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rfdiffusion

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    # RFdiffusion Backbone Generation

Diffusion-based de novo protein backbone generation. Use for: binder scaffolds targeting specific hotspot residues, novel fold generation, motif scaffolding, and symmetric oligomer design.

## Requirements

- Python 3.9+
- 16–24 GB GPU VRAM (A100 recommended for large designs)
- ~2 GB disk for model weights

## Installation

```bash
# Via SE3-Diffusion environment (recommended)
conda create -n rfdiffusion python=3.9