We present a comprehensive mechanistic study on the highly tunable selectivity over In x /ZrO2 catalysts in CO2 hydrogenation. By variation of the indium loading between 0.1 and 5 wt %, either an admirable selectivity to methanol of 70–80% or up to 80% selectivity to CO could be obtained in the temperature range of 250–280 °C. It is shown that the shift in the product spectrum is related to the synergy between indium species and the zirconia substrate through variable interfacial structures. Zirconia-modulated crystalline In2O3, which prevails for indium loadings between 2.5 and 5 wt %, could enhance stepwise hydrogenation of *HCOO, leading to *H3CO and finally methanol due to the suitable bonding strengths of *HCOO and *H3CO. Regarding CO, evidence has been provided that the synergistic effect between adjacent indium and zirconia sites is indispensable for the entire catalytic cycle. *HCOO is formed at the indium–zirconia interfaces and decomposes to CO subsequently. Highly dispersed InO x dominating for loadings below 0.5 wt % features an enormous indium–zirconia interface and suppresses hydrogenation ability for *HCOO, thus favoring the generation of CO. The study provides fundamental insights into the mechanism of CO2 conversion and reaction pathway tuning over oxide catalytic systems.

Alanine racemases are ubiquitous, almost uniquely prokaryotic enzymes catalyzing the racemization between l- and d-alanine. The requirement for d-alanine as a necessary component of the bacterial cell wall makes this class of enzymes a logical target for the development of novel antibiotics. In an effort to better understand the structure and mechanism of these enzymes, we have cloned the two independent alanine racemases from Pseudomonas aeruginosa, an important opportunistic bacterial pathogen of humans and animals. The dadX(PA) and alr(PA) genes have been sequenced, overexpressed, and their activity was demonstrated by complementing d-alanine auxotrophs of Escherichia coli. Both gene products were purified to electrophoretic homogeneity, the enzymes were characterized biochemically, and preliminary crystals were obtained.

Exposure to environmental hazards has been associated with diseases in humans. The identification of single nucleotide polymorphisms (SNPs) in human populations exposed to different environmental hazards, is vital for detecting the genetic risks of some important human diseases. Several studies in this field have been conducted on glutathione S-transferases (GSTs), a phase II detoxification superfamily, to investigate its role in the occurrence of diseases. Human GSTs consist of cytosolic and microsomal superfamilies that are further divided into subfamilies. Based on scientific search engines and a review of the literature, we have found a large amount of published articles on human GST super- and subfamilies that have greatly assisted in our efforts to examine their role in health and disease. Because of its polymorphic variations in relation to environmental hazards such as air pollutants, cigarette smoke, pesticides, heavy metals, carcinogens, pharmaceutical drugs, and xenobiotics, GST is considered as a significant biomarker. This review examines the studies on gene-environment interactions related to various diseases with respect to single nucleotide polymorphisms (SNPs) found in the GST superfamily. Overall, it can be concluded that interactions between GST genes and environmental factors play an important role in human diseases.

We have developed a computational approach for the comparison and classification of RNA loop structures. Hairpin or interior loops identified in atomic resolution RNA structures were intercompared by conformational matching. The root-mean-square deviation (RMSD) values between all pairs of RNA fragments of interest, even if from different molecules, are calculated. Subsequently, cluster analysis is performed on the resulting matrix of RMSD distances using the unweighted pair group method with arithmetic mean (UPGMA). The cluster analysis objectively reveals groups of folds that resemble one another. To demonstrate the utility of the approach, a comprehensive analysis of all the terminal hairpin tetraloops that have been observed in 15 RNA structures that have been determined by X-ray crystallography was undertaken. The method found major clusters corresponding to the well-known GNRA and UNCG types. In addition, two tetraloops with the unusual primary sequence UMAC (M is A or C) were successfully assigned to the GNRA cluster. Larger loop structures were also examined and the clustering results confirmed the occurrence of variations of the GNRA and UNCG tetraloops in these loops and provided a systematic means for locating them. Nineteen examples of larger loops that closely resemble either the GNRA or UNCG tetraloop were found in the large ribosomal RNAs. When the clustering approach was extended to include all structures in the SCOR database, novel relationships were detected including one between the ANYA motif and a less common folding of the GAAA tetraloop sequence.