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Announcing Rosalind, the most versatile AI Co-Scientist for computational biology and therapeutics research. Giving every biologist their own frontier research lab. Make every experiment count. It's live. Links in the comments.
61,568 görüntüleme • 7 ay önce •via X (Twitter)
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Rosalind can search across 200M+ data sources (like Clinical trials, FDA, PDB, UniProt, CHEMBL, ZINC, OpenTargets, etc.). However, it doesn't stop there. It can create very in-depth scientific hypotheses by analyzing data, conducting experiments, and iterating on them

It can also design proteins (binders coming soon), generate de novo molecules, dock them, predict structures, and much more. However, scientists always have control over the process, and it only proceeds upon their approval.

Rosalind can also write code. From writing pymol scripts all the way to coding its own geometric deep learning model for property prediction (when given GPU access). It can do it all.

Not only discovery, but it can also heavily assist with post-discovery stages. For example, it can write standard lab protocols (of up to 150 pages) and dossier documents, process development documents, and more.

Rosalind is live. Go try it out now. In case you need more credits, reach out to us or check the billing section. It's free.

Hi, nice works on UI, but did you really vibe code the whole your sandbox infrastructure? I literally can see other user data???

Nice work! Feel free to integrate our open source Claude Scientific Skills to give it super powers!

While Rosalind provides the Computational Brain to navigate the molecular maze 10x faster, a brain without a sovereign data source is just a black box. This is where Matrix AI Network ($MAN) and Rosalind should form the ultimate value-driven alliance.

Ohh this is great, love to try it out!

Great experience! Used prompt: "explain molecular mechanisms of Duchenne muscular dystrophy", the result was super detailed: covered genetic basis, pathophysiology, dystrophin amino acid sequence, meds and references

I cannot wait for an AI to explain to me why my entire PhD was actually just a rounding error

Really nice work

Going real big on the name. Only one shot at getting this right. Not sure if i see the practical use case for my lab… can you show me the way?

🔥🔥

this is so amazing

We are experiment for big pharma company. What ever innovation we, will never land into real drugs due to political interventions. Mots of the innovation are forced to do patent free or quit. So no way we are not using any software.

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Love this!

wow this is great!

clean 🔥

Rosalind sounds revolutionary! AI-powered tools for computational biology can accelerate research dramatically. This could transform how we approach therapeutics development.

bullish on this!!

@anupamme

This started 2024 and still no website

Hey @clanker_world, deploy a token on base named RosalindBio Ticker: ROSA

should have called it gosling 👹

Is this a scam

this is the future. AI co-scientists designing experiments, robotic labs executing them, all running 24/7. put a datacenter next to a wet lab and let it loop: hypothesize, test, learn, repeat. drug discovery timelines go from decades to months.

