Engineering proteins to detect counterfeit molecules
工程蛋白质以检测假冒分子
基本信息
- 批准号:2751699
- 负责人:
- 金额:--
- 依托单位:
- 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:未结题
- 来源:
- 关键词:
项目摘要
At the heart of many biosensors is a protein that has been engineered to bind the target molecule. To be able to perform this function, the protein needs to bind its target with high affinity and specificity while immobilised on a sensor surface. It must also be stable under the operating conditions of the device. The aim of this project to build a new class of protein detection molecule for biosensor applications using a novel protein scaffold that has high potential for engineering. The project is a multidisciplinary collaboration between three academic research groups at the University of York (Plevin, Johnson and Agirre groups) and the biosensor company Eluceda (www.eluceda.com). You will use cutting-edge computational approaches to design protein scaffolds that bind their targets with appropriate specificity; produce candidate proteins and characterise them using different solution and surface-based assays; and evaluate promising candidates for use in commercial biosensors. You will receive a broad training across all disciplines of the project, including the latest approaches for computational protein design (e.g. AlphaFold2), techniques in structural biology, biophysics and surface-based methods for detecting molecular interactions, and the design of biosensors for commercial applications. You will also gain techno-commercial experience via secondments at Eluceda. This 4-year fully funded PhD project is ideally suited to someone interested in protein design and engineering who wants to design, build and test their ideas and see them applied to real world industrial applications.
许多生物传感器的核心是已设计用于结合靶分子的蛋白质。为了能够执行此功能,蛋白质需要在固定在传感器表面上的高亲和力和特异性时将其靶标结合。在设备的工作条件下,它也必须稳定。该项目的目的是使用具有高潜力的工程潜力的新型蛋白质支架来建立新的蛋白质检测分子,以用于生物传感器应用。该项目是约克大学(Plevin,Johnson和Agirre小组)的三个学术研究小组与BioSensor Company Eluceda(www.eluceda.com)之间的多学科合作。您将使用尖端的计算方法来设计蛋白质支架,以适当的特异性结合其靶标。生产候选蛋白质并使用不同的溶液和基于表面的测定法对其进行表征;并评估有前途的候选人用于商业生物传感器。您将在该项目的所有学科中获得广泛的培训,包括用于计算蛋白设计的最新方法(例如Alphafold2),结构生物学的技术,生物物理学和基于表面的分子相互作用方法以及用于商业应用的生物传感器设计。您还将通过Eluceda的借调获得技术商业经验。这个为期4年的全额资助的博士项目非常适合想要设计,建立和测试自己的想法并看到它们适用于现实世界工业应用的人。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据
数据更新时间:2024-06-01
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