BEable-GPS

BEable-GPS predicts the accessibility and suitability of cytosine base editors for targeting and potentially correcting pathogenic C-to-T single-nucleotide variants (SNVs) by cataloging editor-specific C-to-T editing efficiencies and product purities across genomic contexts.

Key Features:

• Comparative Analysis: Performs empirical comparison of five cytosine base editors, quantifying C-to-T editing efficiencies and product purities at commonly editable sites, including known human pathogenic C-to-T mutations.
• In Silico Profiling: Profiles the accessibility of 20 base editors to all conceivable pathogenic mutations within genomic contexts to indicate which editors can target specific SNVs.
• Database Development: Compiles a database mapping base editors to model or correct disease-related mutations to guide selection of appropriate editors for specific SNVs.

Scientific Applications:

• Pathogenic SNV targeting: Identifies which cytosine base editors can target and potentially correct human pathogenic C-to-T SNVs.
• In vivo experiment planning: Informs in vivo base-editing experimental design by providing empirical C-to-T editing efficiency and product purity data for five editors.
• In silico screening and prioritization: Enables genome-wide in silico screening of pathogenic SNVs against 20 base editors to prioritize target sites and editor choice.

Methodology:

Performed comprehensive in silico analyses assessing accessibility of 20 base editors across potential pathogenic mutations and aggregated results into the BEable-GPS database.