ArticleCurrent pharmaceutical design2024
Deciphering Multi-target Pharmacological Mechanism of
Article in Current pharmaceutical design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Characterization of rutin bindingto HRAS and MAPK3 and its clinical prognostic relevancein lung cancer: Using in silico and clinical prognostic experimental design.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Salidroside attenuates calcium oxalate-induced renal injury via suppression of PANoptosis.Urolithiasis · 2026Article
- Exploring Nigella Sativa's medicinal capacity against skin cancer pathways using network pharmacology and molecular docking.Scientific reports · 2025Article
- Network Pharmacology Study on the Mechanisms ofApplied bionics and biomechanics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundUrolithiasis is a prevalent condition with significant morbidity and economic implications. The economic burden associated with urolithiasis primarily stems from medical expenses. Previous literature suggests that herbal plants, including
objectiveIn this research, we employed network pharmacology and molecular docking to examine the active compounds and biological mechanisms of
methodsActive constituents were obtained from previous studies and the IMPPAT database, with their targets predicted using Swiss target prediction. Kidney stone-associated genes were collected from DisGeNET and GeneCards. The active constituent-target-pathway network was constructed using Cytoscape, and the target protein-protein interaction network was generated using the STRING database. Gene enrichment analysis of
resultsThe findings revealed that
conclusionThese findings provide insight into the anti-kidney stone effects of
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.