Synthesis, characterization, and enzyme inhibition evaluation of sitagliptin derivatives and their metal complexes.

Aims: This study focuses on the synthesis and characterization of novel sitagliptin derivatives, aiming to develop potent, orally active anti-diabetic agents with minimal side effects for the management of type 2 diabetes mellitus. Copper (II) (SCu1-SCu9) and zinc (II) (SZn1-SZn9) metal complexes of sitagliptin-based derivatives were synthesized via a template reaction.

Material & Method: The synthesized complexes were comprehensively characterized using elemental analysis, FTIR, UV-Vis, 1 h NMR, and 13C NMR spectroscopy.

Cutaneous Wound-Healing Activity of Quercetin-Functionalized Bimetallic Nanoparticles.

Quercetin, a natural flavonol, is reported to have significant antioxidant and anti-inflammatory activity, which further aids in its good wound-healing properties via acting on acute as well as chronic inflammatory phases. The current study is focused on understanding the potential of the green-synthesized iron and zinc oxide bimetallic (i.e.

Novel Dual Acetyl- and Butyrylcholinesterase Inhibitors Based on the Pyridyl-Pyridazine Moiety for the Potential Treatment of Alzheimer's Disease.

: Alzheimer's disease (AD) is characterized by cholinergic dysfunction, making the inhibition of acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) critical for improving cholinergic neurotransmission. However, the development of effective dual inhibitors remains challenging. : This study aims to synthesize and evaluate novel pyridazine-containing compounds as potential dual inhibitors of AChE and BuChE for AD treatment.

Permeation Flux Prediction of Vacuum Membrane Distillation Using Hybrid Machine Learning Techniques.

Vacuum membrane distillation (VMD) has attracted increasing interest for various applications besides seawater desalination. Experimental testing of membrane technologies such as VMD on a pilot or large scale can be laborious and costly. Machine learning techniques can be a valuable tool for predicting membrane performance on such scales.

In Vitro Evaluation and Bioinformatics Analysis of Schiff Bases Bearing Pyrazole Scaffold as Bioactive Agents: Antioxidant, Anti-Diabetic, Anti-Alzheimer, and Anti-Arthritic.

In continuation of our research programs for the discovery, production, and development of the pharmacological activities of molecules for various disease treatments, Schiff bases and pyrazole scaffold have a broad spectrum of activities in biological applications. In this context, this manuscript aims to evaluate and study Schiff base-pyrazole molecules as a new class of antioxidant (total antioxidant capacity, iron-reducing power, scavenging activity against DPPH, and ABTS radicals), anti-diabetic (α-amylase% inhibition), anti-Alzheimer's (acetylcholinesterase% inhibition), and anti-arthritic (protein denaturation% and proteinase enzyme% inhibitions) therapeutics. Therefore, the Schiff bases bearing pyrazole scaffold (, and , ) were designed and synthesized for evaluation of their antioxidant, anti-diabetic, anti-Alzheimer's, and anti-arthritic properties.