Taysha IPO Presentation Deck

Utilizing machine learning, DNA shuffling, and directed evolution for capsid discovery High-content sequencing of recovered capsid pools - Using sequencing data from in vivo selection to feed machine learning algorithms, for in silico design of novel capsids - Development of new libraries, based on capsid- spanning modifications rather than just peptide insertions - Directed evolution to generate CNS-directed capsids, cross-compatible between mice and NHPs ITR Rep Cap ITR Capsid genes of AAV1-6, 8, 9, rh10,+ lab variants DNasel fragmentation Assembly and amplification Directed evolution of novel AAV variants Selection of cell type-specific AAV variants for vector development 46

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