Tran Ngoc Ha

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The Multiple Graph Alignment (MGA) is a new method to analyze the structure of biological molecules. This method allows detect functional similarities in the structure of biological systems. This article introduces an ant colony optimization algorithm combined with local search for optimal align multi-graph analysis of protein structures. Experiment results(More)
Global alignment of two protein-protein interaction networks is an essentially important task in bioinformatics/computational biology field of study. It is a challenging and widely studied research topic in recent years. Accurately aligned networks allow us to identify functional modules of proteins and/or orthologous proteins from which unknown functions(More)
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(More)
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