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タイトル: A method of classification and recognition of blue copper protein
著者: Purqon, Acep
Sugiyama, Ayumu
Takamatsu, Yuichiro
Nagao, Hidemi link image link image
Nishikawa, Kiyoshi link image
長尾, 秀実
西川, 清
発行日: 2006年 5月
出版社(者): American Institute of Physics
引用: AIP Conference Proceedings 832(5),pp. 574-577
雑誌名: AIP Conference Proceedings
ISSN: 0094-243X
巻: 832
号: 5
開始ページ: 574
終了ページ: 577
キーワード: Artificial neural networks
Blue copper protein
抄録: Some proteins in blue copper proteins have similar properties. In some cases it is not easy to distinguish the proteins each other. The study to recognize and classify in blue copper proteins has important roles to recognize the difference of similar properties, for examples, structures and residue sequences in blue copper proteins. There are many methods being developed to predict protein structure from many approachs, which one still not satisfactory yet. Therefore it is a challenge for scientists to develop or improve their methods. One of promising method is artificial neural networks (ANN). ANN is learning machine methods consisted of input, hidden and output layer. ANN is tested to recognize secondary structure in blue copper protein. It is found that ANN can distinguish for 7-type of secondary structure and recognize 72% secondary structure in blue copper protein. © 2006 American Institute of Physics.
URI: http://hdl.handle.net/2297/3451
関連URI: http://dx.doi.org/10.1063/1.2204568
資料種別: Journal Article
版表示: publisher

このアイテムを引用あるいはリンクする場合は次の識別子を使用してください。 http://hdl.handle.net/2297/3451



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