2010年
An accurate prediction method for protein structural class from signal patterns of NMR spectra in the absence of chemical shift assignments
10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
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- 開始ページ
- 32
- 終了ページ
- 37
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/BIBE.2010.15
- 出版者・発行元
- IEEE Computer Society
The structural class information about a protein is important to understand its biological properties. NMR is one of the most powerful tools to obtain structural information of proteins in atomic resolution. However, an analysis of protein three-dimensional structure from NMR spectra usually requires laborious chemical shift assignment. We developed a new method for predicting the protein structural class directly from the NMR spectra without any chemical shift assignment. The results show that our method outperforms the methods using current secondary structure prediction. © 2010 IEEE.
- リンク情報
- ID情報
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- DOI : 10.1109/BIBE.2010.15
- DBLP ID : conf/bibe/AraiTKKY10
- SCOPUS ID : 77956141361