Quantifying DNA and protein structure and interactions for improved therapeutic targeting

量化 DNA 和蛋白质结构及相互作用以改善治疗靶向

• 批准号: 2740201
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2740201
• 关键词: Quantifying; DNA; protein; structure; interactions

Atomic Force Microscopy (AFM) is a powerful technique to determine the morphology of complex nanoscale assemblies, such as DNA, and RNA therapeutics. It therefore has huge potential to transform materials characterization across sectors from medicine to manufacturing, providing rapid feedback into the efficiency of their manufacturing processes. AFM is limited, however, by its analysis tools, with the majority still carried out by hand, relying on highly trained and experienced researchers. The lack of automated analysis tools for the field is the rate limiting step for the use of AFM in translational settings including in the development of novel therapeutics. This project will develop and apply our rapid AFM analysis pipeline (www.github.com/AFM-SPM/TopoStats), to determine the shape, morphology and homogeneity of DNA, proteins and novel therapeutics in solution.

原子力显微镜（AFM）是一种强大的技术，用于确定复杂的纳米级组件，如DNA和RNA治疗的形态。因此，它具有巨大的潜力，可以改变从医学到制造业的各个行业的材料特性，为制造过程的效率提供快速反馈。然而，AFM受到其分析工具的限制，大多数仍然是手工进行的，依赖于训练有素和经验丰富的研究人员。该领域缺乏自动化分析工具是AFM在翻译环境中使用的限速步骤，包括开发新的治疗方法。该项目将开发和应用我们的快速AFM分析管道（www.github.com/AFM-SPM/TopoStats），以确定溶液中DNA，蛋白质和新型治疗剂的形状，形态和均匀性。