ArticleInternational journal of molecular sciences2021
Target Characterization of Kaempferol against Myocardial Infarction Using Novel In Silico Docking and DARTS Prediction Strategy.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Bibliometric and visual analysis of global publications on kaempferol.Frontiers in nutrition · 2024Pooled it
- Kaempferol attenuates LPS-induced inflammatory responses in H9c2 cells through involvement of the IL-6/JAK2/STAT3 pathway.Molecular biology reports · 2026Article
- Jiawei Danxuan Koukang and Its Component Kaempferol Alleviate Oral Submucous Fibrosis by Restoring Epithelial-Fibroblast Homeostasis and Suppressing Neutrophil Recruitment via the ANXA1/FPR2 Axis.Food science & nutrition · 2026Article
- Self-Assembly of Rhein and Matrine Nanoparticles for Enhanced Wound Healing.Molecules (Basel, Switzerland) · 2024Article
- Editorial to Special Issue "Theme Issue Honoring Prof. Dr. Ludger Wessjohann's 60th Birthday: Natural Products in Modern Drug Discovery".International journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Target identification is a crucial process for advancing natural products and drug leads development, which is often the most challenging and time-consuming step. However, the putative biological targets of natural products obtained from traditional prediction studies are also informatively redundant. Thus, how to precisely identify the target of natural products is still one of the major challenges. Given the shortcomings of current target identification methodologies, herein, a novel in silico docking and DARTS prediction strategy was proposed. Concretely, the possible molecular weight was detected by DARTS method through examining the protected band in SDS-PAGE. Then, the potential targets were obtained from screening and identification through the PharmMapper Server and TargetHunter method. In addition, the candidate target Src was further validated by surface plasmon resonance assay, and the anti-apoptosis effects of kaempferol against myocardial infarction were further confirmed by in vitro and in vivo assays. Collectively, these results demonstrated that the integrated strategy could efficiently characterize the targets, which may shed a new light on target identification of natural products.
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Registered trials
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