Self-driving laboratories for autonomous exploration of protein sequence space

项目摘要/摘要 我们计划发展完全自主的“自动驾驶实验室”，以快速为布罗德制造酶。 在生物医学和生物催化方面的应用。我们的方法模仿了蛋白质工程的方法学。 具有人工智能层的研究人员，建立了对蛋白质序列-结构-功能和计划的理解 测试特定蛋白质设计假设的实验，以及实验测试的机器人系统 通过合成基因、表达蛋白质和进行生物化学测量来设计蛋白质 酶活性。智能代理和实验自动化之间的无缝集成使 自主设计-测试-学习循环，以了解和优化序列功能景观。自我- 驾驶实验室将通过自动化使生物分子工程和合成生物学领域发生革命性的变化 非常低效、耗时和费力的蛋白质工程活动，实现了快速的周转， 并允许研究人员将精力集中在重要的下游应用上。

PROJECT SUMMARY/ABSTRACT We propose to develop fully autonomous “self-driving laboratories” to rapidly engineer enzymes for broad applications in biomedicine and biocatalysis. Our approach mimics the methodology of a protein engineering researcher with an AI layer that builds an understanding of protein sequence-structure-function and plans experiments to test specific protein design hypotheses, and a robotic system that experimentally tests designed proteins by synthesizing genes, expressing proteins, and performing biochemical measurements of enzyme activity. Seamless integration between the intelligent agent and experimental automation enables fully autonomous design-test-learn cycles to understand and optimize the sequence-function landscape. Self- driving laboratories will revolutionize the fields of biomolecular engineering and synthetic biology by automating highly inefficient, time consuming, and laborious protein engineering campaigns, enabling rapid turnaround, and allowing researchers to focus efforts on important downstream applications.