Our Computational Biology Team is composed of experts in bioinformatics, statistics, and data science who specialize in analyzing large multi-omics datasets to improve targeting and efficacy in genomic medicine. By integrating this data with advanced computational analysis and ML/DL methodologies, we aim to unlock new vector binding targets and optimize therapeutic payload expression.
Our Protein and Vector Engineering Team addresses the challenges of targeted delivery in genomic medicine by designing viral and non-viral vectors for precise cell-type specificity. By integrating our in-depth knowledge of structural biology, sophisticated machine learning techniques, and a comprehensive understanding of ligand-target interactions, we design next-generation therapeutic vehicles with enhanced efficacy and reduced off-target effects.