In silico identification of potential transcriptional regulators associated with human MAPK signaling

In this study, a data-driven computational procedure was utilized in order to identify candidate transcription factors involved in the gene regulation network associated with mitogenactivated protein kinase (MAPK) signal transduction. Because the network reconstruction algorithm used for this study is relatively new, one purpose of the study was to apply it toward a real problem to gain insight as to its performance. The study resulted in identification of numerous candidate gene network interactions, and simultaneously provided clues regarding the quality of network reconstruction that can be expected from the algorithm at its current stage of development.