Vevo Therapeutics (@vevo_ai) 's Twitter Profile
Vevo Therapeutics

@vevo_ai

Building the foundation model for single-cell biology.

ID: 1592228682222796800

linkhttps://www.vevo.ai/ calendar_today14-11-2022 18:51:21

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1,1K Followers

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Nima Alidoust (@nalidoust) 's Twitter Profile Photo

Today we’re launching The Tahoe Blog from Tahoe Therapeutics (Formerly Vevo). In the same open-source spirit that led us to release Tahoe-100M—our gigascale, perturbative single-cell dataset—we’re now sharing many of the discoveries it has enabled. 🧬✨ Link to the Blog and the inaugural post in 🧵

Today we’re launching The Tahoe Blog from <a href="/tahoe_ai/">Tahoe Therapeutics (Formerly Vevo)</a>.

In the same open-source spirit that led us to release Tahoe-100M—our gigascale, perturbative single-cell dataset—we’re now sharing many of the discoveries it has enabled. 🧬✨ 

Link to the Blog and the inaugural post in 🧵
Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

Check out today's post where we show that an HIV antiviral🧬, Saquinavir, developed by Roche actually activates the b-adrenergic pathway more like Norepinephrine! Would you want to take something given after acute cardiac arrest daily to treat HIV? Big data -> discoveries 👇

Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

1/ 🧵 THREAD: Here’s how we solved a 30-year mystery about an HIV drug. 💊 A drug used for over two decades ⚠️ Pulled from the market for cardiac risk 🤯 And no one knew why — until now We found the missing mechanism using our single-cell mosaic dataset, Tahoe-100M. Let’s talk

Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

2/ This all started with Tahoe-100M—a massive single-cell dataset profiling ~400 drugs across human cell states. We asked: Can transcriptional signatures reveal off-target effects and mechanisms of action no one else can see? Absolutely.

Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

3/ 🧪 Saquinavir, some quick facts: -Developed by Roche -HIV protease inhibitor -FDA-approved in 1995 -Used in patients for decades -Later pulled due to ⚠️ QT prolongation + arrhythmias (cardiac toxicity) FDA flagged the safety risk, and Roche pulled the drug from market. But

Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

4/ We compared Saquinavir’s transcriptional profile against every other drug in our dataset. Surprisingly - what ranked the highest was: ✅ Norepinephrine ✅ Vilanterol = Classic adrenoceptor agonists Despite zero chemical resemblance!

4/
We compared Saquinavir’s transcriptional profile against every other drug in our dataset.

Surprisingly - what ranked the highest was:
✅ Norepinephrine
✅ Vilanterol
= Classic adrenoceptor agonists

Despite zero chemical resemblance!
Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

5/ Adrenoceptor agonists ramp up: 📈 cAMP 📈 pCREB 🫀 Blood pressure So we ran a pCREB western blot after Saquinavir treatment to validate if the biology was similar. Saquinavir lit up exactly like Norepinephrine.

5/
Adrenoceptor agonists ramp up:

📈 cAMP
📈 pCREB
🫀 Blood pressure

So we ran a pCREB western blot after Saquinavir treatment to validate if the biology was similar.

Saquinavir lit up exactly like Norepinephrine.
Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

6/ Why does this matter? Norepinephrine is used to raise blood pressure. Saquinavir wasn’t designed to affect the heart at all. But it mimics adrenergic activation. This is likely the real reason for its long-known cardiotoxicity that took clinicians two decades of trial and

Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

7/ Even the FDA flagged cardiac risk: ⚠️ QT prolongation ⚠️ Arrhythmia But cited no mechanistic basis. Our discovery connects the dots — not via ion channels, but via transcriptional mimicry of adrenoceptor agonism. 📜

7/
Even the FDA flagged cardiac risk:
⚠️ QT prolongation
⚠️ Arrhythmia
But cited no mechanistic basis.

Our discovery connects the dots — not via ion channels, but via transcriptional mimicry of adrenoceptor agonism.

📜
Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

8/ Here’s the kicker: 🧠 Saquinavir, Vilanterol, and Norepinephrine have very different structures... …but converge on the same biological effect. It's only through this type of new data modality in Tahoe100M where we could see this biological similarity!

8/
Here’s the kicker:

🧠 Saquinavir, Vilanterol, and Norepinephrine have very different structures...

…but converge on the same biological effect.

It's only through this type of new data modality in Tahoe100M where we could see this biological similarity!
Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

9/ We didn’t design this experiment to investigate Saquinavir. We just included it in our 400-drug map. And thanks to the resolution of Tahoe-100M, the transcriptional MoA was instantly obvious. This is the new playbook for safety + repurposing.

Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

10/ Imagine what else is hiding in the pipeline today. Drugs headed for market with mechanisms we think we know... Until single-cell data shows otherwise. 🧬 Tahoe-100M lets you: – Infer MoA fast – Detect off-targets – Repurpose smarter – De-risk development

Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

11/ Read the full story on our blog 👇 🔗 blog.tahoebio.ai/p/saquinavir-u… And if you’re building or studying drugs with unknown effects — or want to use Tahoe-100M — get in touch: 📬 [email protected] 📥 DMs open Follow us Tahoe Therapeutics (Formerly Vevo) for more. #drugdiscovery #singlecell #pharma

Johnny Yu (@iamjohnnyyu) 's Twitter Profile Photo

On a personal level, it's special to see a dataset go from an idea -> an experiment -> a community like this. What a smart and curious group of people at the leading edge of the Virtual Cell! This will definitely be a moment in time.