Using Efficient RBF Networks to Classify Transport Proteins Based on PSSM Profiles and Biochemical Properties

摘要

Transport proteins are difficult to understand by biological experiments due to the difficulty in obtaining crystals suitable for X-ray diffraction. Therefore, the use of computational techniques is a powerful approach to annotate the function of proteins.rnIn this work, we propose a method based on PSSM profiles and other biochemical properties for classifying three major classes of transport proteins. Our method shows a 5-fold cross validation accuracy of 75.4% in a set of 1146 transport proteins with less than 20% mutual sequencernidentity.