Pinned Tweet
September in the Biosphere 🌐
- Open Science Index: We launched a searchable directory with 6,720 scientific resources.
- Launchpad: We added credit-card wallet funding through Privy.
- New Bio website: We revamped our website, bringing BIOS, OpenLabs, Buildspace, Launchpad and Biofy together in one place.
- PeptAI: Selected for Track 2 of the Adaptyv Bio × Anthropic Protein Design Competition.
- NeuroLab Ignition Sale: The sale closed 2.2× oversubscribed, with more than 442K USDC committed by over 650 participants. NDT reward claims for veBIO stakers are now live on app.bio.xyz. We also refunded all BioXP spent on the Ignition Sale.
Read the full monthly report ↓
Highlights and key takeaways from DeSci Summit Mumbai this week 👇
→ The IP question decides whether a biologist can use frontier models at all. Several PhD labs bar ChatGPT and Claude outright, since prompting them leaks unpublished research.
→ Ask a frontier model to design a 10 amino acid peptide that binds and inhibits the SARS-CoV main protease and the request gets flagged. Both refusals ran live on stage, and the same prompt at @biosdiscovery returned an answer plus a route into a binder generation pipeline.
→ Finding a binder is finding a needle in a haystack. Doing it in silico only became possible after @GoogleDeepMind in 2020 and RFdiffusion from the Baker Lab.
→ Ten scored binders come back within ten minutes. The models sit on 200 GPUs, which opens the platform to anyone who shows up today.
→ RFdiffusion 4 runs on Mac, ported by @GeeveGeorge and currently the fastest RFdiffusion MLX model. A scientist designing a drug keeps every piece of data on their own machine.
→ A Qwen 8B model runs at 100 tokens/sec on M1 through M5 using custom kernels, ahead of ZSpec and Splash. The team calls it spec metal.
→ Qwen orchestrates and RFdiffusion designs, so drug discovery runs fully locally. The @biosdiscovery CLI is agent-native, built on the view that agents will be the ones using this software.
→ In coding and math the verifier is fast. In biology the verifier is the world, which is why wet lab demand rises as more people design medicines with AI.
→ Robios ran its first live demonstration. It loads and unloads the machine and records conditions like temperature, so two runs can be compared.
→ Human in the loop throughout. A senior scientist watches from home, gives feedback at any time, and steers it mid-run.
→ Competitors buy their robots from OEMs at prices most labs are unable to afford. Robios is built on open source and aimed at NCBS Bangalore and a wet lab in Mumbai.
→ Local agentic swarms are next, 10 to 20 agents on a MacBook reading real research papers and citing them. Citation is how hallucination gets reduced.
→ A research proposal takes around 116 hours to write. Grant acceptance has declined to 19% in the UK, 13% for US health research, and 8% for EU early career awards.
→ Publication costs roughly $12,000 at Nature and 17 months. @openlabsbio puts those first steps in one place, with an index covering failed and ongoing work, challenges for calling in skills, vaults funding first studies, and a launchpad for pre-company raises.
Idea, lab, funded IP, product.
Every layer we build shortens one of those and opens the next.
Full talks ↓
Bio Protocol retweeted
Spine surgeons came together to build FILTER, an AI tool for patient triage. Its new licensing deal creates a path into clinics, with the community keeping ownership and royalties supporting the next study.
Congrats to @Spine_DAO on taking this work forward!
Spine surgeons pooled their data and built an AI to get the right patient seen at the right time.
The community owns the IP and it’s now licensed to VECTOR SAS to bring it to clinics, with the royalty funding the next study.
That’s the DeSci loop, closed. FILTER live at @EFDevcon DeSci hub thanks to @DeSciIndia @DeSciAsia @messi_boii @swiftevo1
Our community funded the science. Now $VITARNA holders help decide the next experiment.
The bet underneath this vote: you don't have to repair every broken letter in your DNA. You just have to get the cell to read past it.
VRNAP-6 asks whether that changes how a mouse ages -> carried in every cell from birth, aged beside unedited littermates, judged on lifespan and healthspan.
@vitarnabio proposes testing it, starting with tolerability. No new raise.
👉Read the proposal and cast your vote.
snapshot.org/#/s:vitarna.eth…
As we age, cells pile up "stop" errors in their DNA that cut proteins short.
@artan_bio's Codon Therapy is built to read through them.
VRNAP-6 asks: do we test it for a whole lifetime?
🐭 Mice carry the fix from birth
📊 We track lifespan, frailty, grip, balance, gait 👇
Robios in action at DeSci Mumbai!
AI-designed molecules still need to be tested in the lab. With Robios, we’re exploring how robotics could help researchers turn those designs into experiments and use the results to guide what comes next.
From an initial question to a project developed in public, Ryan is showing how researchers can use @openlabsbio to find tools and work alongside AI agents and other contributors to move their ideas forward.
DeSci Summit Mumbai xitter.gq/i/broadcasts/2ReMJMZjO…
DeSci Mumbai is LIVE! 🇮🇳
The BIOS team kick things off with the first live demo of Robios, the lab robot Bio Protocol has been building.
Tune in live ↓ xitter.gq/i/broadcasts/2ReMJMZjO…
DeSci Summit Mumbai xitter.gq/i/broadcasts/2ReMJMZjO…
Doors are open at DeSci Mumbai! 🇮🇳
We’re gathering on the same grounds as @EFDevcon.
Come grab a coffee, meet the Bio community and settle in. Talks kick off in an hour!
DeSci Mumbai @EFDevcon is TOMORROW! 🇮🇳
Meet the people building AI tools for research, bringing robots into the lab and developing new ideas on @openlabsbio. Plus, see our lab robot, Robios, in action for the first time.
Register to attend or watch the livestream ↓
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 ↓
More researchers should be able to use scientific tools on hardware they already own.
BIOS has brought RFD4-Proteina to the MacBook, letting researchers explore predicted protein binder designs locally and keep their data on their own machine.
Try it below ↓
RFD4-Proteina now runs locally on a MacBook.
Introducing BIOS’s Mac port: generate candidate protein binders and screen their predicted structures locally.
Built with MLX and custom Metal kernels.
• 2.2× faster generation than stock PyTorch-MPS at its default precision
• 20 designs generated and screened → 10 ranked candidates in about 12 minutes on GLP-1R (M5 Pro)
We believe more researchers should be able to run AI experiments on their own hardware. Test ideas locally, keep your research private, and scale to NVIDIA GPUs when you’re ready. After setup, the workflow runs offline.
Watch it run below. ↓
Bio Protocol retweeted
What would happen if we could stop the functional consequences of somatic mutations we know accumulate over time?
Let's walk through what the data say. 🧬👇
@vitarnabio @vita_dao @artan_bio @Bodeeeman @aschwartzphd
DeSci Mumbai kicks off next week 🧪🇮🇳
Exploring decentralized and agentic science with a BIOS keynote on AI-designed binders & robotic labs, the first live demo of our lab robot, Robios, and a look at what’s happening on @openlabsbio.
At @EFDevcon next week? Come by on November 5 for an afternoon of DeSci + AI.
RSVP in the link below ↓
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 ↓
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
Bio Protocol retweeted
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 ↓













