Tetra­aqua(2,2′-bipyridine-κ2 N,N′)magnesium(II) bis­(4-bromo­benzoate)

In the complex cation of the title compound, [Mg(C10H8N2)(H2O)4](C7H4BrO2)2, the MgII atom is coordinated by two N atoms from a 2,2′-bipyridine ligand and four water O atoms in a distorted MgN2O4 octa­hedral geometry. The cation is located on a special position on a twofold rotation axis which passes through the MgII atom and the centroid of the 2,2′-bipyridine ligand. The 2,2′-bipyridine ligands exhibit nearly perfect coplanarity (r.m.s. deviation = 0.0035 Å) . In the crystal, O—H⋯O and C—H⋯O, C—H⋯Br hydrogen bonds and π–π stacking inter­actions [mean inter­planar distance of 3.475 (6) Å between adjacent 2,2′-bipyridine ligands] link the cations and anions into a three-dimensional supra­molecular network. One Br atom is disordered over two sites with occupancy factors of 0.55 and 0.45

Identifying a Transcription Factor’s Regulatory Targets from its Binding Targets

ChIP-chip data, which shows binding of transcription factors (TFs) to promoter regions in vivo, are widely used by biologists to identify the regulatory targets of TFs. However, the binding of a TF to a gene does not necessarily imply regulation. Thus, it is important to develop computational methods which can extract a TF’s regulatory targets from its binding targets. We developed a method, called REgulatory Targets Extraction Algorithm (RETEA), which uses partial correlation analysis on gene expression data to extract a TF’s regulatory targets from its binding targets inferred from ChIP-chip data. We applied RETEA to yeast cell cycle microarray data and identified the plausible regulatory targets of eleven known cell cycle TFs. We validated our predictions by checking the enrichments for cell cycle-regulated genes, common cellular processes and common molecular functions. Finally, we showed that RETEA performs better than three published methods (MA-Network, TRIA and Garten et al’s method)