Tags and algorithms for studies of protein structures and interactions

用于研究蛋白质结构和相互作用的标签和算法

• 批准号: DP150100383
• 负责人: Prof Thomas Huber
• 金额: $ 33.34万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150100383
• 关键词: Tags; algorithms; studies; protein; structures

This project aims to develop a new set of tools to structurally characterise protein-protein and protein-ligand interactions that are difficult or impossible to analyse by other means, facilitate tracking of proteins in biological material and identify interaction partners. The project seeks to focus on the synthesis of new unnatural amino acids and tags for site-specific protein labelling, and a range of techniques for 3D structure analysis in solution, in particular NMR spectroscopy. New algorithms are expected to be developed for optimizing NMR spectroscopy and structure calculations from sparse data. The integrated set of tools is expected to deliver better and faster structure analysis and target characterisation to accelerate early stages of drug discovery.

该项目旨在开发一套新的工具，从结构上分析蛋白质-蛋白质和蛋白质-配体相互作用，这些相互作用很难或不可能通过其他手段进行分析，便于跟踪生物材料中的蛋白质，并确定相互作用伙伴。该项目旨在专注于合成新的非天然氨基酸和用于位点特异性蛋白质标记的标签，以及一系列用于溶液中3D结构分析的技术，特别是NMR光谱学。预计将开发新的算法，用于优化NMR光谱和结构计算稀疏数据。这套集成的工具有望提供更好、更快的结构分析和靶点表征，以加速药物发现的早期阶段。