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The combination prediction of transmembrane regions based on Dempster-Shafer theory of evidence

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Journal of Electronics (China)

Abstract

Transmembrane proteins are some special and important proteins in cells. Because of their importance and specificity, the prediction of the transmembrane regions has very important theoretical and practical significance. At present, the prediction methods are mainly based on the physicochemical property and statistic analysis of amino acids. However, these methods are suitable for some environments but inapplicable for other environments. In this paper, the multi-sources information fusion theory has been introduced to predict the transmembrane regions. The proposed method is test on a data set of transmembrane proteins. The results show that the proposed method has the ability of predicting the transmembrane regions as a good performance and powerful tool.

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Authors and Affiliations

  1. School of Computer and Information Science, Southwest University, Chongqing, 400715, China

    Xinyang Deng & Yong Deng

  2. School of Electronics and Information Technology, Shanghai Jiaotong University, Shanghai, 200240, China

    Peida Xu & Yong Deng

Authors
  1. Xinyang Deng
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  2. Peida Xu
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  3. Yong Deng
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Corresponding author

Correspondence to Yong Deng.

Additional information

Supported by the National Natural Science Foundation of China (No. 60874105, 61174022), the Program for New Century Excellent Talents in University (No. NCET-08-0345), and the Chongqing Natural Science Foundation (No. CSCT, 2010BA2003).

Communication author: Deng Yong, born in 1975, male, Professor.

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Deng, X., Xu, P. & Deng, Y. The combination prediction of transmembrane regions based on Dempster-Shafer theory of evidence. J. Electron.(China) 29, 142–147 (2012). https://doi.org/10.1007/s11767-012-0797-8

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  • DOI: https://doi.org/10.1007/s11767-012-0797-8

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