Dual-domain superoxide dismutase: In silico prediction directed combinatorial mutation for enhanced robustness and catalytic efficiency.

The robustness and catalytic activity of superoxide dismutase (SOD) are still the main factors limiting their application in industrial fields. This study aims to further improve the properties of a natural thermophilic iron/manganese dual-domain SOD (Fe/Mn-SODA fused with N-terminal polypeptide) from Geobacillus thermodenitrificans NG80-2 (GtSOD) by modifying its each domain using in-depth in silico prediction analysis as well as protein engineering. First, computational analysis of the N-terminal domain and GtSODA domain was respectively performed by using homologous sequence alignment and virtual mutagenesis.

Rapid and sensitive detection of nucleic acids using an RAA-CRISPR/Cas12b one-pot detection assay (Rcod).

Rapid, sensitive and specific methods are crucial for nucleic acid detection. CRISPR/Cas12b has recently been widely used in nucleic acid detection. However, due to its thermophagic property, DNA isothermal recombinase-aided amplification (RAA) and subsequent CRISPR/Cas12b detection require two separate reactions, which is cumbersome and inconvenient and may cause aerosol pollution.

Functional structural domain synthesis of anti-pancreatic carcinoma pectin-like polysaccharide RN1.

The great structural and functional diversity supports polysaccharides as favorable candidates for new drug development. Previously we reported that a drug candidate pectin-like natural polysaccharide, RN1 might target galectin-3 (Gal-3) to impede pancreatic cancer cell growth in vivo. However, the quality control of polysaccharide-based drug research faces great challenges due to the heterogeneity.

An extraction-free method for rapid detection of CYP2C19 * 2/3/17 polymorphisms in one tube using melting curve analysis.

Drug-metabolizing enzymes play an important role in the metabolism of drugs in vivo. Their activity is an important factor affecting the rate of drug metabolism, which directly determines the intensity and persistence of drug action. Patients taking medication can be divided into different metabolic types through detection of CYP2C19 drug-metabolizing enzyme gene polymorphisms, which can then be used for medication guidance for clopidogrel.

Melatonin Regulates Lipid Metabolism in Porcine Cumulus-Oocyte Complexes via the Melatonin Receptor 2.

Previous studies suggest that the inclusion of melatonin (MTn) in in vitro maturation protocols improves the developmental competence of oocytes by scavenging reactive oxygen species (ROS). However, the molecular mechanisms integrating melatonin receptor (MT)-mediated lipid metabolism and redox signaling during in vitro cumulus-oocyte complex (COC) development still remain unclear. Here, we aimed to elucidate the potential role of MTn receptors in lipid metabolic adjustments during in vitro porcine COC development.

Multi-parameter optimization maximizes the performance of genetically engineered Geobacillus for degradation of high-concentration nitroalkanes in wastewater.

Nitroalkanes are important toxic pollutants for which there is no effective removal method at present. Although genetic engineering bacteria have been developed as a promising bioremediation strategy for years, their actual performance is far lower than expected. In this study, important factors affecting the application of engineered Geobacillus for nitroalkanes degradation were comprehensively optimized.

Bacterial diversity and competitors for degradation of hazardous oil refining waste under selective pressures of temperature and oxygen.

Oil refining waste (ORW) contains complex, hazardous, and refractory components, causing more severe long-term environmental pollution than petroleum. Here, ORW was used to simulate the accelerated domestication of bacteria from oily sludges and polymer-flooding wastewater, and the effects of key factors, oxygen and temperature, on the ORW degradation were evaluated. Bacterial communities acclimated respectively in 30/60 °C, aerobic/anaerobic conditions showed differentiated degradation rates of ORW, ranging from 5% to 34%.

Conformation-Controlled Hydrogen-Bond-Mediated Aglycone Delivery Method for α-Xylosylation.

α-Xylosylated glycans and xylosyl derivatives are biomedically important molecules which show numerous bioactivities against infection, cancer, inflammation, and so on. Lacking an efficient α-xylosylation method, the synthesis of α-xyloside-containing molecules was full of challenges. Herein, a robust method is presented for selective α-xylosylation via combination of a rare conformation-controlled strategy and the hydrogen-bond-mediated aglycone delivery method.

Parallel Coordinate Descent Newton Method for Efficient L -Regularized Loss Minimization.

The recent years have witnessed advances in parallel algorithms for large-scale optimization problems. Notwithstanding the demonstrated success, existing algorithms that parallelize over features are usually limited by divergence issues under high parallelism or require data preprocessing to alleviate these problems. In this paper, we propose a Parallel Coordinate Descent algorithm using approximate Newton steps (PCDN) that is guaranteed to converge globally without data preprocessing.

[Determination of six active ingredients in different parts of Belamcanda chinensis and Iris tectorum and their anti-inflammatory activity].

In order to explore the anti-inflammatory activity and active ingredient basis from the leaves of the Belamcanda chinensis and Iris tectorum, we established an HPLC method for simultaneous determination of six anti-inflammatory active ingredient contents in the root of the B. chinensis and I. tectorum as well as their leaves with different dry methods, and the anti-inflammatory effects of the extract were studied by the mouse ear swelling experiment.