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Title: A three-phase method for identifying functionally related protein groups in weighted PPI networks. Author: Grbić M, Matić D, Kartelj A, Vračević S, Filipović V. Journal: Comput Biol Chem; 2020 Jun; 86():107246. PubMed ID: 32339914. Abstract: Identifying significant protein groups is of great importance for further understanding protein functions. This paper introduces a novel three-phase heuristic method for identifying such groups in weighted PPI networks. In the first phase a variable neighborhood search (VNS) algorithm is applied on a weighted PPI network, in order to support protein complexes by adding a minimum number of new PPIs. In the second phase proteins from different complexes are merged into larger protein groups. In the third phase these groups are expanded by a number of 2-level neighbor proteins, favoring proteins that have higher average gene co-expression with the base group proteins. Experimental results show that: (i) the proposed VNS algorithm outperforms the existing approach described in literature and (ii) the above-mentioned three-phase method identifies protein groups with very high statistical significance.[Abstract] [Full Text] [Related] [New Search]