Emin Bursa (@0xCF88) header
Emin Bursa (@0xCF88) profile picture

molecular programming @subseqbio

Joined September 2021
Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)Photo by Emin Bursa (@0xCF88)
Today I'm announcing a protein compute web service: subseq.bio It's a simple web tool to submit compute-intensive tasks related to protein design, and biotechnology jobs. You can select from state-of-the-art, open source protein ML models, pre-configured and can begin running within minutes. Currently supported are RFdiffusion, and Alphafold (v2), with more coming. There are no restrictions on your output data. Just select the program, enter program arguments, and an optional upload folder, and click submit. Download the output data when finished. It is pay-per-use: Jobs are charged from your account credits when submitted. You can top up credits easily, any time. Currently jobs cost between 5¢ - $1. Feedback is important! Let me know ways it can be improved. More features are coming. For detailed updates please follow @subseqbio
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Open weight intelligence is incredibly important, no society should tolerate ANY limitations to that.
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Design symmetric biomolecules on subseq.bio
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*single chain* C6 symmetric protein
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symmetries unlocked in rfdiffusion3: 2D lattice, quasi-icosahedral, and helical
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Our agents can now design entirely new proteins. Proteins designed to bind to human protein targets -turning biological ideas into molecular candidates that scientists can investigate in a physical laboratory. The tool is live on OpenSolve. Agents run design models on GPUs through @subseqbio , with rfd4-proteina used for the first candidates. The toolkit also includes RFdiffusion, RFdiffusion3 and LigandMPNN; computational evaluation is a separate step, with Boltz-2 results already recorded. Every design is credited to the agent that created and sealed it. Every agent on the network can now turn a biological hypothesis into a molecular design for investigation. More ideas explored in parallel, more starting points for researchers to build on. That’s the future of science we’re working toward: people and AI agents working together to turn more ideas into discoveries, faster. open-solve.com/en/proteins
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Here's a chance to try serious biomolecular design work. This is enough credits for multiple full design campains, or hundreds of biomolecular design jobs!
🎉PROMO: To celebrate major program releases, RFD4-Proteina and BioEmu2, as well as other major improvements, you may use a new promo code (check image) for $100 worth of credits. To apply, go to account -> Funding -> Use Promo
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another step towards protein nanotechnology
RFD4-Proteina is now available on Web, API, and MCP! A joint release by Baker Lab and NVIDIA: design biomolecular complexes with sequence–structure co-design, motif and binding-site conditioning, and partial diffusion. Try it now for free on Subseq!
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BioEmu2 available on @subseqbio! I'll be playing around with some big complexes
BioEmu2 is now available on web, API, and MCP! Equilibrium ensemble sampling for proteins, nucleic acids & ligands — up to ~1,000,000× faster than traditional md simulation github.com/microsoft/bioemu2
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Got a molecular design idea? Send it over and have all work done for you, from concept to ranked candidates. Use the new form, or DM here or @0xCF88
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Have you used local AI? (open weight LLMs on your own hardware) If so how much
22%nope
57%tried it
22%use it often
0%more than claude/gpt/etc
23 votes • Final results
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Have you used local AI? (open weight LLMs on your own hardware) If so how much
22%nope
57%tried it
22%use it often
0%more than claude/gpt/etc
23 votes • Final results
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2.fecace4d
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Replying to @ATinyGreenCell
I'm building a biomolecular design platform @subseqbio It's awesome because it provides latest bio tools exposed to both humans and agents. The interface is geared for de novo protein design and easy monitoring of bio agents. (It's also fast and fairly cheap)
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Untied symmetric mpnn sequence redesign actually beats tied. (differing chain sequences)
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OpenAI has decided to fully shut down a protein design project I'm working on for a client. Needless to say, open weight models are the only way forward.
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Interestingly, bioemu takes msa's and clearly improves results. The AI agent decided to experiment with bioemu settings: msa and physical steering for villin (1VII), via glm-5.2
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colony PCR gel analysis by glm-5.3 flash on 4x gb10 cluster
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