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Adenocarpine, Marmesin, and Lycocernuine from Ficus benjamina as Promising Inhibitors of Aldose Reductase in Diabetes: A Bioinformatics-Guided Approach.
Appl Biochem Biotechnol
January 2025
Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Diabetes affects approximately 422 million people worldwide, leading to 1.5 million deaths annually and causing severe complications such as kidney failure, neuropathy, and cardiovascular disease. Aldose reductase (AR), a key enzyme in the polyol pathway, is an important therapeutic target for managing these complications.
View Article and Find Full Text PDFThe efficacy and safety of tyrosine kinase inhibitors in the treatment of advanced or metastatic chordoma: a single-arm meta-analysis.
Neurosurg Rev
January 2025
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45# Changchun Street, Xicheng District, Beijing, China.
Chordoma is a rare malignant tumor with a higher incidence in males than in females. There is an increasing number of clinical studies related to tyrosine kinase inhibitors (TKIs), yet the efficacy and safety of different drugs vary. In this single-arm meta-analysis evaluating the efficacy and safety of TKIs for chordoma treatment, 12 studies involving 365 patients were analyzed.
View Article and Find Full Text PDFKinetics Difference-driven Organophosphorus Hydrolase-like Nanozyme-Coded Pattern for Identifying -Nitrophenyl Pesticides.
Anal Chem
January 2025
School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, P. R. China.
Organophosphorus pesticides (OPs) are widely used in agricultural production, posing a great threat to human health and the environment. Given that different OPs present different toxicology and toxicities, identifying individual pesticide residues becomes important for assessing food safety and environmental implications. In this work, a kinetics difference-driven analyte hydrolysis strategy is proposed for the first time and validated to identify -nitrophenyl pesticides by developing an organophosphorus hydrolase-like nanozyme-coded sensor array.
View Article and Find Full Text PDFComparative Analysis of Recurrent Neural Networks with Conjoint Fingerprints for Skin Corrosion Prediction.
J Chem Inf Model
January 2025
Division of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
Skin corrosion assessment is an essential toxicity end point that addresses safety concerns for topical dosage forms and cosmetic products. Previously, skin corrosion assessments required animal testing; however, differences in skin architecture and ethical concerns regarding animal models have fostered the advancement of alternative methods such as and models. This study aimed to develop deep learning (DL) models based on recurrent neural networks (RNNs) for classifying skin corrosion of chemical compounds based on chemical language notation, molecular substructure, physicochemical properties, and a combination of these three properties called conjoint fingerprints.
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