compound 2 (TargetMol)
Structured Review
Compound 2, supplied by TargetMol, used in various techniques. Bioz Stars score: 93/100, based on 4 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/compound+2/Compound+2/pm42413585-63-3-8
Average 93 stars, based on 4 article reviews
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other:Article Title: Identification of D4 as a novel antiviral compound inhibiting hepatitis B virus surface antigen via TMEM40 upregulation. Article Snippet: Chronic hepatitis B virus (HBV) infection poses a significant global public health challenge.. Current therapies rarely achieve a functional cure, defined as the clearance of hepatitis B surface antigen (HBsAg) and fulfillment of other criteria.. A critical unmet need is the development of agents that effectively suppress HBsAg production. Article Title: Discovery of UMI-77 as a novel Ku70/80 inhibitor sensitizing cancer cells to DNA damaging agents in vitro and in vivo. Article Snippet: The emergence of chemoresistance poses a significant challenge to the efficacy of DNA-damaging agents in cancer treatment, in part due to the inherent DNA repair capabilities of cancer cells.. The Ku70/80 protein complex (Ku) plays a central role in double-strand breaks (DSBs) repair through the classical non-homologous end joining (c-NHEJ) pathway, and has proven to be one of the most promising drug target for cancer treatment when combined with radiotherapy or chemotherapy.. In this study, we conducted a high-throughput screening of small-molecule inhibitors targeting the Ku complex by using a fluorescence polarization-based DNA binding assay. Article Title: TarIKGC: A Target Identification Tool Using Semantics-Enhanced Knowledge Graph Completion with Application to CDK2 Inhibitor Discovery. Article Snippet: Target identification is a critical stage in the drug discovery pipeline.. Various computational methodologies have been dedicated to enhancing the classification performance of compound− target interactions, yet significant room remains for improving the recommendation performance.. To address this challenge, we developed TarIKGC, a tool for target prioritization that leverages semantics enhanced knowledge graph (KG) completion. |

