ReviewPhytochemistry2015
Accessing biological actions of Ganoderma secondary metabolites by in silico profiling.
Review in Phytochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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Who cites it
10 citing papers in PubMed, 41 citations in OpenAlex.
- Ganoderic acid D as a potential modulator of steroidogenic enzymes: Protective effects of Cucurbita maxima Duch. seed extract against nonylphenol-induced reproductive toxicity.Journal of computer-aided molecular design · 2026Article
- Oxidative Stability and Quality Deterioration ofFoods (Basel, Switzerland) · 2026Article
- Bioactive compounds of Ganoderma species: molecular mechanisms and therapeutic potential in cancer and metabolic disorders.World journal of microbiology & biotechnology · 2025Review
- Chemical Constituents and Antimicrobial Activity of aPlants (Basel, Switzerland) · 2023Article
- A Review on the Sources, Structures, and Pharmacological Activities of Lucidenic Acids.Molecules (Basel, Switzerland) · 2023Review
- Classification, structure and mechanism of antiviral polysaccharides derived from edible and medicinal fungus.International journal of biological macromolecules · 2021Review
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- Structure Identification and Anti-Cancer Pharmacological Prediction of Triterpenes from Ganoderma lucidum.Molecules (Basel, Switzerland) · 2016Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
The species complex around the medicinal fungus Ganoderma lucidum Karst. (Ganodermataceae) is widely known in traditional medicines, as well as in modern applications such as functional food or nutraceuticals. A considerable number of publications reflects its abundance and variety in biological actions either provoked by primary metabolites, such as polysaccharides, or secondary metabolites, such as lanostane-type triterpenes. However, due to this remarkable amount of information, a rationalization of the individual Ganoderma constituents to biological actions on a molecular level is quite challenging. To overcome this issue, a database was generated containing meta-information, i.e., chemical structures and biological actions of hitherto identified Ganoderma constituents (279). This was followed by a computational approach subjecting this 3D multi-conformational molecular dataset to in silico parallel screening against an in-house collection of validated structure- and ligand-based 3D pharmacophore models. The predictive power of the evaluated in silico tools and hints from traditional application fields served as criteria for the model selection. Thus, the focus was laid on representative druggable targets in the field of viral infections (5) and diseases related to the metabolic syndrome (22). The results obtained from this in silico approach were compared to bioactivity data available from the literature. 89 and 197 Ganoderma compounds were predicted as ligands of at least one of the selected pharmacological targets in the antiviral and the metabolic syndrome screening, respectively. Among them only a minority of individual compounds (around 10%) has ever been investigated on these targets or for the associated biological activity. Accordingly, this study discloses putative ligand target interactions for a plethora of Ganoderma constituents in the empirically manifested field of viral diseases and metabolic syndrome which serve as a basis for future applications to access yet undiscovered biological actions of Ganoderma secondary metabolites on a molecular level.
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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 Socratic graph.