Esub8: A novel tool to predict protein subcellular localizations in eukaryotic organisms

Background: Subcellular localization of a new protein sequence is very important and fruitful for understanding its function. As the number of new genomes has dramatically increased over recent years, a reliable and efficient system to predict protein subcellular location is urgently needed. Results: Esub8 was developed to predict protein subcellular localizations for eukaryotic proteins based on amino acid composition. In this research, the proteins are classified into the following eight groups: chloroplast, cytoplasm, extracellular, Golgi apparatus, lysosome, mitochondria, nucleus and peroxisome. We know subcellular localization is a typical classification problem; consequently, a one-against-one (1-v-1) multi-class support vector machine was introduced to construct the classifier. Unlike previous methods, ours considers the order information of protein sequences by a different method. Our method is tested in three subcellular localization predictions for prokaryotic proteins and f...

• Type: Journal
• Year: 2004
• Where: BMCBI
• Authors: Qinghua Cui, Tianzi Jiang, Bing Liu, Songde Ma
• Keywords: BMCBI 2004, Protein, Protein Subcellular Localizations, Subcellular Localization