ArticleFrontiers in bioinformatics2026
Integrative transcriptomics and structure-based screening identifies
Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Molecular docking and dynamics simulation studies uncover the host-pathogen protein-protein interactions in soybean (Frontiers in bioinformatics · 2026Article
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Authors and funding
8 authors.
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Abstract
Introduction: Ovarian cancer is one of the most lethal gynecological malignancies, largely due to its asymptomatic onset, heterogeneous molecular landscape, and frequent late-stage diagnosis. Identifying key oncogenic drivers and novel therapeutic candidates is important for understanding disease progression and guiding future research efforts. Methods: An integrative computational pipeline was employed to identify differentially expressed genes prioritize a candidate target, and screen plant compounds for anticancer potential. Transcriptomic datasets (GSE14407, GSE18520, and GSE26712) were retrieved from Gene Expression Omnibus and analyzed using GEO2R. The three-dimensional structure of Results: A total of 103 consistently upregulated genes were identified, among which Discussion: This integrative
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Registered trials
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