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rfdiffusion

Maintainer FreedomIntelligence · Last updated April 1, 2026

Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after ba….

OpenClawNanoClawAnalysisReproductionrfdiffusion🔬 omics & computational biologyprotein structure & designgenerate

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/rfdiffusion

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • git clone https://github.com/hgbrian/biomodals && cd biomodals.
  • modal run modal_rfdiffusion.py \ --pdb target.pdb \ --contigs "A1-150/0 70-100" \ --hotspot "A45,A67,A89" \ --num-designs 100.

Source Doc

Excerpt From SKILL.md

Prerequisites

RequirementMinimumRecommended
Python3.9+3.10
CUDA11.7+12.0+
GPU VRAM16GB24GB (A10G)
RAM16GB32GB

How to run

First time? See Installation Guide to set up Modal and biomodals.

With custom GPU/timeout

GPU=A100 TIMEOUT=60 modal run modal_rfdiffusion.py
--pdb target.pdb
--contigs "A1-150/0 70-100"
--num-designs 100


**GPU**: A10G (24GB) | **Timeout**: 30min default

Use cases

  • Use rfdiffusion in research workflows aligned with this subject area.
  • Follow the upstream documentation for the full working procedure.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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