DescriptionScientists are dependent on lead chemical compounds with precise ‘drugable’ properties. Chemical synthesis of a new drug target often requires many reaction steps. A key problem is in optimising each chemical reaction, which is a labour-intensive and time-consuming process. It is common to dedicate six months to one reaction step, creating a drug development bottleneck, arising from the way that chemical reactions are optimised. This inefficient work pattern operates in chemical synthesis laboratories the world over. Using a combination of robotics, statistical analysis and machine learning it is possible to greatly improve the chemical synthesis of drug targets. I will introduce new approaches used in our research programmes in my talk. Improving reaction efficiency, sustainability and safety are key drivers for the use of robotic systems in chemical synthesis.
|28 Feb 2020
|Degree of Recognition
Documents & Links
Project: Research project (funded) › Research
CFH1 Partnership - Pharmaceutical Optimisation using a Laboratory Automated Reaction Intelligent System (POLARIS)
Project: Other project › Other internal award