🧬 Introducing Protocols: Reproducible AI Workflows for Molecular Design

Protocols
 are reproducible, end-to-end workflows that define how BioLM models and tools work together to achieve a design goal. Think of them as experiment blueprints
: structured, versioned, and repeatable.
What’s New
🧪 Protocols Tab:
 A new home in Console for running and managing your workflows.  
💡 Built-In Protocols:
 Start with AntiFold Design Antibodies
, an end-to-end pipeline for generating and scoring antibody variants.  
⚙️ Custom Protocols:
 Define your own protocol logic using a simple YAML schema — including input parameters, batch limits, and Pub/Sub configuration.  
📊 Interactive Results:
 Each run produces a detailed dashboard showing folding stages, RMSD calculations, ranked variant scores, etc.  
🔁 Versioned & Shareable:
 Duplicate, modify, and rerun protocols using GitHub for consistent, reproducible design studies.
Why It Matters
Protocols make it easy to codify best practices
 in your molecular design workflow — reducing manual setup, improving traceability, and helping teams standardize complex AI-driven experiments.
Try It Now
Go to Console → Protocols
 to explore the built-in AntiFold Design Antibodies
 workflow or upload your own YAML blueprint to create a new one.
Run a Protocol or learn more in our help docs.