Emin Bursa

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

@EMDB_EMPIAR @PDBeurope what protein is this

Job alert: Biology is amazing (EMD-70204). As a biocurator, you get a front-row seat to the structures being deposited in the world’s structural biology databases. Come join the EMDB and OneDep biocuration team. We’re hiring a biocurator. Apply by 2nd Aug: tinyurl.com/47t93kxp

@marty_kausas you might like what Im working on #khave

i'm so sick of using claude code in a terminal i'm not coding. who has made a great app that i can use with any model?

new structure predictor! this marks the 8th on subseq

qwen 3.6 is a very impressive model. I'm really looking forward to more from them

New paper! Designing quantum circuits using Lie group diffusion models: arxiv.org/abs/2606.29636 Instead of doing just boring normal diffusion, I encode the physical structure of quantum gates, which live in the Lie group SU(2), by doing diffusion natively on SU(2)! I also show how this produces diverse circuits for interesting Hamiltonians like the Transverse-Field Ising Model (TFIM) and the Heisenberg-XXZ Model. Crucially, the generated circuits are subject to realistic hardware constraints from actual quantum processors so that they're not just AI slop. 🧵

well, much further than fable. still lame

ok so gpt-5.6 sol is really good and usable for bio stuff so far🤞

@thekevinmcp what do you feel is being violated?

The longevity movement does not make sense to me, personally. I get personal health, yes. But longevity -- especially taken in the "Don't Die" realm -- feels like something is being violated and not in a good way.

Pipelines massively improved. You can now stitch together full binder design campaigns, with new filtering steps, and save/reuse templates. I'll publish some pre-made templates soon.

I see how it is @openai

@hmellor_ @vllm_project does vllm better support ggufs yet

I have HUGE news about the Transformers modelling backend for @vllm_project v0.25.0 🚀 It has reached performance parity with native vLLM model implementations 🤯 The Transformers modelling backend has just become a zero-effort, zero-compromise way to deploy to vLLM!

@Junioryu136689 nice. if you're adding computational platforms, should include @subseqbio !

I built a global directory of AI Biology labs and research teams: Awesome AI Biology Labs 🧬🤖 A lab/team-centric map of the people and groups building at the intersection of AI and biology — searchable by category, type, country, and tier, with provenance tags for every entry. The goal is simple: make the global AI × Bio research landscape easier to explore. biotender.online/labs/ More labs will be added continuously. Contributions and corrections are welcome.

i have now sequenced my own DNA 5x at home and learned so much about myself i wrote out the protocol here so anyone can follow it and talk to their DNA: bradleywoolf.com/links-1/sequen… a lot of people helped with this, they are all mentioned below

@WilliamCQHua greatly looking forward to this

People may like or not like the name. To us, a drug discovery engine should be a system of folding, scoring, design, epitope prediction, affinity prediction, and more. We try to build a 100% open-source drug discovery ecosystem for everyone to use.

OpenDDE is not a simple reproduction of IsoDDE. We just want to build an open-source ecosystem towards REAL Drug Discovery Engine. The core is co-folding, but what's next? The next-preview release is about design.

@AjasjaLjubetic great candidate for a custom @subseqbio pipeline

Have you ever wanted to get into de novo protein design, but didn't know where to start? Or are you just tired of writing messy one-off scripts to glue together RFDiffusion, ProteinMPNN, and structure prediction tools (ColabFold, AF3, Boltz2)? Then we have a treat for you!

@compchemm very nice! really nice diagrams

@0xCF88 Use prompt: "modern Davinci sketch style" and then from there onwards you can add text, remove anything you don't need etc.

David Baker & Veesler labs "building viruses - Institute for Protein Design (IPD) -Two new Nature papers - "building viruses, at University of Washington" if you believe the headlines. What they've actually done is more interesting than that. ullahsamee.substack.com/p/david-baker-…

@TensorTwerker yes. cyanogenmod'ing my phones :D

anyone remebers xda developers? as a kid, i was hooked to that website lol