Classification of Protein Structures by Making Fuzzy Rough Feature Selection
The understanding of protein structures is very important, because it is essential in development of new drugs for different diseases. One of the most important problems in this area, is solving the problem of classifying proteins. The literature offers numerous methods for protein classification. However, there is still need for fast and accurate methods that could be used for this purpose. In this paper, we introduce an approach for classifying protein structures. First, we extract feature vectors for the training protein structures. In this study, we use the protein ray based descriptor as a representative of the protein structure. For classification, we use several well known classification methods. Before applying the corresponding classifier, we also make feature selection by using fuzzy rough feature selection algorithm. We made experiments with and without feature selection, in order to show the benefit of making feature selection.
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)