Download full-text PDF |
Source |
---|
Mol Neurobiol
January 2025
Department of Molecular Pharmacology, Albert Einstein College of Medicine Forchheimer 209, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Epidemiological evidence has shown that the regular ingestion of vegetables and fruits is associated with reduced risk of developing chronic diseases. The introduction of the 3Rs (replacement, reduction, and refinement) principle into animal experiments has led to the use of valid, cost-effective, and efficient alternative and complementary invertebrate animal models which are simpler and lower in the phylogenetic hierarchy. Caenorhabditis elegans (C.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Pharmaceutical Chemistry, Semmelweis University, Hőgyes Endre U. 9, 1092, Budapest, Hungary.
Microtiter-plate-based systems are unified platforms of high-throughput experimentation (HTE). These polymeric devices are used worldwide on a daily basis-mainly in the pharmaceutical industry-for parallel syntheses, reaction optimization, various preclinical studies and high-throughput screening methods. Accordingly, laboratory automation today aims to handle these commercially available multiwell plates, making developments focused on their modifications a priority area of modern applied research.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
College of Pharmacy, Shaanxi University of Chinese Medicine, Shiji Ave., Xi'an-xianyang New Economic Zone, Shaanxi Province 712046, People's Republic of China. Electronic address:
Ophiopogonis japonicus is a famous medicinal plant in China with a long history of medicinal and food origin. It contains various chemical components, such as polysaccharides, steroidal saponins, alkaloids, flavonoids, etc. According to traditional Chinese medicine (TCM) theory, it has the efficacy of moistening the lungs and nourishing the yin, benefiting the stomach by generating fluids, and clearing the heart to get rid of vexation.
View Article and Find Full Text PDFMol Divers
January 2025
Key Laboratory for Macromolecular Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Molecular Property Prediction (MPP) is a fundamental task in important research fields such as chemistry, materials, biology, and medicine, where traditional computational chemistry methods based on quantum mechanics often consume substantial time and computing power. In recent years, machine learning has been increasingly used in computational chemistry, in which graph neural networks have shown good performance in molecular property prediction tasks, but they have some limitations in terms of generalizability, interpretability, and certainty. In order to address the above challenges, a Multiscale Molecular Structural Neural Network (MMSNet) is proposed in this paper, which obtains rich multiscale molecular representations through the information fusion between bonded and non-bonded "message passing" structures at the atomic scale and spatial feature information "encoder-decoder" structures at the molecular scale; a multi-level attention mechanism is introduced on the basis of theoretical analysis of molecular mechanics in order to enhance the model's interpretability; the prediction results of MMSNet are used as label values and clustered in the molecular library by the K-NN (K-Nearest Neighbors) algorithm to reverse match the spatial structure of the molecules, and the certainty of the model is quantified by comparing virtual screening results across different K-values.
View Article and Find Full Text PDFNat Prod Res
January 2025
College of Pharmacy, Guangxi Key Laboratory of Zhuang and Yao Ethnic Medicine, Guangxi University of Chinese Medicine, Nanning, China.
(L.) Jacq. has anti-inflammatory, analgesic, haemostatic and antioxidant effects, but its pharmacological components are still unclear.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!