CEO @Ligandal 🧬: Tissue-specific targeting with AI + peptides (LigandForge). On a mission to enable precision personalized predictive medicine. Forbes 30U30.

NYC
Joined March 2016
You can design the next Ozempic for free on challenge.ligandai.com and get your designs submitted for wet lab validation via the @adaptyvbio x @AnthropicAI @proteinbase competition.
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We’ve also launched a new classifier that predicts signaling state of GPCRs based on folded structures. Get more than a binder - this competition will measure signaling and activity of the GLP1R.
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Some tenstorrent vs. RTX PRO 6000 bio benchmarks coming soon 👀👀
I wanna see the amazing @Ligandal on Tenstorrent!!
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We are giving away 1 MILLION LigandForge designs as part of the Adaptyv Proteinbase + Anthropic protein design competition. challenge.ligandai.com
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Love this competition, but @AnthropicAI, are y’all aware that your models give [bio] classifier rejections to users trying to run your models for your own competition? The only way we’ve been able to even query through this is with open models and @OpenAI
Announcing Challenge 2 of the Anthropic x Adaptyv Protein Design Competition! Humira, the best-selling drug ever, blocks TNF-α, an inflammation marker protein that’s overexpressed in rheumatoid arthritis and Crohn’s disease. In this challenge, the goal is to make a better binder for TNF-α that also releases selectively at pH 6.0 in the endosome of cells to improve drug half-life. The protein must also bind both human and mouse TNF-α, making it easier to test the same design in preclinical models.
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1.7 billion tokens processed (10.5M output) in 24h on a single RTX PRO 6000. Local intelligence has reached a point of being an actual production flow, not a toy. Opus 4.6 Max level intelligence, with additional intelligence served by Opus 5.5/5 & GPT Astra & local as workhorse.
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I suspect we will see Opus 5 or greater local intelligence serveable on a single card by EOY.
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For context, this is approximately 1.4 - 1.6x the aggregate throughput of 3x Claude Max 20x and 1x GPT Pro subscriptions in terms of monthly tokens processed. And 2.2-2.5x the output tokens. Equivalent API pricing would be $10,000s/mo on top to attain equivalent monthly output.
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LigandForge cooks btw
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As frontier models get nerfed for bio tasks, being able to run locally is increasingly important. Run Qwen 3.8 Flash-Next at up to 400k context and peak single-stream output of 180.5 tok/s on an RTX PRO 6000 Max-Q. This is now my daily workhorse. See below 👇
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Replying to @moelkholy95
Also with a little bit of tinkering, able to hit up to 2x sessions with multiple sub-agents and up to 1.3M shared context pool (up to 540k context per single request) with RAM offload, at 91% cache hit, at a 12-20% slower decode
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Update 3: +13.9% decode speed by boosting memory offset +6000 (16,365MHz memory clock)
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