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Computational scoring and experimental evaluation of enzymes generated by neural networks

Biology

Computational scoring and experimental evaluation of enzymes generated by neural networks

S. R. Johnson, X. Fu, et al.

This captivating research by Sean R. Johnson and team dives deep into evaluating 20 metrics for enzyme sequence quality, revealing a significant breakthrough with the COMPSS computational filter that boosts experimental success rates by 50-150%. Discover how this work sets a benchmark for generative models and advances the field of protein engineering.

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Playback language: English
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