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http://dx.doi.org/10.1038/nchem.1854 | DOI Listing |
BMC Mol Cell Biol
January 2025
Institute of Future Biophysics, Institutskiy per. 9, Dolgoprudny, Moscow Oblast, Moscow, Russia.
This paper describes a method for determining the cytotoxicity of chemical compounds based on the detection of fluorescent proteins-in this case, green fluorescent protein (GFP) and red fluorescent protein (RFP), which are released into the medium from dead cells. This method is similar in principle to the lactate dehydrogenase test (LDH test), but it does not require a reaction with a chromogenic substrate. This method also makes it possible to independently determine the viability of different lines when used in cocultures.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Food Science and Engineering, Moutai Institute, Renhuai, 564502, People's Republic of China.
Hawk tea has received increasing attention for its unique flavor and potential health benefits, with antioxidant function being one of its significant bioactivities. However, the metabolic profiles, potential antioxidant components, and action mechanisms of different types of hawk tea are still unclear. In this study, the chemical components of five hawk teas were determined using untargeted metabolomics.
View Article and Find Full Text PDFBiol Trace Elem Res
January 2025
Department of Biology, Faculty of Science, Arak University, Arak, 384817758, Iran.
Contamination of aquatic ecosystems with heavy metals poses a significant global issue due to its hazardous effects and persistent accumulation in living organisms. This study analyzed 51 fish samples from two species of Black Fish, Capoeta saadii and Capoeta trutta, collected from Iran's Khorramroud River during the summer and fall of 2022 to assess heavy metal accumulation in their gill, liver, and muscle tissues. After biometry, the studied tissues of each fish were isolated to measure the concentration of heavy metals (cadmium (Cd), zinc (Zn), chromium (Cr), lead (Pb), copper (Cu), and nickel (Ni)).
View Article and Find Full Text PDFNPJ Digit Med
January 2025
State Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
Accurately predicting binding affinities between drugs and targets is crucial for drug discovery but remains challenging due to the complexity of modeling interactions between small drug and large targets. This study proposes DMFF-DTA, a dual-modality neural network model integrates sequence and graph structure information from drugs and proteins for drug-target affinity prediction. The model introduces a binding site-focused graph construction approach to extract binding information, enabling more balanced and efficient modeling of drug-target interactions.
View Article and Find Full Text PDFNature
January 2025
State Key Laboratory for Cellular Stress Biology, School of Life Sciences, Xiamen University, Fujian, China.
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