Predicting the Subcellular Location of Apoptosis Proteins Based on Multi-features Fusion

摘要

Apoptosis proteins are crucial for regulating the balance between cell death and renewal. The biological functions of an apoptosis protein are closely related to its subcellular location in a cell. So, predicting the subcellular location of apoptosis proteins will help us understand the biological functions of the apoptosis proteins better. Several biological features, protein blocks composition, average chemical shifts composition, amino acid n-peptide composition information and the hydropathy distribution along protein sequence, were effectively applied to predict the subcellular location of apoptosis protein by using support vector machine (SVM) algorithm. The overall prediction accuracies of the jack knife tests based on the fused feature information is 80.2%, which is higher than another feature. The results show that the approach by multi-features fusion is pretty useful for predicting apoptosis protein's subcellular location.