Application of Bioinformatics Tools in the Optimization of mRNA Sequences Focused on Vaccine and Therapeutic Development

Resumo

This in silico study explored the optimization of therapeutic RNA modeling using AI (AlphaFold3, Boltz-1, Chai-1). An assembly method combined high-confidence regions to model complex sequences. Quality was evaluated using five standardized metrics (secondary structure, stability, translation, immunogenicity, and production). Simulations and bioinformatics analyses were used to assess the stability and function of the optimized structures. The objective was to develop more accurate and comparable modeling methodologies for therapeutic RNA design, while recognizing the need for subsequent experimental validation.