Next-generation Protein Structural comparison using Information Theory

使用信息论进行下一代蛋白质结构比较

• 批准号: DP150100894
• 负责人: A/Prof Arun Konagurthu
• 金额: $ 20.83万
• 依托单位: Monash 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: 2015-02-04 至 2019-09-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150100894
• 关键词: Next; generation; Protein; Structural; comparison

Progress in protein structural biology relies heavily on key computational technologies, structural alignment being an indispensable one. Despite its importance the structural alignment problem has not been formulated, much less solved, in a consistent and reliable way. This project aims to rectify this by combining novel information-theoretic inference with advances in constraint optimisation and visualisation. State-of-the-art alignment methods aim to be produced for biologists to generate statistically-rigorous and biologically-trustworthy alignments, and allow them to visualise structural relationships in unprecedented ways. This project is expected to provide direct payoffs to the fields of protein science, crystallography and bioinformatics.

蛋白质结构生物学的进步在很大程度上依赖于关键的计算技术，而结构比对是其中不可或缺的一项。尽管结构调整问题很重要，但它还没有以一致和可靠的方式制定出来，更不用说解决了。该项目旨在通过将新的信息论推理与约束优化和可视化方面的进步相结合来纠正这一点。最先进的比对方法旨在为生物学家产生统计上严格的和生物上值得信赖的比对，并允许他们以前所未有的方式可视化结构关系。该项目有望为蛋白质科学、结晶学和生物信息学领域提供直接回报。