Identifying the Hub Proteins of Co-Regulation Networks Based on Multi-Agent Based Method

The information of hub proteins can provide very useful insights for selecting or prioritizing targets during drug development. In this paper, we propose a multi-agent system based network hub-protein-simulatorto identifying the transcription factors from co-regulation networks by the multi-agent based method combined with the graphical spectrum analysis and immune-genetic algorithm. Meanwhile, along with the identified hub transcription factors, their biological processes, and pathway analysis were also explored. It is anticipated that the hubproteinsimulator could become a very useful tool for system biology and drug development, particularly in deciphering unknown protein functions, determining protein complexes, and in identifying the key targets from a complicated disease system.

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