Spectral reconstruction of protein contact networks

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• 作者：Enrico Maiorino<sup>asup><sup> ; sup><sup>enrico.maiorino@uniroma1.itsup> ; Antonello Rizzi<sup>asup><sup> ; sup><sup>antonello.rizzi@uniroma1.itsup> ; Alireza Sadeghian<sup>bsup><sup> ; sup><sup>asadeghi@ryerson.casup> ; Alessandro Giuliani<sup>csup><sup> ; sup><sup>alessandro.giuliani@iss.itsup>
• 关键词：Protein contact network ; Graph laplacian ; Graph spectra ; Random matrix theory ; Genetic algorithm
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：471
• 期：Complete
• 页码：804-817
• 全文大小：1076 K
• 卷排序：471

文摘

Protein contact networks (PCN) have a characteristic Laplacian spectral density. We defined a procedure to generate networks with the same spectral density. The new networks (LMGRS-GEN) are topologically similar to PCN. Short-range eigenvalues correlations of LMGRS-GEN are compatible with PCN.