protein-assembly

Design fusion protein gBlock DNA sequences with GS linkers and codon optimization.

134|21|Updated Nov 12, 2025
One-click install
npx skills add https://github.com/letta-ai/skills --skill protein-assembly
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: protein-assembly
Source: https://github.com/letta-ai/skills/tree/main/ai/benchmarks/letta/terminal-bench-2/trajectory-feedback/protein-assembly
Command: npx skills add https://github.com/letta-ai/skills --skill protein-assembly

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides structured guidance for designing fusion protein gBlock sequences by combining multiple protein components with specified linkers and codon optimization constraints.

Core Features & Use Cases

  • Catalog input protein sequences from diverse sources
  • Phase-based assembly order with GS linkers
  • Codon optimization and GC-content control
  • Output generation and documentation for synthesis

Quick Start

Assemble a fusion protein sequence from three components with GS linkers and generate the final DNA sequence.

Frequently Asked Questions about protein-assembly

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a fusion protein with optimized linkers and codon constraints?

Fusion protein design combines multiple protein components with GS linkers while optimizing codons for GC-content targets. This Skill automates assembly order, linker placement, codon optimization, and generates synthesis-ready DNA sequences from PDB-derived proteins, plasmid CDS, or protein database sources.

Can I use PDB structures and plasmid sequences in the same fusion protein?

Yes. This Skill catalogs protein components from diverse sources—PDB files, plasmid coding sequences, and protein databases—and assembles them into a single fusion construct with specified linkers and codon optimization applied uniformly.

How does GC-content control work during codon optimization for fusion proteins?

Codon optimization analyzes GC content using sliding-window validation to keep sequences within specified constraints. The Skill enforces these limits across the entire fusion construct while preserving protein function and synthesis readiness.

What happens to the N-terminal methionine in multi-component fusion proteins?

This Skill explicitly handles N-terminal methionine placement across fusion components. It enforces exact protein order with GS linkers and validates sequence integrity so the final assembly maintains correct translational start sites and reading frames.

Do I need to manually validate GC content and sequence length for synthesis?

No. This Skill automatically validates sequences, analyzes GC content in sliding windows, ensures length constraints are met, and outputs a synthesis-ready gBlock DNA sequence file—eliminating manual validation steps before ordering.

Can I match fluorescent proteins by wavelength while building a fusion construct?

Yes. This Skill supports wavelength-matched fluorescent protein selection as part of fusion assembly, allowing you to pair compatible FP components with optimized linkers in a single coordinated design workflow.