Listening to proteins with EARS: Enhanced Acoustic Raman spectroscopy of information flow across the interface between proteins and their environment

用 EARS 聆听蛋白质：蛋白质与其环境之间界面信息流的增强声学拉曼光谱

• 批准号: 2530949
• 金额: --
• 依托单位: Durham University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2530949
• 关键词: Listening; proteins; EARS; Enhanced; Acoustic

We have built an EARS experiment that allows single proteins to be optically trapped by a gold nanostructure and exposed to the GHz frequencies that will activate their global vibrational modes. This project will investigate how proteins interact with the water that surrounds them and how that interaction is modified by the presence of various biologically relevant ions in solution. The project will further aim to demonstrate the ability of EARS to determine in a native label free way the self-assembly state and orientation of monomers create when proteins assemble into their functional form. The project will also involve collecting a range of spectra of proteins previously studied using other techniques in order to provide information for the development of more accurate elastic network models. These ENM models are used in a wide variety of applications including the prediction of binding affinities for drug discover pipelines and the search for novel protein conformations useful in the treatment of disease.

我们已经建立了一个EARS实验，该实验允许单个蛋白质被金纳米结构光学捕获，并暴露于GHz频率，这将激活它们的全局振动模式。该项目将研究蛋白质如何与周围的水相互作用，以及这种相互作用如何通过溶液中各种生物相关离子的存在而改变。该项目将进一步旨在证明EARS以天然标签自由方式确定蛋白质组装成其功能形式时单体的自组装状态和方向的能力。该项目还将涉及收集以前使用其他技术研究的蛋白质的一系列光谱，以便为开发更准确的弹性网络模型提供信息。这些ENM模型用于各种各样的应用，包括预测药物发现管道的结合亲和力和寻找用于治疗疾病的新型蛋白质构象。