigh in with NNF to reverse this decision. Very hard to understand. Our collaborations with CPR labs Mann and Brunak have been singularly successful. Great science & scientists.
Tremendously sad day for Danish science as Novo Nordisk Foundation is closing its flagship protein research institute, arguably the best in the world. @UCPH_CPR has been a beacon of science and progress for years. Let's cherish the remaining years & strive to continue the legacy.
Very pleased to announce that our paper “Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval” was accepted at ICML!
Paper: https://t.co/tgpUs90sLz
Repo: https://t.co/XHCNwcPL26
(1/10)
https://t.co/qCCSe23b6O is recruiting an Associate Lab Director! An outstanding opportunity for an ambitious computational biologist to manage projects at the cutting edge of machine learning and genomics. Send CV to [email protected]