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Protein-protein interaction network alignment enables us to identify orthologous proteins, predict protein functions and build evolutionary relationships of species. This article introduces an algorithm for global alignment of protein-protein interaction network based on ant colony optimization (ACO) method. The experimental results offer outstanding advantages of the proposed algorithms.
Multiple graph alignment (MGA) is a new approach to analyze protein structure in order to exploring their functional similarity. In this article, we propose a two-stage memetic algorithm to solve the MGA problem, named ACO-MGA2, based on ant colony optimization metaheuristic. A local search procedure is applied only to the second stage of the algorithm to save runtime. Experimental results have shown...
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