Daisuke Kihara
Professor of Biological Sciences
Professor of Computer Science
Joined department: 2003
Education
Dr. Kihara's research interest is in the area of bioinformatics. In the last decade, a large amount of biological data, such as genome/protein sequences, protein 3D structures, and pathway data have become available. This data now enables us to employ comprehensive analysis of relationship between protein sequence, structure and function, interactions, evolution of protein families, pathways, and organisms. Especially, he is focusing on developing computational methods to predict and analyze protein structure/function, protein-protein docking, pathway structure, and their applications in genome-scale or pathway/network scale. He has worked recently on protein structure prediction, protein global/local shape comparison, development of prediction method of transmembrane proteins, and its application to genome sequences.
Selected Publications
Abram Magner, Wojciech Szpankowski, & Daisuke Kihara, "On the origin of protein superfamilies and superfolds.", Scientific Reports, 5: 8166 (2015)
Yue Liu, Ju Sheng, Andrei Fokine, Geng, Meng, Woong-Hee Shin, Feng, Long, Richard J. Kuhn, Daisuke Kihara, & Michael G. Rossmann, "Structure and inhibition of EV-D68, a virus that causes respiratory illness in children.", Science, 347: 71-74 (2015)
Xiaolei Zhu, Yi Xiong, & Daisuke Kihara, "Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2.0.", Bioinformatics, 31: 707-713 (2015)