Introducing: py2Dmol 🧬
(feedback, suggestions, requests are welcome)
Introducing: py2Dmol 🧬
(feedback, suggestions, requests are welcome)
🧬Code and notebooks will be released by the end of this week.
🎧Golden- Kpop Demon Hunters
🧬Code and notebooks will be released by the end of this week.
🎧Golden- Kpop Demon Hunters
www.nature.com/articles/s41...
www.nature.com/articles/s41...
fuerstlab.shinyapps.io/SeqNovelty/
quick 🧵
fuerstlab.shinyapps.io/SeqNovelty/
quick 🧵
- SIMD FW/BW alignment (preprint soon!)
- Sub. Mat. λ calculator by Eric Dawson
- Faster ARM SW by Alexander Nesterovskiy
- MSA-Pairformer’s proximity-based pairing for multimer prediction (www.biorxiv.org/content/10.1...; avail. in ColabFold API)
💾 github.com/soedinglab/M... & 🐍
- SIMD FW/BW alignment (preprint soon!)
- Sub. Mat. λ calculator by Eric Dawson
- Faster ARM SW by Alexander Nesterovskiy
- MSA-Pairformer’s proximity-based pairing for multimer prediction (www.biorxiv.org/content/10.1...; avail. in ColabFold API)
💾 github.com/soedinglab/M... & 🐍
@yoakiyama.bsky.social and Zhidian Zhang on MSA pairformer. (1/4)
@yoakiyama.bsky.social and Zhidian Zhang on MSA pairformer. (1/4)
Zhidian Zhang, @milot.bsky.social, @martinsteinegger.bsky.social, and @sokrypton.org
biorxiv.org/content/10.1...
TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling🧵
Zhidian Zhang, @milot.bsky.social, @martinsteinegger.bsky.social, and @sokrypton.org
biorxiv.org/content/10.1...
TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling🧵
www.nature.com/articles/s41...
www.biorxiv.org/content/10.1...
I'll leave a biorxiv comment for the authors. It's hard to find all prior literature but this one is kinda an oof.
www.nature.com/articles/s41...
www.biorxiv.org/content/10.1...
I'll leave a biorxiv comment for the authors. It's hard to find all prior literature but this one is kinda an oof.
blog.google/outreach-ini...
blog.google/outreach-ini...
www.cell.com/cell/abstrac...
www.cell.com/cell/abstrac...
✨ Now with LogMD-based trajectory visualization.
🔗 Demo: rcsb.ai/ff9c2b1ee8
Feedback & collabs welcome! 🙌
🔗: GitHub: github.com/yehlincho/Bo...
🔗: Colab: colab.research.google.com/github/yehli...
@sokrypton.org @martinpacesa.bsky.social
✨ Now with LogMD-based trajectory visualization.
🔗 Demo: rcsb.ai/ff9c2b1ee8
Feedback & collabs welcome! 🙌
🔗: GitHub: github.com/yehlincho/Bo...
🔗: Colab: colab.research.google.com/github/yehli...
@sokrypton.org @martinpacesa.bsky.social
rdcu.be/em0vA
rdcu.be/em0vA
@sokrypton.org @martinsteinegger.bsky.social
www.biorxiv.org/content/10.1...
@sokrypton.org @martinsteinegger.bsky.social
www.biorxiv.org/content/10.1...