Methods for Protein Subcellular Localization Prediction

Large-scale protein analysis and reliable annotations are particularly helpful for scholars in biology and medicine community. Understanding the functional characterizations of protein sequences has been a major challenge in recent years. Extensive computer based prediction systems have been developed to support the need since many proteins´ sub cellular localizations are still unknown. In this work, numerous protein description methods and three common classifiers are used in our experiments. These protein description methods are classified into two categories: protein composition based and position-specific scoring matrix based. A better prediction is achieved upon widely used data sets. Through these experiments, it is expected to give a comparison between protein description methods for protein sub cellular localization and their classification characteristics.