A set of 20 computational metrics was evaluated to determine whether they could predict the functionality of synthetic enzyme sequences produced by generative protein models, resulting in the development of a computational filter, COMPSS, that increased experimental success rates by 50–150%, tested in over 500 natural and AI-generated enzymes.

中文翻译：

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评估人工智能生成的酶的实验室性能

对一组 20 个计算指标进行了评估，以确定它们是否可以预测生成蛋白模​​型产生的合成酶序列的功能，从而开发了计算过滤器 COMPSS，该过滤器将实验成功率提高了 50-150%，并在超过 500 种天然酶和人工智能生成的酶。