“
“The TATA-box binding protein (TBP) belongs to a family of structural proteins involved in transcription in eukaryotic cells. TBP binds in the minor groove of DNA and recognizes specifically the consensus sequence: 5′ TATAWAWR 3′ (W=A or T). Recent reports show that the TATA-box is only present in 10% of all human polymerase 11 promoters. Therefore, TBP must bind frequently to low affinity DNA sequences, possibly with help of other transcription Selleckchem Milciclib factors. In order to understand the intramolecular and intermolecular interactions that lead to the consensus sequence preferred by TBP, we use high resolution crystallographic structures of cognate TBP-DNA complexes as templates onto

which 16 dinucleotide repeating sequence DNA oligomers were built. The binding free energy of each complex was calculated

using the Molecular Mechanics/Poisson-Boltzmann Solvent Accessible (MM-PBSA) approximation. Parsing of the free energy see more components allowed us to identify the most important contributions to sequence selectivity: DNA deformation and the interaction energy between TBP residues and DNA bases, as expected. Surprisingly, poor interaction energies lead to larger deformation costs, suggesting strategies to improve affinity and selectivity. Local analysis of the TBP-DNA interface allowed us to build interaction and deformation energy tables that were used, without the need to fit their relative weights, to predict successfully both the consensus sequence for T8P, and relative binding affinities for a collection of TATA box variants. Copyright (C) 2009 John Wiley & Sons, Ltd.”
“The post-genomic era is flooded with data from high-throughput techniques such as cDNA microarrays. In the field of systems biology the reconstruction of gene regulatory networks from gene expression data is one of the major problems in understanding complex cell functions. Drawing conclusions from microarray data requires sophisticated computational analyses that will explore causal genetic relations. In this paper we provide

a brief summary of some of the most recent and promising Fer-1 datasheet computational models and mathematical frameworks used to reconstruct, model and infer gene regulatory networks from data.”
“Background: Environmental surfaces play an important role in transmission of healthcare-associated pathogens. There is a need for new disinfection methods that are effective against Clostridium difficile spores, but also safe, rapid, and automated.\n\nMethods: The Tru-D (TM) Rapid Room Disinfection device is a mobile, fully-automated room decontamination technology that utilizes ultraviolet-C irradiation to kill pathogens. We examined the efficacy of environmental disinfection using the Tru-D device in the laboratory and in rooms of hospitalized patients. Cultures for C.