title: Predicting subcellular location of apoptosis proteins based on wavelet transform and support vector machine.
abstract: Apoptosis proteins have a central role in the development and homeostasis of an organism. These proteins are very important for understanding the mechanism of programmed cell death. As a result of genome and other sequencing projects, the gap between the number of known apoptosis protein sequences and the number of known apoptosis protein structures is widening rapidly. Because of this extremely unbalanced state, it would be worthwhile to develop a fast and reliable method to identify their subcellular locations so as to gain better insight into their biological functions. In view of this, a new method, in which the support vector machine combines with discrete wavelet transform, has been developed to predict the subcellular location of apoptosis proteins. The results obtained by the jackknife test were quite promising, and indicated that the proposed method can remarkably improve the prediction accuracy of subcellular locations, and might also become a useful high-throughput tool in characterizing other attributes of proteins, such as enzyme class, membrane protein type, and nuclear receptor subfamily according to their sequences.
authors: Department of Chemistry, Nanchang University, 330031, Nanchang, People's Republic of China. jdqiu@ncu.edu.cn
authors: Jian-Ding
authors: JD
authors: Qiu
authors: San-Hua
authors: SH
authors: Luo
authors: Jian-Hua
authors: JH
authors: Huang
authors: Xing-Yu
authors: XY
authors: Sun
authors: Ru-Ping
authors: RP
authors: Liang
mesh_terms: D000595:Amino Acid Sequence; D000596:Amino Acids / Q000737:chemistry; D000818:Animals; D051017:Apoptosis Regulatory Proteins / Q000737:chemistry* / Q000145:classification / Q000378:metabolism*; D001185:Artificial Intelligence; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D005103:Expert Systems; D057166:High-Throughput Screening Assays; D006801:Humans; D057927:Hydrophobic and Hydrophilic Interactions; D008954:Models, Biological; D021381:Protein Transport; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software; D013347:Subcellular Fractions / Q000378:metabolism
chemical_list: D000596:Amino Acids; D051017:Apoptosis Regulatory Proteins