Can selenenyl sulfides be a substrate of glutathione reductase enzyme? A theoretical insight.

Glutathione reductase (GR) catalyzes the reduction of glutathione disulfide (GSSG) to glutathione. As selenium is a congener of sulfur, the possibility of reducing selenenyl sulfide (RSeSG) at the catalytic site of GR has been investigated using density functional theory. Calculations on the redox potential and the Se-S bond strength of some studied RSeSG compounds with a phenyl selenide backbone suggested that the unsubstituted and amine-based selenenyl sulfide intermediates could have a promising tendency to be reduced at the catalytic site of GR.

Investigation of second-order NLO properties of novel 1,3,4-oxadiazole derivatives: a DFT study.

Context: In this study, we have developed four new chromophores (TM1-TM4) and performed quantum chemical calculations to explore their nonlinear optical properties. Our focus was on understanding the impact of electron-donating substituents on 1,3,4-oxadiazole derivative chromophores. The natural bond orbital analysis confirmed the interactions between donors and acceptors as well as provided insights into intramolecular charge transfer.

Using Nutraceuticals to Help Manage Traumatic Spinal Cord Injury.

Traumatic spinal cord injury (TSCI) is a significant public health challenge that has an adverse impact on functional independence, quality of life, and life expectancy. Management of people's chronic conditions is a key aspect of contemporary medical practice. Our study was an open label, single arm, prospective pilot study to evaluate the feasibility of treating people with TSCI.

Naphthalenediimide-based nanoarchitectonics for a fluorescent chemosensor with highly selective and sensitive detection of cyanide ions.

A naphthalenediimide (NDI)-based highly potential chemosensor for the detection of cyanide has been synthesized successfully in several steps. The NDI-based probe displayed high selectivity and sensitivity towards cyanide ions in fluorescence 'turn-off' mode over other ions used in this study. The naked-eye, UV-vis absorbance and fluorescence methods are employed to investigate the sensing performance of probe 1 toward CN ion detection.

Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry.

Improved throughput of analysis and lowered limits of detection have allowed single-cell chemical analysis to go beyond the detection of a few molecules in such volume-limited samples, enabling researchers to characterize different functional states of individual cells. Image-guided single-cell mass spectrometry leverages optical and fluorescence microscopy in the high-throughput analysis of cellular and subcellular targets. In this work, we propose DATSIGMA (ta-driven ools for ingle-cell analysis using mage-uided ss spectrometry), a workflow based on data-driven and machine learning approaches for feature extraction and enhanced interpretability of complex single-cell mass spectrometry data.