tooluniverse-protein-therapeutic-design
OfficialAI-driven design of protein therapeutics.
Education & Research#protein-design#ProteinMPNN#RFdiffusion#AlphaFold2#developability#de novo-design#ESMFold
Authormims-harvard
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables rapid, AI-guided design of protein therapeutics by integrating backbone generation, sequence optimization, and rigorous validation into a repeatable workflow.
Core Features & Use Cases
- End-to-end protein design: generate de novo backbones with RFdiffusion, optimize sequences with ProteinMPNN, and validate structures with ESMFold/AlphaFold2.
- Developability-aware: incorporate aggregation, expression, and immunogenicity considerations into ranking.
- Use Case: design a binder against a target, then produce a ranked report with sequences ready for experimental testing.
Quick Start
Run a complete design pipeline by supplying a target or structure to generate backbones, design sequences, validate designs, and produce a final report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: tooluniverse-protein-therapeutic-design Download link: https://github.com/mims-harvard/ToolUniverse/archive/main.zip#tooluniverse-protein-therapeutic-design Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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