Authors
Hilmi M Muda, Puteh Saad, Razib M Othman
Publication date
2011/8/1
Journal
Computers in biology and medicine
Volume
41
Issue
8
Pages
687-699
Publisher
Pergamon
Description
Remote protein homology detection and fold recognition refer to detection of structural homology in proteins where there are small or no similarities in the sequence. To detect protein structural classes from protein primary sequence information, homology-based methods have been developed, which can be divided to three types: discriminative classifiers, generative models for protein families and pairwise sequence comparisons. Support Vector Machines (SVM) and Neural Networks (NN) are two popular discriminative methods. Recent studies have shown that SVM has fast speed during training, more accurate and efficient compared to NN. We present a comprehensive method based on two-layer classifiers. The 1st layer is used to detect up to superfamily and family in SCOP hierarchy using optimized binary SVM classification rules. It used the kernel function known as the Bio-kernel, which incorporates the …
Total citations
201320142015201620172018201920202021202220232024266424112211