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NRGCNMDA: Microbe-Drug Association Prediction Based on Residual Graph Convolutional Networks and Conditional Random Fields.
Interdiscip Sci
January 2025
Computer and Control Engineering College, Qiqihar University, Qiqihar, 161006, China.
The process of discovering new drugs related to microbes through traditional biological methods is lengthy and costly. In response to these issues, a new computational model (NRGCNMDA) is proposed to predict microbe-drug associations. First, Node2vec is used to extract potential associations between microorganisms and drugs, and a heterogeneous network of microbes and drugs is constructed.
View Article and Find Full Text PDFElucidating the anticancer potential of dendrobine in renal cell carcinoma treatment.
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Urology, Tongren Hospital Shanghai Jiao Tong University School of Medicine, No.1111 Xian Xia Road, Shanghai, 200336, China.
Renal cell carcinoma (RCC) is the predominant form of kidney cancer. Despite the significant improvements in survival rates for advanced RCC patients due to targeted therapy and immunotherapy, challenges such as drug resistance and severe adverse reactions continue to hinder effective management. Therefore, there is an urgent need to identify new therapeutic agents for RCC.
View Article and Find Full Text PDFEnhancing chickpea yield through the application of sulfur and sulfur-oxidizing bacteria.
Sci Rep
January 2025
Institute of Crop Science, Faculty of Agricultural Sciences, University of Hohenheim, Stuttgart, Germany.
Plant growth-promoting microorganisms can enhance sulfur uptake and boost crop production. This study was conducted to evaluate the changes in physiology, metabolism, and yield of chickpeas following the application of sulfur and two microbial consortia: (1) Thiobacillus sp., Bacillus subtilis, Paraburkholderia fungorum, and Paenibacillus sp.
View Article and Find Full Text PDFWhat Gastroenterologists Should Know About Microplastics and Nanoplastics.
J Clin Gastroenterol
February 2025
Medicine, Advocate Lutheran General Hospital, Park Ridge.
Global production and widespread use of plastics are increasing dramatically. With current limited recycling and recovery options, microplastics and nanoplastics (MNPs) persist in the natural environment. Due to their ubiquity, human exposure to MNPs is inevitable.
View Article and Find Full Text PDFA genome-scale metabolic model for the denitrifying bacterium Thauera sp. MZ1T accurately predicts degradation of pollutants and production of polymers.
PLoS Comput Biol
January 2025
Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, California, United States of America.
The denitrifying bacterium Thauera sp. MZ1T, a common member of microbial communities in wastewater treatment facilities, can produce different compounds from a range of carbon (C) and nitrogen (N) sources under aerobic and anaerobic conditions. In these different conditions, Thauera modifies its metabolism to produce different compounds that influence the microbial community.
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