Protein engineering seeks to identify protein sequences with optimized properties. When guided by machine learning, protein sequence generation methods can draw on prior knowledge and experimental efforts to improve this process. In this review, we highlight recent applications of machine learning to generate protein sequences, focusing on the emerging field of deep generative methods.

中文翻译：

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具有深度生成模型的蛋白质序列设计

蛋白质工程旨在识别具有优化特性的蛋白质序列。在机器学习的指导下，蛋白质序列生成方法可以利用先验知识和实验努力来改进这一过程。在这篇综述中，我们重点介绍了机器学习在生成蛋白质序列方面的最新应用，重点关注深度生成方法的新兴领域。