Associate Professor of Biological Sciences
Associate Professor of Computer Science
Joined department: 2003
Education:
BS, Biochemistry
University of Tokyo (1994)
MS, Bioinformatics
Kyoto University (1996)
PhD, Bioinformatics
Kyoto University (1999)
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, evolution of protein families, pathways, and organisms.
Especially, he is focusing on developing computational methods to predict and analyze protein
structure/function, 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
David La & Daisuke Kihara, "A novel method for protein-protein interaction site prediction using
phylogenetic substitution models", Proteins, Structure, Function, and Bioinformatics, in
press, (2011).
Meghana Chitale, Shriphani Palakodety & Daisuke Kihara, "Quantification of protein group
coherence and pathway assignment using functional association.", BMC Bioinformatics, 12:
373, (2011).
Hao Chen & Daisuke Kihara, "Effect of using suboptimal alignments in template-based protein
structure prediction", Proteins, Structure, Function, and Bioinformatics, 79: 315-334.
(2011).
Research Funding
Daisuke Kihara, Template-Based Protein Structure Prediction Beyond Sequence Homology,
National Science Foundation, 7/1/2008-6/30/2013.
Daisuke Kihara and Karthik Ramani, Surface Shape Based Screening of Large Protein Databases
PHS-NIH NAT INST of General Medical Science, National Institutes of Health, 9/30/2005-8/31/2012.
Wojciech Szpankowski, Ananth Y. Grama, and Daisuke Kihara, Information Transfer in Biological
Systems, National Science Foundation, 7/1/2008-6/30/2012.
Last Updated: January 18, 2012 05:26pm
