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Research paper : A bioinformatics strategy to produce a cyclically developing project structure (M. Suwa et al.)−10−Synthesiology - English edition Vol.3 No.1 (2010) bond, and this is also reviewed in international literature[18].As described in chapter 4, various joint researches by collaboration among industry, academia, and government were conducted under cyclic development, and yielded important results. Although this was inconceivable initially, I am surprised that the research developed extremely efficiently in retrospect. At the beginning of the Project, there were mainly joint researches with companies, but joint researches with academia increased in the past 3 years. This shows that the users of SEVENS are increasing and covering wider areas. It is a joy to hear from many experimental researchers of pharmaceutical companies and universities that I meet for the first time at scientific conferences that they use SEVENS or GRIFFIN and that it is very useful in analyzing new genes. Looking back, the initial objectives were achieved to some degree, and I shall give a self-evaluation as being satisfactory. The SEVENS project will continue to develop in the future. Based on the functional data accumulated over a long time, we wish to produce results that lead to the clarification of high-order biological phenomena in which GPCR is involved through advanced collaboration with experimental researchers. Acknowledgements This Project is a joint research with many people. Yutaka Akiyama (Tokyo Institute of Technology; former Director of CBRC), Kiyoshi Asai (The University of Tokyo; Director of CBRC), Masanori Arita (The University of Tokyo), Professor Hiroyuki Aburatani (The University of Tokyo), Tomoyuki Sato (Mizuho Information and Research Institute), and Ikuo Ohkochi (Mizuho Information and Research Institute) helped us incorporate the GPCR gene identification technology. Takatsugu Hirokawa (research team leader, CBRC) and Yukimitsu Yabuki (Information and Mathematical Science Laboratory, Inc.) helped us with the development of GRIFFIN. Wataru Fujibuchi (research team leader, CBRC), Tatsuya Nishizawa (Information and Mathematical Science Laboratory, Inc.), and the students of Nara Institute of Science and Technology helped us in the comparative genome analysis for GPCR. We are truly grateful to the above-mentioned collaborators. E. S. Lander et al.: International Human Genome Sequencing Consortium. Initial sequencing and analysis of the human genome, Nature, 409, 860-921 (2001). A. Shenker: G protein-coupled receptor structure and function: The impact of disease-causing mutations, Baillieres Clin. Endocrinol Metab., 9, 427-451 (1995). O. Gotoh: Homology-based gene structure prediction: Simplified matching algorithm using a translated codon, (tron) and improved accuracy by allowing for long gaps, Bioinformatics, 16, 190-202 (2000). http://genedecoder.cbrc.jp/ http://hmmer.janelia.org/ T. Hirokawa, S. Boon-Chieng and S. Mitaku: SOSUI, Classification and secondary structure prediction system for membrane proteins, Bioinformatics, 14, 378-379 (1998). M. Suwa, T. Sato, I. Okouchi, T. Kumagai, M. Arita, K. Asai, Y. Akiyama, S. Matsumoto, S. Tsutsumi and H. Aburatani: SEVENS, Nucleic Acids Research, 31, Online summary paper (http:// www3.oup.co.uk/nar/ database/summary 373), (2003). Y. Terashima, N. Onai, M. Enomoto, V. Poonpiriya, T. Hamada, K. Motomura, M. Suwa, T. Ezaki, T. Haga, S. Kanagasaki and K. Matsushima: Pivotal function for cytoplasmic protein FROUNT in CCR2-mediated monocyte chemotaxis, Nature Immunology, 6, 827-835 (2005). T. Muramatsu and M. Suwa: Statistical analysis and prediction of functional residues effective for GPCR-G-protein coupling selectivity, PROTEIN Engineering Design & Selection, 19, 277-283 (2006). Y. Yabuki, T. Muramatsu, T. Hirokawa, H. Mukai and M. Suwa: GRIFFIN, a system for predicting GPCR-G-protein coupling selectivity using a support vector machine and a hidden Markov model, Nucleic Acid Research, 33, W148-W153 (2005). Y. Ono, W. Fujibuchi and M. Suwa: Automatic gene collection system for genome-scale overview of G-protein coupled receptors in eukaryotes, Gene, 364, 63-73 (2005). Q. Xia et al.: Silkworm genome consortium, The genome of a lepidopteran model insect, the silkworm Bombyx mori, Insect Biochemistry and Molecular Biology, 38, 1036-1045 (2008). K. Tanaka, Y. Uda, Y. Ono, T. Nakagawa, M. Suwa, R. Yamaoka and K. Touhara: Highly selective tuning of a silkworm olfactory receptor to a key mulberry leaf volatile, Curr. Biol., 19, 881- 890 (2009). M. A. Hanson and R. C. Stevens: Discovery of new GPCR biology, one receptor structure at a time, Structure, 17, 8-14 (2009). D. T. Lodowski, T. E. Angel and K. Palczewski: Comparative analysis of GPCR crystal structures, Photochem Photobiol., 85425-85430 (2009). L. X. Yao, Z. C. Wu, Z. L. Ji, Y. Z. Chen and X. Chen: Internet resources related to drug action and human response: A review, Applied Bioinformatics, 5, 131-139 (2006). L. J. Zhi, L. Z. Sun, X. Chen, C. J. Zheng, L. X. Yao, L. Y. Han, Z. W. Cao, J. F. Wang, W. K. Yeo, C. Z. Cai and Y. Z. Chen: Internet resources for proteins associated with drug therapeutic effects, adverse reactions and ADME, Drug Discovery Today, 8, 526-529 (2003). A. 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