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Variational autoencoder for design of synthetic viral vector serotypes - Nature Machine Intelligence

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Variational autoencoder for design of synthetic viral vector serotypes - Nature Machine Intelligence

Recent, rapid advances in deep generative models for protein design have focused on small proteins with lots of data. Such models perform poorly on large proteins with limited natural sequences, for instance, the capsid protein of adenoviruses and adeno-associated virus, which are common delivery vehicles for gene therapy.

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Variational autoencoder for design of synthetic viral vector serotypes - Nature Machine Intelligence

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Variational autoencoder for design of synthetic viral vector serotypes - Nature Machine Intelligence

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