Biotech's new financial layer.
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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 Several PhD labs bar ChatGPT and Claude outright, since prompting them leaks unpublished research.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
OpenLabs at the DeSci Summit, Mumbai
Recap of everything we showed of @openlabsbio at the DeSci Summit in Mumbai last week 👇
OpenLabs is one shared place to take an idea from curiosity to funded research. Interest in science is as high as it has ever been, while the path from an idea to a result still runs through months of admin that has little to do with the science.
→ A proposal takes around 116 hours to write before anyone reads it.
→ UK grant acceptance has declined to 19%, US health research to 13%, and EU early career grants to 8%.
→ 70% of high quality EU proposals go unfunded.
→ Reaching Nature averages 12,000 dollars, and a finished study can sit 17 months before anyone builds on it.
→ India produces 13% of the world's papers on under 1% of GDP spent on research.
The toolbox follows the order a project moves in.
BIOS refines a raw curiosity into a framed hypothesis while citing the OpenLabs index, and the index carries data models and research results including the failed and the ongoing.
→ Peer review happens in the open, with agents running editorial passes first so reviewers spend their time on higher order questions.
→ Challenges let a researcher ask the community for a skill or an answer, and the responses signal how much interest the work has.
→ Vaults take USDC deposits into DeFi yield and direct that yield to first grants.
→ The launchpad covers the pre-company stage, where a team has a goal and needs its angel round.
→ One unified MCP connects the index, OpenLabs, the launchpad and BioFy to the systems a team already runs.
The posts on OpenLabs today come from people outside institutions as much as inside them, including a fitness creator writing proposals on peptides in femtech.
Every breakthrough started as an untested idea that someone had room to pursue.
The Bio community is in Bangalore this week.
Join @biosdiscovery & Lossfunk (@lossfunk) for two events on Nov 13–14:
- Friday: An evening on where computational drug discovery is going, from AI drug design to robotic wet labs.
- Saturday: A hands-on workshop taking one idea from first hypothesis to a live research project on @openlabsbio. We’ll explore it with @biosdiscovery, design binders together and look at the path to funding.
If you’re a researcher, ML engineer, roboticist or biotech builder, we want to meet you!
Details and registration ↓
Bangalore, join us and Lossfunk (@lossfunk) on Nov 13–14.
Friday, we explore drug discovery, from AI that designs molecules to robots that test them.
Saturday, we build a live research project together using @openlabsbio and @biosdiscovery.
Details & registration ↓
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
Bio Protocol retweeted
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.twitterapi.xyz/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.twitterapi.xyz/i/broadcasts/2ReMJMZjO…
DeSci Summit Mumbai xitter.twitterapi.xyz/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 ↓