Drug Discovery in Canine Pyometra Disease Identified by Text Mining and Microarray Data Analysis.
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ABSTRACT: Canine pyometra, which is accompanied by bacterial contamination of the dog uterus, is defined as a complex disease associated with the activation of several systems, including the immune system. This study uses text mining and microarray data analysis methods to discover some existing targeted gene drugs and expand potential new drug indications. Text mining ("canine pyometra") and microarray data analysis (GSE99877) were used to obtain a common set of genes. These genes and protein-protein interaction (PPI) networks were analyzed using Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. Then, the important genes clustered in the PPI network were selected for gene-drug interaction analysis to provide evidence for potential drug discovery. Through text mining and data analysis,
SUBMITTER: Wang X
PROVIDER: S-EPMC10125737 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
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