genie3
CommunityFast, end-to-end SE(3)-equivariant protein design.
Design & Creative#diffusion#protein-design#motif-scaffolding#binder-design#colabfold#genie3#se3-equivariant
AuthorLiorZ
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Genie3 automates end-to-end de novo protein design workflows from installation to design evaluation, enabling researchers to explore scaffolded designs and binders at scale.
Core Features & Use Cases
- End-to-end diffusion-model design for monomers, motifs, and binders, with multi-GPU and multi-node scaling.
- Flexible workflows: unconditional design, motif scaffolding, and target binder design, plus beam search and iterative conditioning.
- Integrations with backends like ProteinMPNN and ColabFold, plus problem-prep and result-reduction tooling to produce publishable designs.
Quick Start
Clone the Genie 3 repo, install the environment, and run a tiny unconditional example with the included YAML.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: genie3 Download link: https://github.com/LiorZ/protein-design-skills/archive/main.zip#genie3 Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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