Computational prediction of TF binding in mammalian genomes poses just such a challenge due to increased decoy sequence in large upstream regions (24) . Thus, having established increased robustness to DSs in yeast, we applied our approach to identify potentially unknown GABA A receptor subunit gene regulatory sequences that may participate in the response of the genome to seizure activity. We reasoned that GABA A receptor subunit genes either up-regulated or down-regulated in the animal model of epilepsy would share common binding motifs. Using positional clustering, we predicted 13 TF-binding sites upstream of GABA A receptor subunit genes ( Table 1) . Twelve of our predictions were verified by either comparison to known binding sites or experimental verification using in vitro binding assays. Initially positive experimental results highlight the ability of computational techniques to direct research into transcriptional regulation in mammalian models. As such, our approach may be applicable in the study of other protein complexes in the mammalian proteome.