Parkinson's disease (PD) is a complex neurodegenerative disorder that affects dopamine neurons of the substantia nigra pars compacta (SNpc), resulting in motor dysfunction. Among the pathways examined, mitochondria and α-synuclein were found to play a major role in the disease progression. Hence, several attempts are being made to restore mitochondrial bioenergetics or protein aggregation pathways as disease-modifying strategies.
View Article and Find Full Text PDFThe present study was intended for the identification of secondary metabolites in acetone extract of the lichen using UPLC-ESI-QToF-MS/MS and the detection of bioactive compounds. This study led to the identification of 22 metabolites based on their MS/MS spectra, accurate molecular masses, molecular formula from a comparison of the literature database (DNP), and fragmentation patterns. In addition, potent antioxidant and α-glucosidase inhibitory potentials of acetone extract of motivated us to isolate 10 metabolites, which were characterized as salazinic acid (), norlobaridone (), atranorin (), lecanoric acid (), lichesterinic acid (), protolichesterinic acid (), methyl hematommate (), iso-rhizonic acid (), atranol (), and methylatratate ( based on their spectral data.
View Article and Find Full Text PDFWEE1 is a checkpoint kinase critical for mitotic events, especially in cell maturation and DNA repair. Most cancer cells' progression and survival are linked with elevated levels of WEE1 kinase. Thus, WEE1 kinase has become a new promising druggable target.
View Article and Find Full Text PDFMost of the existing DENV entry inhibitors were discovered through structure-based, high-throughput screening techniques and optimization approaches by aiming β-OG pocket. However, the class of precise chemical scaffolds with superior antiviral activity targeting the early stages of virus infection that is considered to be beneficial in therapeutics and is still in process. In this study, ligand-based pharmacophore modeling using existing DENV entry inhibitors provided two best models, AADRR-2 and AAADR-2 (A- accepter, D- donor, R-ring) to screen public and DrugBank datasets.
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