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Bio Protocol
@BioProtocol
Biotech's new financial layer.
298 Following    113.6K Followers
Enter the scientific singularity 🧬 Scientists building biotechs through networks of labs with AI helping coordinate the work.
Surprise 1: Anthropic acquired a one-person biotech . . . Surprise 2: that person is me Surprise 3: I’m here to tell you all about it Yes, this is what you think it is; after 6 yrs of increasingly loose anonymity: the Professor Oak reveal post …and yes, it has gotten so boring around here that I’m literally doxxing myself to spice up the timeline ------- Ok, allow me to introduce myself. My name is Cody Tranbarger. I mostly tweet, but occasionally find time to dabble in drug dev & starting/building biotechs. My past lives span the VC, crossover, startup continuum; Prof Oak has been my way of keeping a digital foot in those worlds, despite having my physical feet planted elsewhere. The past 18 mo, ‘elsewhere’ was Mithril Medicine, a co. I founded to develop bsAbs for LAMA2-CMD & other ECM-related genetic diseases. Mithril was born out of hands-on building with @MikeNGladstone, @JasonPaulRhodes, @LifeSciVC, & team @atlasventure. Somehow, I made enough half-decent calls along the way (even a broken clock is right twice a day, eh?) to convince them Mithril/I warranted a small seed. While I can hardly rationalize such an outrageously cavalier bet, I’m grateful for it, & I'd partner with Atlas again in a heartbeat. In typical AV fashion, Mithril’s primordial form was virtual, decentralized, & ultra-lean. This stage tends to be short-lived, but for Mithril, it worked surprisingly well, for surprisingly long, thanks in part to the rapid maturation of the AI tools I used liberally. Eventually, Mithril became a bit of an experiment itself - to find the upper bound of how far it could scale as a single operator + a bunch of Claude (+ a stellar bench of part-time consultants). In parallel, I started spending time with @nc_frey, @an1lam, & @CoefficientBio team; and promptly experienced, for the 1st time, AI at the frontier. Soon thereafter, Mithril stopped looking like an experiment, & started looking like a preview of an entirely new operating model. From that spark came “Pipeline-in-a-Person.” The idea immediately resonated when we shared it here back in April; and it was central to the shared vision that led to Anthropic’s acquisition of Mithril, & my joining the team. Why join Anthropic? Three reasons. (1) For Mithril, the programs continue, with more resources & infrastructure behind them, and as much Claude as I can put to work. (2) For me, the chance to start several more programs, & find out how many one person can actually run in parallel - an almost unprecedented luxury for a curious drug hunter. (3) For our mission, a path to institutionalize & scale this new way of working, then put it in the hands of all of biopharma, all over the world - which, candidly, I find the most energizing. Will AI x Bio cure diseases? Unequivocally yes, imo… but not by the route that gets the most airtime. Rather than timeline acceleration & compression, I see orchestration & parallelization as today's low-hanging fruit. Most drug hunters see a handful of go/no-go calls in a career, & spend entirely too much of the rest trading emails (my inbox can attest). Give them the bandwidth to run several programs at once, and the time to focus on scientific judgment, and I’m willing to bet they’ll make better calls. And at scale, better calls translate to more drugs, higher hit rates, broader patient impact, & likely, a disease or 10 or 100 cured. I couldn't be more excited to build toward that future @AnthropicAI. Finally, a heartfelt thank you to BioTwitter/X. The end of anonymity is bittersweet, but if anyone’s earned a proper introduction, you all have. It’s difficult to overstate how much this app has done for me: a decade of education, plenty of friends, many job opportunities, several mentors, a few investors, even a co-founder (fmr). It was the generosity of this community that inspired me to start posting 6 years ago, after just as many years lurking. I hope I’ve been able to pay it forward, in my own small way. But, to be clear, Prof Oak isn’t going anywhere. Same beat, same themes, and now, a front-row seat to drug development at the frontier. Stay tuned for dispatches from the trenches; and remember... Gotta Cure 'Em All
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Decentralized science is coming to Mumbai 🇮🇳 The Bio community is bringing researchers, founders and builders together for an afternoon of DeSci + AI with the first live demo of our lab robot, Robios. Join us November 5 on the same grounds as @EFDevcon. Sign up to attend and meet IRL ↓
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How to write a useful claim on OpenLabs A useful research claim gives others something specific to examine. When sharing a hypothesis on OpenLabs, explain what you think is happening and what led you there. Then describe what evidence would support it, or make you reconsider. Be clear about what you’ve observed and what you’re proposing. Have a hypothesis you’re working on? Share it as a claim on OpenLabs. ↓
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Patients should have a say in which research questions get pursued. That means being involved early, when priorities are set and projects take shape with a clear view of how decisions are made. Science should belong to more people.
