subseq.bio is a minimal web + API service for running protein design/analysis and related workloads. It hosts pre-configured, open-source models and programs such as RFdiffusion3, BoltzGen, AlphaFold, and others, in a simple to use interface.
Backstory
I’ve been obsessed with molecular nanotechnology for a long time. Just before ChatGPT was announced I was following the RFdiffusion work from Baker Lab at the Institute for Protein Design and it felt like a clear inflection point for practical synthetic protein generation.
Since then there’s been a steady stream of new ML models in this space, so I put together a system for composing and running them through a consistent and programmatic interface: subseq.bio.
Technical bits
- All programs use open-source code and weights. (no licensing restrictions and good for reproducibility)
- API-first: anything you can do in the UI is available via the API.
- Focused on synthetic protein design and related workloads.
- Jobs are charged per use (no subscriptions), but new sign-ins get free credits so you can try things out.
I know this is pretty niche and aimed at people already doing protein design / structure prediction, but I’d love to answer questions and to read any feedback.
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Show HN: Subseq.bio – A Simple Web and API Service for Protein Design · HackerTrans
subseq.bio is a minimal web + API service for running protein design/analysis and related workloads. It hosts pre-configured, open-source models and programs such as RFdiffusion3, BoltzGen, AlphaFold, and others, in a simple to use interface.
Backstory
I’ve been obsessed with molecular nanotechnology for a long time. Just before ChatGPT was announced I was following the RFdiffusion work from Baker Lab at the Institute for Protein Design and it felt like a clear inflection point for practical synthetic protein generation.
Since then there’s been a steady stream of new ML models in this space, so I put together a system for composing and running them through a consistent and programmatic interface: subseq.bio.
Technical bits
- All programs use open-source code and weights. (no licensing restrictions and good for reproducibility) - API-first: anything you can do in the UI is available via the API. - Focused on synthetic protein design and related workloads. - Jobs are charged per use (no subscriptions), but new sign-ins get free credits so you can try things out.
I also recently added an MCP server for AI agent integration: https://subseq.bio/mcp
There’s no OAuth yet, but it works with an API key env var; you can grab a key from the site. Example codex config:
For a visual overview, here’s a short video demo of a BoltzGen binder run on an AlphaFold2 output in the web UI: https://x.com/0xCF88/status/1995994854585696515
I know this is pretty niche and aimed at people already doing protein design / structure prediction, but I’d love to answer questions and to read any feedback.