Das Lab

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Das Lab

Das Lab

@RDasLab

Our lab seeks an agile and predictive understanding of how RNAs structurally code for information processing and replication in living systems.

Stanford, CA Katılım Nisan 2019
103 Takip Edilen2.7K Takipçiler
Das Lab
Das Lab@RDasLab·
RNA flexible? Maybe we can model that. First blind test of RNA 3D *ensemble* prediction — ligand-free SAMURI ribozyme (displayed on a group II intron scaffold) -- #MD and #deeplearning methods welcome, deadline Aug 22, 2026: predictioncenter.org/casp17/target.…
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Eterna
Eterna@eternagame·
OpenKnot Round 9 features secondary structures designed by players to create compact, pseudoknotted RNA using 240 bases. GenAI teams also will test whether their methods perform as well as the expert players at a longer length. Check out the puzzle at: eternagame.org/labs/14343053
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Das Lab
Das Lab@RDasLab·
Pseudoknots, AI, and preview of Eterna's first RNA replicase results at EternaCon 12, virtual on Sunday July 26, 2026! Preregister for free at: eternagame.org/eternacon/2026
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Das Lab
Das Lab@RDasLab·
Can humans+AI get 1M #cryoEM-able #RNA structures? Phase 1: humans design 1000 pseudoknot structures @eternagame by Jul 19. Phase 2: AIs design 1000 sequences for each by Jul 31. Come join! Latest phase of the OpenKnot challenge eternagame.org/challenges/118…
Eterna@eternagame

Eterna's newest puzzle challenges players to design 240-base RNA strands that will fold into compact pseudoknots. The puzzle provides a metric for counting the number of pairs that cross to form large, synthetic pseudoknots. Check out the puzzle at eternagame.org/labs/14333719

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Das Lab
Das Lab@RDasLab·
Third (& last?) intense week of #RNA server-only targets on #CASP17: small molecule binding ribozymes and aptamers & more group II introns in multiple states. Strange mix of natural and non-natural RNA and compounds and proteins. Looking forward to less crazy pace in next weeks.
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Das Lab
Das Lab@RDasLab·
The 2nd week of #CASP17 is closing, with more group II introns and some other RNAmake synthetic designs — monomer and dimer (!) targets for both. And more #RNA targets are coming in week 3: #557" target="_blank" rel="nofollow noopener">predictioncenter.org/news.cgi#557
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Das Lab
Das Lab@RDasLab·
First natural #RNA in #CASP17 is a group II self-splicing intron, and it’s also the season's 1st multistate target! Will server algorithms detect homologous group II intron structures to help modeling? Can servers model both unspliced and spliced states? predictioncenter.org/casp17/targetl…
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Das Lab
Das Lab@RDasLab·
Two more #CASP17 #RNA targets: OpenKnot @eternagame molecule from AI designer gRNAde @chaitjo & triphosphorylating ribozyme selected by Muller lab @UCSanDiego. All 8 RNA targets are non-natural — how will modeling methods do without MSAs, templates, homologous training examples?
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Das Lab
Das Lab@RDasLab·
First two targets in #CASP17 are #RNA, and they're designs from the online videogame @eternagame. Hope the bots preparing for CASP have been playing Eterna!
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Protenix
Protenix@ai4s_protenix·
🚀 Introducing Protenix-v1, the first open-source model achieving AF3-level performance Highlights: 🔹 Verified inference-time scaling behavior 🔹 RNA MSA & protein template support 🔹 Additional release: Protenix-v1-20250630 trained on a larger dataset 🔹 PXMeter v1.0.0 for transparent evaluation (6k+ complexes, time-split & domain-specific subsets) 🔗 Code: github.com/bytedance/Prot… 🔗 Eval toolkit: github.com/bytedance/PXMe… 🔗 Online server: protenix-server.com
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Das Lab
Das Lab@RDasLab·
It's official: @NVIDIAHealth has returned to co-organize Part 2 of the @StanfordMed Kaggle 3D RNA folding competition. Kagglers incl Part 1 leader @raojohng have already advanced @nvidia RNApro into the best publicly available notebook on the leaderboard: kaggle.com/competitions/s…
NVIDIA Healthcare@NVIDIAHealth

🧩 We’re thrilled to collaborate with @StanfordMed and @HHMIJanelia on the Stanford RNA 3D Folding Part 2 Challenge. Help advance the science of RNA structure prediction and push the boundaries of AI for biology. Kickstart your solution with RNAPro, our new baseline model built on key insights from the first competition. 🤔 Can you solve it nvda.ws/4q0FRsw

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Keşfet

@eternagame @StanfordData @StanfordHAI @lisaeshunwilson @StanfordBiochem @chaitjo @PossuHuangLab @UWproteindesign