A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic analysis

摘要

BackgroundProtein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) are the most effective and accurate methods for solving these problems. A key step to improve the performance of the SVM-based methods is to find a suitable representation of protein sequences.