Data Driven Discovery of New Catalysts for Asymmetric Synthesis

数据驱动的不对称合成新催化剂的发现

• 批准号: DP240100102
• 负责人: Dr Daniel Priebbenow
• 金额: $ 31.83万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240100102
• 关键词: Data; Driven; Discovery; New; Catalysts

This project aims to discover new catalytic strategies for the synthesis of valuable nitrogen-containing molecules. An innovative approach combining statistical modelling techniques and chemical synthesis tactics will be used to establish a unique platform for predictable catalyst design that significantly accelerates the discovery process. As a result, new organometallic catalysts that efficiently convert simple and readily accessible chemical building blocks into complex chiral amine derivatives in a safer and more cost effective manner will be identified. These new catalytic strategies will be of significant utility, enabling the invention and more sustainable manufacture of agrochemicals, life-saving medicines, and functional materials.

该项目旨在发现合成有价值的含氮分子的新催化策略。将使用统计建模技术和化学合成策略相结合的创新方法来建立一个独特的可预测催化剂设计平台，从而显着加速发现过程。因此，将确定新的有机金属催化剂，其以更安全和更具成本效益的方式有效地将简单和容易获得的化学结构单元转化为复杂的手性胺衍生物。这些新的催化策略将具有重要的实用性，能够发明和更可持续地制造农用化学品，拯救生命的药物和功能材料。