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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.

LiteFold

2,816 subscribers

61,568 views • 7 months ago •via X (Twitter)

Health & Wellness Education Science & Technology

Anya Rossi• Live Now

Private livecam show

28 Comments

LiteFold7 months ago

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

LiteFold7 months ago

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.

LiteFold7 months ago

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.

LiteFold7 months ago

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.

LiteFold7 months ago

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.

Phan Nhật Huy7 months ago

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

K-Dense7 months ago

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

Matrix AI Network7 months ago

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.

Derya Unutmaz, MD7 months ago

Ohh this is great, love to try it out!

alexei rayas7 months ago

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

NewAIWorld7 months ago

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

Devon Cayer7 months ago

Really nice work

DNAternal7 months ago

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?

Harshit solanki7 months ago

🔥🔥

ikan laut7 months ago

this is so amazing

@drswap--- ě/acc7 months ago

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.

P.L.7 months ago

🚨 FOR SALE 🚨 $9,888 #Domains #DomainNames #AI #ArtificialIntelligence #AiAssistant #AiAgent #Health #Healthcare #Biology #Biotech #Pharmaceuticals #Research #Startups

Deb Mukherjee7 months ago

Love this!

J-Space7 months ago

wow this is great!

Jibraan7 months ago

clean 🔥

Barrak7 months ago

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

Harshit solanki7 months ago

bullish on this!!

BioX7 months ago

@anupamme

King bo4 months ago

This started 2024 and still no website

XII_real7 months ago

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

paleem reyez7 months ago

should have called it gosling 👹

King bo4 months ago

Is this a scam

Twlvone7 months ago

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.

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