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 내용
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일시: 2013. 6. 24.(월) 11:00
연사: Daisuke Kihara 교수 (Purdue University)
장소: 25동 411호
Title: Predicting Gene Functions in Biological Contexts
Abstract:
Conventional protein function prediction methods, sequence database search methods and motif searches, analyze single gene function at a time. These methods have made numerous successful predictions and have been routinely used in biological studies, for example, in genome annotations. However, function of a gene is determined not only by the gene itself; but also by the other genes in the same pathways or by the cellular environment where the gene appear.
To understand function of genes in a systems level, a novel framework needs to be established for function prediction that can take biological systems as a whole. Here, we present our recent results toward the systems level gene function prediction. We first present our developed novel function similarity scores, which are aimed to identify functionally coherent groups of proteins working in co-ordination.
Next, we present our ongoing work on systems level gene function prediction, which consider gene expressions and other information of neighboring genes in a pathway. Last, we will discuss moonlighting proteins, which exhibit distinct functions depending on the cellular environment.
Bio:
Daisuke Kihara is associate professor of Department of Biological Sciences and Department of Computer Science at Purdue University, West Lafayette, Indiana, USA. He received his Ph.D. degree from Kyoto University, Japan in 1999. He was postdoc researcher with Prof. Jeffrey Skolnick from 1999 to 2003. He joined Purdue University asassistant professor in 2003 and promoted to associate professor in 2009. His research projects include protein docking, protein tertiary structure prediction, structure- and sequence-based protein function prediction, and computational drug design. He has published over 85 research papers and book chapters. His research projects are supported by fundings from the National Institutes of Health, the National Science Foundation, Eli Lilly, and Korean Research Foundation. In 2013, he was named University Faculty Scholar by Purdue University. His lab website is at http://kiharalab.org.
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