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bevitor伟德官网学术活动
发布时间:2015-11-18     浏览量:   分享到:

活动名称:bevitor伟德官网学术活动

活动时间:9:00

讲座日期: 2015-11-18

讲座地点:长安校区 bevitor伟德官网学术报告厅 

主办单位:bevitor伟德官网 生物大数据计算团队

活动日程安排:

活动内容一:

讲座题目: Graph Theories and Algorithms for the Detection of Protein Binding Hotspots

讲座人:  Jinyan Li副教授

讲座时间:9:00-10:00

讲座内容简介:

I will give an introduction to the long-standing O-ring theory and a refined version called double water exclusion for modelling protein binding sites. The O-ring hypothesis stated that a binding hotspot is usually surrounded by a ring of residues which have insignificant contribution to the binding free energy. Our double water exclusion hypothesis states that the binding hotspot is the cluster of biclique residues that are not very much exposed to bulky water. In this talk, I also describe an extended version, called tripartite model, for the computational implementation of protein binding hotspots. This protein-water-protein tripartite model is novel as immobilized water molecules are included in this graph model. I will illustrate how this model is used to predict protein binding hotspots in binding interfaces, and why the mutation of the 2009 H1N1 virus did not cause a bigger pandemic disaster than the Spanish Flu pandemic in 1918.

讲座人简介:

Associate Professor Jinyan Li is the program leader of bioinformatics at the Advanced Analytics Institute of University of Technology Sydney. He has published 75 journal articles and 65 conference papers. Many of these papers are highly cited. He is known for his theoretical research work on emerging patterns that has produced numerous follow-up research interests in data mining, machine learning, and bioinformatics. Jinyan received his PhD in computer science from the University of Melbourne, his Master degree of engineering from Hebei University of Technology, and his bachelor degree in applied mathematics from the National University of Defence Technology, China.

活动内容二:

活动时间:10:30-11:30

内容简介:

悉尼科技大学 Advanced Analytics Institute and Center for Health Technologies 招收博士与访问学者情况介绍。