Antibiotic discovery using a DBTL plug-and-play robotics pipeline

使用 DBTL 即插即用机器人管道发现抗生素

• 批准号: 2898886
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2898886
• 关键词: Antibiotic; discovery; using; DBTL; plug

The project combines research areas pioneered by the supervising team, in an interdisciplinaryapproach: advanced genome mining and editing; expression host engineering; biosynthetic pathwaydiscovery, design and optimisation; and statistical learning strategies. It exploits capabilities in high-throughput robotics, large-scale screening and machine learning available in the participatinggroups.The application case targeted in this project focuses on creating an optimized Escherichia coli hostfor the production of type II polyketide drugs (antimicrobials and anticancer agents). The work willinclude three closely interlinked work packages, which will interact through an iterative design -build - test - learn cycle in several rounds during the lifetime of the project

该项目结合了由监督团队开创的研究领域，采用跨学科方法：先进的基因组挖掘和编辑;表达宿主工程;生物合成途径发现，设计和优化;以及统计学习策略。该项目的应用案例集中于创建用于生产II型聚酮药物（抗菌剂和抗癌剂）的优化大肠杆菌宿主。这项工作将包括三个紧密相连的工作包，它们将在项目的生命周期中通过几轮迭代的设计-构建-测试-学习循环进行交互。