Our Technology
Two complementary AI platforms working together to revolutionize genetic medicine
Suppressor tRNA Design Engine
Our proprietary AI platform designs suppressor tRNAs that can read through premature termination codons while maintaining cellular viability and minimizing off-target effects.
Generate Candidates
AI models generate diverse suppressor tRNA sequences based on target PTC context.
Structural Checks
ΔG/MFE analysis and ensemble folding predictions ensure structural viability.
Functional Checks
Cis-penalty, orthogonality, conservation, and RMSF/MD simulations validate function.
Rank & Explain
Feature weights and SHAP-like analysis provide interpretable candidate rankings.
tRNA Molecular Architecture
Each tRNA molecule is a precisely folded three-dimensional structure. Our AI platform analyzes these molecular architectures to design suppressor variants that maintain structural integrity while enabling stop codon readthrough.
Arginine tRNA
Wild-type structure
Serine tRNA
Modified anticodon
Glutamine tRNA
Suppressor variant
Tryptophan tRNA
Optimized design
AI-Powered Design
Machine learning models predict optimal suppressor tRNA sequences
Context Awareness
Considers local sequence context and cellular environment
Efficiency Optimization
Maximizes suppression while minimizing off-target effects