Abstract:
: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.
journal_name
Biomed Res Intjournal_title
BioMed research internationalauthors
Feng P,Lin H,Chen W,Zuo Ydoi
10.1155/2014/935719subject
Has Abstractpub_date
2014-01-01 00:00:00pages
935719eissn
2314-6133issn
2314-6141journal_volume
2014pub_type
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pub_type: 临床试验,杂志文章
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