Structural Classification of Protein Domain Using Gabor Filter and Radon-Legendre Moment
SHI Jian-Yu1,ZHANG Yan-Ning2
1.School of Life Sciences,Northwestern Polytechnical University,Xi′an 710072 2.School of Computer Science,Northwestern Polytechnical University,Xi′an 710072
Abstract：Representing structural classification as image classification,an effective method of structural classification of protein domain is proposed. Firstly,the spatial structure of protein domain is mapped to its distance matrix which is regarded further as gray texture image. As a result,the secondary structure elements (SSE) and the topology of domain are transformed to local geometric structures with variant scales,orientations and the local-structure-composed shape in such image respectively. Then,Gabor filters are designed to segment these local structures out and extract the percentage feature which represents the composition of SSE. After that,Radon-Legendre moment is presented to characterize the local-structure-composed shape and is used as feature of the shape. Finally,the composition feature and the moment feature are combined to perform structural domain classification. The experimental results show that the proposed method achieves effective classification of protein domain and outperforms other methods in both classification accuracy and robustness of sample count.
施建宇，张艳宁. 基于Gabor滤波和Radon-Legendre矩的蛋白质结构域分类[J]. 模式识别与人工智能, 2013, 26(1): 28-33.
SHI Jian-Yu,ZHANG Yan-Ning. Structural Classification of Protein Domain Using Gabor Filter and Radon-Legendre Moment. , 2013, 26(1): 28-33.
2013, Vol. 26 
