Fuzzy prediction of transmembrane protein topology

The prediction of the topology of transmembrane proteins is one of the open issues in bioinformatics. There are many methods proposed to predict transmembrane protein topology. However, these methods have some shortcomings to correctly predict on the boundary of the transmembrane region. In this paper, a new transmembrane prediction based on data fusion technology is proposed. The results of different prediction methods, represented as discrepant interval data, can be combined with induced ordered weighted averaging operator. The appropriate fuzzy interval can be determined. The transmembrane regions can be predicted by choosing the threshold. The real application in transmembrane prediction is used to show the efficiency of the proposed method.