mutation-design-gfp
CommunityAutomated design of high-fluorescence GFP mutants.
Education & Research#bioinformatics#machine-learning#protein-engineering#sequence-optimization#gfp#mutant-design#in-silico-evolution
AuthorPharMolix
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Proposes automated multi-round design of GFP mutants to maximize fluorescence intensity and sequence diversity.
Core Features & Use Cases
- Automated multi-round design: orchestrates iterative rounds of sequence proposal, evaluation, and selection.
- Sourcing and modeling: downloads initial GFP sequences and an in-silico oracle GFP predictor model to score candidates.
- Diversity-aware optimization: maintains diversity using average pairwise Hamming distance while selecting top performers.
- Output delivery: exports a 96-sequence CSV with predicted fluorescence as a fitness score.
- Use cases include designing GFP libraries with improved fluorescence and diversity for experimental screening or in-silico studies.
Quick Start
Provide initial GFP sequences or a seed pool and run the GFP mutation design skill to generate the top 96 predicted mutants.
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: mutation-design-gfp Download link: https://github.com/PharMolix/OpenBioMed/archive/main.zip#mutation-design-gfp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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