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Biomedical subjects

Jihun Kim

Publications and source records attributed to Jihun Kim.

2 recordsLinked to original sources

Discovery of acridone analogs as novel entry inhibitors targeting e protein of dengue virus.

The envelope (E) protein of the Dengue virus (DENV) is critical for virion attachment and membrane fusion with the host cell, as well as the release of the viral RNA genome into the cytoplasm. In this study, we describe the design, synthesis, and biological evaluation of novel viral entry inhibitors containing an acridone core. Notably, compound 13e demonstrated potent cellular antiviral activity (IC50 = 8.6 μM and selectivity index = 21.4). Compound 13e was evaluated using several methods, including time-of-addition and virus entry/binding assays, which revealed that it selectively blocked DENV2 infection by inhibiting virion attachment. Furthermore, compound 13e exhibited potent antiviral efficacy, as evidenced by viremia quantification and histopathological analysis results, without causing significant body weight loss or other toxicities. Furthermore, target engagement assay supported the role of compound 13e as an E protein binder, consistent with its function as an entry inhibitor.

Dengue Virus↗

ArrayXPath II: mapping and visualizing microarray gene-expression data with biomedical ontologies and integrated biological pathway resources using Scalable Vector Graphics.

SUMMARY: ArrayXPath (http://www.snubi.org/software/ArrayXPath/) is a web-based service for mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics (SVG). Deciphering the crosstalk among pathways and integrating biomedical ontologies and knowledge bases may help biological interpretation of microarray data. ArrayXPath is empowered by integrating gene-pathway, disease-pathway, drug-pathway and pathway-pathway correlations with integrated Gene Ontology, Medical Subject Headings and OMIM Morbid Map-based annotations. We applied Fisher's exact test and relative risk to evaluate the statistical significance of the correlations. ArrayXPath produces Javascript-enabled SVGs for web-enabled interactive visualization of gene-expression profiles integrated with gene-pathway-disease interactions enriched by biomedical ontologies.

Cluster Analysis↗