Snowprint-UI

Snowprint-UI predicts DNA-binding sequences of transcription factors to enable discovery of ligand-inducible transcriptional regulators for bioengineering applications.

Key Features:

• Protein-agnostic prediction: Predicts regulator:operator interactions without requiring protein structural information, functioning across five distinct structural families.
• Cross-phylum benchmarking: Predictions are significantly similar for >45% of experimentally validated regulator:operator pairs from organisms across nine phyla.
• Promoter design capability: Designs promoters for previously uncharacterized regulators sourced from diverse phylogenies.
• Dynamic range validation: Identifies regulators producing >20-fold dynamic ranges in gene expression.

Scientific Applications:

• Genetic biosensor discovery: Mines novel ligand-inducible transcription regulators from genomes for chemical-responsive control of gene expression.
• Promoter engineering: Designs functional promoters for uncharacterized regulators to enable their use in genetic circuits.
• Compound-specific sensor development: Screens repurposed regulators for response to biomanufacturing-relevant compounds including polyketides, terpenes, steroids, and alkaloids.
• Gene expression control: Enables dynamic regulation of gene expression with induction ratios up to 10.7-fold.

Methodology:

Snowprint uses a protein-agnostic bioinformatic approach to predict regulator:operator interactions; specific algorithmic details are not stated in the sources.