Protein subcellular localization prediction based on compartment-specific features and structure conservation

Motivation: Protein subcellular localization is crucial for genome annotation, protein function prediction, and drug discovery. However, since determining subcellular localization by experimental approaches is time-consuming, predicting localization via computational approaches is desirable. Results: We propose a prediction method for Gram-negative bacteria that adopts a one-versus-one support vector machines model, in which compartment-specific features are incorporated. The method

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Emily Chia-Yu Su, Hua-Sheng Chiu, Allan Lo, Jenn-Kang Hwang, Ting-Yi Sung, Wen-Lian Hsu
• Keywords: BMCBI 2007, Protein Function Prediction, Protein Subcellular Localization, Subcellular Localization