--- name: bioemu description: Generate and analyze protein conformational ensembles using BioEmu. license: MIT --- ## Activation Conditions Activate when users ask about BioEmu sampling, protein conformational ensembles, equilibrium structures, cryptic pockets, or protein dynamics analysis. ## Scope Boundaries - Focus on setup, inference routing, and output interpretation guidance. - Enforce credential safety rules and avoid exposing secrets. ## Quick Context - Reference app backend: `assets/reference-app/server`. - Reference app frontend: `assets/reference-app`. - Backend and frontend installs may each take several minutes on first run. - Configure credentials in `.env` without exposing secret values. ## Included Capabilities - Ensemble generation and conformational sampling. - Azure-backed inference integration. - MDTraj-based trajectory analysis. - Optional assistant-style workflows. ## Workflow 1. Confirm credentials are configured in `.env` without requesting secret values. 2. Route setup and first-run execution to `docs/quick-start.md`. 3. Route model behavior and limitations to `docs/model-details.md`. 4. Route data formats and integration to `docs/data-integration.md`. 5. Route errors to `docs/troubleshooting.md`. ## Routing - `docs/quick-start.md` for reference app startup. - `docs/application-patterns.md` for usage examples. - `docs/azure-setup.md` for Azure deployment. - `docs/model-details.md` for capability and limitation questions. ## Additional Resources - Blog overview: https://www.microsoft.com/en-us/research/blog/exploring-the-structural-changes-driving-protein-function-with-bioemu-1/ - Video overview: https://www.microsoft.com/en-us/research/video/scalable-emulation-of-protein-equilibrium-ensembles-with-bioemu/ - Technical deep dive: https://www.microsoft.com/en-us/research/video/scalable-emulation-of-protein-equilibrium-ensembles-with-bioemu-2/ ## Reference Links - BioEmu on GitHub: https://github.com/microsoft/bioemu - BioEmu on Azure AI Foundry: https://ai.azure.com/explore/models/BioEmu