Pakistan journal of biological sciences : PJBS
30724050
BACKGROUND AND OBJECTIVE: Zerumbone has been reported to exert anti-inflammatory, anti-ulcer and anti-hyperglycemic effects but the specific mechanism through which zerumbone exerts its anti-inflammatory action through inhibiting reactive oxygen spec...
Journal of pharmaceutical and biomedical analysis
30639931
In vitro incubation of rat liver microsomes with 30 μL of 100 μmol·L dapoxetine and 30 μL of 10, 100, 250, 500, 1000, 2500, or 5000 μg·mL Wuziyanzong pill was performed at 37 °C for 60 min. Dapoxetine concentration was analyzed by high performance li...
INTRODUCTION: Keloids characterized by fibroblast hyperproliferation and depositions of collagen which similar to cancer cells. Tagitinin C is a class of sesquiterpene lactones (SLS) was isolated from the leaves of the moon flower (Hemsley) A. Gray....
Food research international (Ottawa, Ont.)
29433189
The Chilean white strawberry (Fragaria chiloensis spp. chiloensis f. chiloensis) is a semi-domesticated strawberry with high polyphenol content and antioxidant activity occurring in southern Chile. The aim of this work was to compare the composition ...
Oxidative stress plays a key role in pathophysiology of brain ischemia. This study aimed to test whether B. serrata hydroalcoholic extract (BSE) and its active constituent 3-acetyl-1 1-keto-β-boswellic acid (AKBA) could protect neurons against ischem...
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
29288758
Ficus exasperata Vahl, commonly known as sandpaper, is a terrestrial Afro-tropical tree used in popular medicine. Despite the existence of some works on the biological activities of this species, its chemical composition is still poorly known. The ai...
Deleterious variants in dihydropyrimidine dehydrogenase (DPD, DPYD gene) can be highly predictive of clinical toxicity to the widely prescribed chemotherapeutic 5-fluorouracil (5-FU). However, there are very limited data pertaining to the functional ...
CONTEXT: Chemical toxicity prediction at early stage drug discovery phase has been researched for years, and newest methods are always investigated. Research data comprising chemical physicochemical properties, toxicity, assay, and activity details c...
We present two approaches for the computation of hydrogen bond acceptor strengths, one by machine-learning and one by a composite quantum-mechanical protocol, both based on the well-established pK scale and dataset. The QM calculations after a necess...
Data mining methods based on machine learning play an increasingly important role in drug design and discovery. In the current work, eight machine learning methods including decision trees, k-Nearest neighbor, support vector machines, random forests,...