关键词: 蛋白质比较, 高维数字表达, 向量序列的傅里叶变换, 交叉谱函数, 信噪比, 高维共鸣识别

Abstract: Based on the ideas of suggested vector representation for symbolic sequence and its Fourier transform, the resonance recognition model of higher dimension is presented for protein comparison in this paper. The amino acid sequences, two kinds of protein corresponding to, are numerically encoded, the Fourier transforms of them are computed respectively. So, it can obtain the cross-spectral function for the proteins based on the results of Fourier transform. Using the concept of signal-to-noise ratio, the similarity or difference of the two proteins can be distinguished. Computational results show that the novel method is efficient for protein comparison and it is the extension of Cosic’s resonance recognition model.

Key words: protein comparison, numerical representation of higher dimension, Fourier transform of vector sequence, cross-spectral function, signal to noise ratio, resonance recognition model of higher dimension