RaGene is an AI-driven gene design platform specializing in codon optimization, with significant promise to address challenges and deliver innovations in DNA synthesis, protein expression, mRNA therapeutics, cell therapy, and gene therapy.
Unlike conventional rule-based approaches, which rely on predetermined criteria such as codon usage frequency or the Codon Adaptation Index (CAI), RaGene employs a data-driven methodology for sequence optimization. By leveraging artificial intelligence, the platform effectively addresses the inherent limitations of traditional methods by accounting for the biological complexity of various contexts. RaGene extracts and predicts host, cell line, protein, and use case-specific features, enabling broad generalization and improved outcomes.
The multi-parameter optimization capabilities of RaGene present a novel approach to enhancing cell and gene therapies, specifically in terms of specificity and efficacy. Moreover, RaGene offers the potential to reduce the costs associated with the development and production of new therapeutics, thereby facilitating efficient and cost-effective market entry.
