We have developed mechanistic models of transcriptional regulatory network function that explain gene regulation in terms of specific transcription factor binding events, regulatory motifs, and chromatin structure. We predict gene expression based on where protein-DNA genome regulatory interactions and marks occur. This new approach to modeling is based upon 200bp-resolution tiled microarray data in yeast that describe transcription factor binding, RNA Polymerase II binding, and histone density and state.