Project

Adeno-associated viruses (AAV) are the vectors of choice for transgene delivery in experimental, pre-clinical and clinical gene therapy. AAV capsids show different tropisms depending on capsid serotype, and modifications to capsid structure can alter infectivity. In our project, we aim to combine two technologies: directed evolution, whereby rounds of selective pressure are applied to highly diverse capsid libraries, and machine learning, where analysis of large next-generation sequencing datasets acquired from the AAV libraries is capable of refining the search for efficient AAV viral vectors.