Yuyang Zhou

🧬✨Excited to share our online demo " Natural language → De Novo Protein design" Live demo: http://113.45.254.183:8888/ The demo version Pinal is 1.2B.🔬 You try very detailed textual prompt up to 500 words. biorxiv.org/content/10.110…

Used SaprotHub to predict mutations for eTDG, a uracil-N-glycosylase variant. 🧬 Lab results: 17 out of top 20 mutations had higher T-to-G editing efficiency than wild type (marked as red), with 3 showing nearly 2x improvement! 🚀

The found Cas13an (UniProt ID: A0A7C5SD50) was annotated as an uncharacterized protein in the database. We used ProTrek to annotate it and the results were related to CRISPR, showing ProTrek is capable of indentifying unknown proteins.

Recruited 12 bio students, no coding exp, to use ColabSaprot for re-training, zero-shot mutation, & protein design. They matched AI experts w/o hyper-parameter tuning! With SaprotHub, any biologist can train protein models! @sokrypton @LTEnjoy biorxiv.org/content/10.110…

Introducing ProTrek, a 3-modal PLM for protein seq, struc, and func: ✨ Trained on 40M protein-text pairs, 100x larger than ProteinCLIP, ProtST, ProteinCLAP 🚀 30x/60x better accuracy than ProtST, ProteinCLAP ⚡ 100x faster than Foldseek, MMseq2 for similar function searches

Now everyone customize/share protein language models for their custom task/dataset via @GoogleColab 🤓 Paper: biorxiv.org/content/10.110… Colab: colab.research.google.com/drive/1nxYBed3… Credit: @LTEnjoy, Zhikai Li, @ChenchenHa42849, @BonnieSwt, Junjie Shan, @XibinBayesZhou, Dacheng Ma, @duguyuan

Announcing AlphaFold 3: our state-of-the-art AI model for predicting the structure and interactions of all life’s molecules. 🧬 Here’s how we built it with @IsomorphicLabs and what it means for biology. 🧵 dpmd.ai/3URDiNo

Excited to see how PTM-Mamba opens the door for PTM-aware structure prediction and protein design.

Today, we're announcing Claude 3, our next generation of AI models. The three state-of-the-art models—Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku—set new industry benchmarks across reasoning, math, coding, multilingual understanding, and vision.

Despite the mixed feelings about Google's latest Gemma model, we're big fans! @GoogleAI Why? Coz we found it pairs incredibly well with our SelfExtend 🤣🤣🤣 - like, perfectly! With Self-Extend, no fine-tuning needed, we effortlessly expanded Gemma's window from 8k to 90k+! On the 'Needle in the haystack' task, Gemma-2b-it even struggled at 8k, but with SelfExtend, Gemma-2b-it easily tackles it within 90k range! #AI #Gemma #SelfExtend #LLMs 🚀 Paper: arxiv.org/abs/2401.01325 Github: github.com/datamllab/Long…

Is DNA all you need? Introducing Evo, a long context 7B foundation model for biology Evo has SOTA *zero-shot* prediction across DNA, RNA, and protein modalities Evo can generate DNA, RNA+proteins & make CRISPR-Cas systems for first time blog …n-model-tool-arc-institute.vercel.app/news/blog/evo

Our paper on engineering uracil-N-glycosylase using protein language model ESM is now published in Molecular Cell. @XibinBayesZhou Would love to know if replacing ESM with our Saprot (biorxiv.org/content/10.110…) would result in better performance. sciencedirect.com/science/articl…

@AndrewTang518 pat pat

还记得你何时加入 Twitter 吗？我知道！#我的Twitter周年纪念日 巧啊，正在通宵自习室补前几周课的回放😅