Jinyan Li, Prof. and Ph.D.
University of Technology Sydney (UTS), Australia
地点：唐仲英楼B501室
时间：2019-06-13 16:00
I will give an introduction to the long-standing O-ring theory and a refined version called double water exclusion hypothesis for modelling protein binding sites. I also describe a tripartite model for computational implementation. This protein-water-protein tripartite model is novel as immobilized water molecules are teamed 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. Finally, I will briefly talk about our current work on live vaccine design of Influenza.
Dr. Jinyan Li is a Professor of Data Science and Program Leader of Bioinformatics at the Advanced Analytics Institute, Faculty of Engineering & IT, University of Technology Sydney, Australia. He has been actively working on data mining and bioinformatics for 20 years. He has published 220 papers, including 120 papers in the prestigious journals of data mining, machine learning, and computational biology. He is widely known for his pioneering research on the theories and algorithms of emerging patterns. One of these papers has received 1230 Google Scholar citations. Jinyan has a Bachelor degree of Science (Applied Mathematics) from National University of Defense Technology (China), a Master degree of Engineering (Computer Engineering) from Hebei University of Technology (China), and a PhD degree (Computer Science) from the University of Melbourne (Australia). More details of his research can be found at http://www.uts.edu.au/staff/jinyan.li