Abstract :
The mammalian target of rapamycin (mTOR) regulates cell growth, cell proliferation, and other numerous cellular processes, and thus has been an attractive target for pharmic and therapeutic study. We study the mTOR regulator from a network perspective in the present paper. We first construct a complex network model for the mTOR regulator from published resource. Then, we study the most important network properties of the model. At last, the emphasis has been focused on the centers of the mTOR network, by using 10 centrality measures (bargaining, centroid value, closeness, degree, eigenvector, HITS-authorities, katz status index, Page Rank, radiality and shortest path between ness centralities), we identify 15 biologically functional central proteins in the network.
Keywords :
biology; network theory (graphs); proteins; biologically functional central proteins; cell growth; cell proliferation; centrality measures; mTOR network; mTOR regulator; mammalian target of rapamycin; network analysis; pharmic study; therapeutic study; Biological system modeling; Complex networks; Computational modeling; Mathematical model; Proteins; Regulators; biological networks; centrality; complex networks; systems biology;
