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Kenta Nakai / Professor / Division of Biosciences
Department of Medical Genome Sciences / / Computational analyses of genetic information encoded in genome DNA
http://www.hgc.jp/~knakai/

Career Summary
1986: Graduated/BSc (Faculty of Science, Kyoto University)
1989-1991: Research Associate (Kyoto University)
1992: PhD (Kyoto University)
1992-1995: Research Associate (National Institute for Basic Biology)
1995-1999: Associate Professor (Osaka University)
1999-2003: Associate Professor (University of Tokyo)
2003-present: Professor (University of Tokyo)
Educational Activities
Graduate School: Bioinformatics Basics for Biomedical Students
Graduate School of Information Science and Technology: Functional Genome Informatics Primer
Research Activities
Prediction of subcellular localization sites of proteins:
I am a pioneer of this research topic. Literature (1) has been cited more than 1000 times so far.
Sequence analyses of transcriptional regulatory regions:
As an example of this topic, we constructed a probabilistic model of muscle-specific promoters in ascidians. Several novel genes predicted using the model were experimentally verified by a collaborator (2).
Literature
1) Nakai and Kanehisa: A knowledge base for predicting protein localization sites in eukaryotic cells, Genomics 14, 897-911 (1992).
2) Vandenbon, Miyamoto, Takimoto, Kusakabe, and Nakai: Markov chain-based promoter structure modeling for tissue-specific expression pattern prediction, DNA Res., 15(1), 3-11 (2008).
Other Activities
Secretary/Board Member: Japanese Society for Bioinformatics (JSBi), Chem-Bio Informatics Society (CBI), Genomic Drug Discovery Forum
Member: Japanese Society of Molecular Biology, Society of Genome Microbiology, International Society of Computational Biology (ISCB)
Editorial Board Member: DNA Research (Oxford Univ. Press), Mathematical Biosciences (Elsevier), Journal of Biomedical Science and Engineering (Sci. Res. Pub.)
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Future Plan
We will continue our attempts to computationally interpret genetic information encoded in genome DNA sequences using various approaches.
Messages to Students
If you become my graduate student, I will do my best to ensure that you made the right choice.
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