Journal
BIOMED RESEARCH INTERNATIONAL
Volume 2014, Issue -, Pages -Publisher
HINDAWI LTD
DOI: 10.1155/2014/935719
Keywords
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Funding
- National Nature Scientific Foundation of China [61100092, 61202256]
- Nature Scientific Foundation of Hebei Province [C2013209105]
- Foundation of Science and Technology Department of Hebei Province [132777133]
- Fundamental Research Funds for the Central Universities [ZYGX2013J102]
- National Nature Scientific Foundation of China [61100092, 61202256]
- Nature Scientific Foundation of Hebei Province [C2013209105]
- Foundation of Science and Technology Department of Hebei Province [132777133]
- Fundamental Research Funds for the Central Universities [ZYGX2013J102]
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J-proteins are molecular chaperones and present in a wide variety of organisms from prokaryote to eukaryote. Based on their domain organizations, J-proteins can be classified into 4 types, that is, Type I, Type II, Type III, and Type IV. Different types of J-proteins play distinct roles in influencing cancer properties and cell death. Thus, reliably annotating the types of J-proteins is essential to better understand their molecular functions. In the present work, a support vector machine based method was developed to identify the types of J-proteins using the tripeptide composition of reduced amino acid alphabet. In the jackknife cross-validation, the maximum overall accuracy of 94% was achieved on a stringent benchmark dataset. We also analyzed the amino acid compositions by using analysis of variance and found the distinct distributions of amino acids in each family of the J-proteins. To enhance the value of the practical applications of the proposed model, an online web server was developed and can be freely accessed.
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