SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, cilt.26, sa.3, ss.162-174, 2008 (ESCI)
As most of the known diseases exhibit dysfunctional aspects in the signal transduction networks, there has been a great deal of enthusiasm to identify novel drug targets based on the knowledge of key signal transduction components and their links to diseases. In the present study, a computational framework was recruited for the reconstruction of protein-protein interaction networks of specific signaling mechanisms in Baker's yeast. The objective was to analyze the interconnection between these signaling networks in order to identify the possible crosstalks between sphingolipid signaling and other signaling mechanisms. These networks are composed of the candidate proteins belonging to sphingolipid signaling, target of rapamycin (TOR) signaling, high osmolarity glycerol (HOG) signaling, pheromone response and calcium (Ca) mediated signaling in Saccharomyces cerevisiae. A detailed map including physical and functional connections that link the relevant signal transduction components to each other and to adjacent networks is developed. The proposed framework can effectively be used as a tool to give insight into the important and complicated network of signaling in higher eukaryotes.