Photo-physical characterizations and evaluation of in-vitro antioxidant, anti-inflammatory and antidiabetic potentials of green synthesized ackee (Blighia sapida) selenium nano-particles.

Background: Green synthesized nanoparticles have recently gained significant medicinal applications and oftentimes outperform their green sources. Selenium is of fundamental importance to human health, stemming from its distinctive physicochemical properties, such as antioxidant activity, inhibition of Lipid peroxidation, stabilization of membrane proteins, maintenance of membrane fluidity and modulation of cell signaling. Though reports have shown some therapeutic potential of Ackee plant parts such as antioxidant, anti-inflammatory, antimicrobial, neuroprotective, very few scientific proofs still exist in support of these effects.

Effects of n-hexane fraction of Piper guineense seed extract on N-nitro-L-arginine methyl ester hydrochloride-induced hypertension in rats.

This study aimed to investigate the effects of the n-hexane fraction of the ethanolic seed extract of PG (NFESEPG) on hypertension induced by Nω-nitro-L-arginine methyl ester (L-NAME) in rats. Specifically, the study examined the impact of NFESEPG on blood pressure, oxidative stress markers, NO concentration, angiotensin-converting enzyme (ACE) and arginase activities, and cardiac biomarkers in hypertensive rats. The study involved collecting, identifying, and processing the PG plant to obtain the ethanolic seed extract.

Ameliorative Potential of Hydroethanolic Leaf Extract of on d-Galactose-Induced Testicular Injury.

Background: There is an increasing need for botanicals to be used as an alternative and complementary medicine in the management of male infertility. Male infertility has been a major health/social challenge to people all over the world. This study, therefore, investigated the ameliorative potential of hydroethanolic leaf extract of (HELEPN) against d-galactose-induced testicular injury.

Dataset on investigation on triazole derivatives via molecular modelling approach: A potential glioblastoma inhibitors.

In this work, ten molecular compounds were optimised using density functional theory (DFT) method via Spartan 14. The obtained descriptors were used to develop quantitative structural activities relationship (QSAR) model using Gretl and Matlab software and the similarity between predicted IC and observed IC was investigated. Also, docking study revealed the non-bonding interactions between the studied compounds and the receptor.