Designs and optimizes multi-component fusion protein sequences for FRET biosensors and gene synthesis.
Streamlines the complex process of engineering fusion proteins by providing a systematic framework for component identification, sequence extraction, and structural assembly. This skill offers specialized guidance for matching fluorescent proteins based on spectral properties, selecting appropriate linkers, and performing codon optimization with rigorous GC content constraints, ensuring that generated sequences are ready for laboratory synthesis and functional validation.
Key Features
01Sequence extraction and validation from PDB, FPbase, and GenBank sources
02Multi-domain assembly with intelligent linker selection and N-terminal handling
03Codon optimization for target organisms with sliding-window GC validation
0416 GitHub stars
05Standardized verification checkpoints for FRET compatibility and synthesis limits
06Systematic identification of proteins via spectral properties and database queries
Use Cases
01Generating optimized gBlock sequences for commercial gene synthesis
02Constructing FRET-based biosensors with precise spectral matching
03Designing tagged protein constructs for specialized binding applications