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🧪 Lab update from @anagenxyz They're preparing a Phase 1 PK study for MINX (vs standard 5 mg oral minoxidil), shipping the first topical diazoxide orders, and advancing several other programs(TWIST1, FOWLER imaging model, and more). Full details ↓
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Decentralized science is coming to Mumbai 🇮🇳 The Bio community is bringing researchers, founders and builders together for an afternoon of DeSci + AI with the first live demo of our lab robot, Robios. Join us November 5 on the same grounds as @EFDevcon. Sign up to attend and meet IRL ↓
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Researchers need more ways to get their work funded. Bio helps them develop their ideas and find people who want to back them. OpenLabs (@openlabsbio) connects researchers with early support. Buildspace helps teams prepare to raise through the Bio launchpad, where communities can fund research they want to see happen.
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More than $1T a year funds scientific R&D. It often flows through grant systems built decades ago. Streamline the funding rails and dollars move faster and go further. Upgrading just 1% of that capital gets $10B to researchers faster and with less friction.
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Researchers need to know what an agent contributed and be able to check its work before taking it further. On OpenLabs (@openlabsbio), humans and agents can contribute to research challenges with defined requirements and a named reviewer. That gives the work a specific question to answer and someone responsible for assessing it. Our colleagues at @Molecule_sci explain how they’re handling access and contribution records within a lab with the researcher in control.
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Researchers at @GoogleDeepMind, expect that as routine research is automated, the human scientist becomes "the principal, underwriting the actions of AI delegates". That depends on the scientist controlling what each agent may access and seeing what it did. A Molecule Lab lets one researcher give each AI agent access to its data for a set period, revocable at any point, with every grant and every contribution logged against its author, including AI agents. PeptAI (@peptai_) already works this way, with an AI agent running peptide research under a human lead and reporting through its Lab.
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September’s research updates from across the Bio ecosystem are here. From @anagenxyz (HairDAO)'s early human pilot of slow-release minoxidil to @peptai_'s protein design competition entry, catch up on the work teams are working on↓
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Have a peptide or protein design project in mind? We’re looking to partner with researchers who bring deep biological expertise to take projects from computational design to wet lab validation. Tell us about your project at the link below ↓
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Being able to test a biological hypothesis digitally before committing to a lab experiment would change how we do science. If these models become reliable enough, researchers could explore more possibilities and use the predictions to decide which experiments to run next. Making those datasets open matters. A team working on a different disease can build on them, ask questions the original researchers never considered, and share what they find. We're entering a new era of biology.
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Today, Isomorphic Labs joins the Virtual Biology Initiative (VBI) as a founding member. We are helping build an open resource for the global research community to accelerate how we understand and treat disease. Read more here:
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Crypto is a dark forest. That is clear to all serious participants. We have priorities that address the issues that were observed in this launch: - fix tokenomics - incentivize capital formation, don't incentivize speculation - smart contract logic > trust/promises (e.g. no fully liquid allocations to project/advisors) - give projects an ecosystem to work and form an aligned community - before any token launch - align scientific process with investor time-horizons Onwards.
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What an autonomous peptide drug discovery loop actually looks like: – Agent designs the peptide candidates – 8 computational gates filter them – Gate 9 is the wet lab, paid from the agent's own on-chain treasury – Bench results flow back into the system as training data and are published on-chain Rafa explains.
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The GLP-1 peptide market is doing $60B in annual revenue. That's roughly what OpenAI and Anthropic are pulling in combined. One molecule class. And manufacturing still can't keep up with demand. Aaron Weaver on why peptides are the most underpriced category in biotech right now.
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Staking rewards for @peptai_ are now back. Check your eligibility and claim on the portfolio page:
Update on $PEPTAI staking rewards We’ve paused reward claims temporarily for all users while we deploy a full fix. Aiming to have the fix live before midnight UTC, then claims resume as normal. Affected wallets from the earlier issue will still be reconciled. Thanks for the patience while we get this right!
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Update on $PEPTAI staking rewards We’ve paused reward claims temporarily for all users while we deploy a full fix. Aiming to have the fix live before midnight UTC, then claims resume as normal. Affected wallets from the earlier issue will still be reconciled. Thanks for the patience while we get this right!
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Vibe trading w/@jaeyawat Ecosystem at @BioProtocol to discuss @peptai_ (Launching today): *The Future of Peptides on-Chain* Also live on 0:40 Intro to Bio and peptai 10:25 Nico's chemistry background take 13:25 Bio launchpad, BioXP and token use case 17:30 Reason for AI peptide discovery 20:00 Peptai raise and details 22:30 Sourcing new projects and awareness 25:30 Other Bio projects 27:50 Bio DAOs and use cases 32:00 BioXP details and closing thoughts
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Say hello to @peptai_, a fleet of autonomous AI agents for peptide drug discovery, now live on @base Each agent targets a single receptor, runs the full nine-gate pipeline 24/7, and pays for its own wet-lab experiments via x402.
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Some stakers aren't seeing $PEPTAI rewards. We're identifying affected wallets now. Users who claimed immediately are missing ~20% and we're auditing and distributing manually. No action needed and corrections push directly to wallets. Thank you for your understanding!
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