ArticlePloS one2013
Identification of PPARgamma partial agonists of natural origin (II): in silico prediction in natural extracts with known antidiabetic activity.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Rational in silico design of PPARγ agonists for type 2 diabetes: an integrated study using pharmacophore modeling, 3D-QSAR, molecular docking, MD simulations, DFT, and toxicity prediction.Molecular diversity · 2026Article
- Article
- Bioactivity-Guided Fractionation and Identification of Antidiabetic Compound ofMolecules (Basel, Switzerland) · 2022Article
- Characterization of anNutrients · 2021Article
- Andrographis paniculata and Its Main Bioactive Ingredient Andrographolide Decrease Alcohol Drinking and Seeking in Rats Through Activation of Nuclear PPARγ Pathway.Alcohol and alcoholism (Oxford, Oxfordshire) · 2021Article
- In silico analysis of a potential antidiabetic phytochemical erythrin against therapeutic targets of diabetes.In silico pharmacology · 2021Article
- Synthesis and Cytotoxicities of Royleanone Derivatives.Natural products and bioprospecting · 2018Article
- Development of an In Vitro Screening Platform for the Identification of Partial PPARγ Agonists as a Source for Antidiabetic Lead Compounds.Molecules (Basel, Switzerland) · 2018Review
- Identification of novel multitargeted PPARα/γ/δ pan agonists by core hopping of rosiglitazone.Drug design, development and therapy · 2014Article
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7 authors.
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Abstract
backgroundNatural extracts have played an important role in the prevention and treatment of diseases and are important sources for drug discovery. However, to be effectively used in these processes, natural extracts must be characterized through the identification of their active compounds and their modes of action. METHODOLOGY/PRINCIPAL
findingsFrom an initial set of 29,779 natural products that are annotated with their natural source and using a previously developed virtual screening procedure (carefully validated experimentally), we have predicted as potential peroxisome proliferators-activated receptor gamma (PPARγ) partial agonists 12 molecules from 11 extracts known to have antidiabetic activity. Six of these molecules are similar to molecules with described antidiabetic activity but whose mechanism of action is unknown. Therefore, it is plausible that these 12 molecules could be the bioactive molecules responsible, at least in part, for the antidiabetic activity of the extracts containing them. In addition, we have also identified as potential PPARγ partial agonists 10 molecules from 16 plants with undescribed antidiabetic activity but that are related (i.e., they are from the same genus) to plants with known antidiabetic properties. None of the 22 molecules that we predict as PPARγ partial agonists show chemical similarity with a group of 211 known PPARγ partial agonists obtained from the literature. CONCLUSIONS/SIGNIFICANCE: Our results provide a new hypothesis about the active molecules of natural extracts with antidiabetic properties and their mode of action. We also suggest plants with undescribed antidiabetic activity that may contain PPARγ partial agonists. These plants represent a new source of potential antidiabetic extracts. Consequently, our work opens the door to the discovery of new antidiabetic extracts and molecules that can be of use, for instance, in the design of new antidiabetic drugs or functional foods focused towards the prevention/treatment of type 2 Diabetes Mellitus.
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