2022
DOI: 10.1021/acsomega.2c05544
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Polyoxygenated Cyclohexenes from Uvaria grandiflora with Multi-Enzyme Targeting Properties Relevant in Type 2 Diabetes and Obesity

Abstract: Shikimic acid-derived polyoxygenated cyclohexene natural products commonly occurring in several species of the Uvaria represent natural products with promising biological activities. While a number of derivatives have been reported from Uvaria grandiflora (U. grandiflora), further studies are needed to discover additional bioactive congeners, particularly derivatives with multi-protein target inhibitory properties implicated in diseases such as diabetes and obesity. In this paper, isolation and identification … Show more

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Cited by 7 publications
(5 citation statements)
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References 24 publications
(60 reference statements)
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“…Since its initial discovery in 1997, zeylenone has consistently demonstrated therapeutic potential against inflammation, diabetes, and various cancers, such as prostate, gastric, and cervical cancers ( Quimque et al, 2022 ). However, due to its multichiral centers and complex structure, zeylenone is somewhat difficult to synthetically obtain and to conformationally study ( Vinaykumar and Venkateswara Rao, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“…Since its initial discovery in 1997, zeylenone has consistently demonstrated therapeutic potential against inflammation, diabetes, and various cancers, such as prostate, gastric, and cervical cancers ( Quimque et al, 2022 ). However, due to its multichiral centers and complex structure, zeylenone is somewhat difficult to synthetically obtain and to conformationally study ( Vinaykumar and Venkateswara Rao, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“…The X‐ray crystallographic structure of DPP‐4, α‐glucosidase, and α‐amylase were retrieved from Protein Data Bank (http://www.rcsb.org) with PDB IDs 2RIP, 2QMJ, and 3BAJ, respectively. These X‐ray crystallographic structures were extensively utilised in numerous earlier investigations (Chandrasekaran et al ., 2020; Gani et al ., 2021; Sharma et al ., 2021; Quimque et al ., 2022). Prior to generating PDBQT files for the targeted proteins, AutoDockTools 4.2 was employed to remove heteroatoms, optimise the structures, and add Kollman and polar hydrogen charges (Morris et al ., 2009).…”
Section: Methodsmentioning
confidence: 99%
“…Grid boxes were prepared and docking was conducted using autodock vina through the PyRx virtual screening tool [48] . The binding energy of each ligand was calculated and protein‐ligand interaction was visualized using PyMol and biovia discovery studio [49] …”
Section: Methodsmentioning
confidence: 99%
“…[48] The binding energy of each ligand was calculated and protein-ligand interaction was visualized using PyMol and biovia discovery studio. [49]…”
Section: Glucose Adsorption Assaymentioning
confidence: 99%