Dyno sketches tens of thousands of viable next-gen AAV capsids with the help of machine learning — paper
Since its launch in May 2020, Dyno Therapeutics has touted its platform’s potential to discover viable variations of current-gen AAVs with noticeable limitations in terms of patient safety and efficacy. Now, according to a new study, Dyno has used its neural network to outline tens of thousands of variants that could add weight to its mission to build a better capsid.
In a study meant to determine how many viable variants of the AAV2 capsid it could design with the aid of machine learning, Dyno sketched out more than 100,000 viruses that could be used to carry gene therapies, according to a new paper published in Nature Biotechnology.
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