3-Phosphoinositide-dependent protein kinase-1 (PDK1) is a promising target for developing novel anticancer drugs. In order to understand the structure-activity correlation of indolinone-based PDK1 inhibitors, we have carried out a combined molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) modeling study. The study has resulted in two types of satisfactory 3D-QSAR models, including the CoMFA model (r(2)=0.907; q(2)=0.737) and CoMSIA model (r(2)=0.991; q(2)=0.824), for predicting the biological activity of new compounds. The detailed microscopic structures of PDK1 binding with inhibitors have been studied by molecular docking. We have also developed docking-based 3D-QSAR models (CoMFA with q(2)=0.729; CoMSIA with q(2)=0.79). The contour maps obtained from the 3D-QSAR models in combination with the docked binding structures help to better interpret the structure-activity relationship. All of the structural insights obtained from both the 3D-QSAR contour maps and molecular docking are consistent with the available experimental activity data. This is the first report on 3D-QSAR modeling of PDK1 inhibitors. The satisfactory results strongly suggest that the developed 3D-QSAR models and the obtained PDK1-inhibitor binding structures are reasonable for the prediction of the activity of new inhibitors and in future drug design.
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http://dx.doi.org/10.1021/ci800147v | DOI Listing |
Chem Biodivers
January 2025
Ordu University: Ordu Universitesi, Department of Chemistry, Cumhuriyet Mah., Ordu, TURKEY.
The concise synthesis of O-methyled-inositol derivative and conduritol derivatives was obtained starting from p-benzoquinone. Spectroscopic methods have been performed for characterization of new synthesized compounds. Cyclitols are useful molecules with anticancer, antibiotic, antinutrient and antileukemic activity.
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January 2025
Department of Pharmaceutical Sciences, College of Health Sciences and Pharmacy, Chicago State University, Chicago, Illinois, USA.
This study was undertaken to assess the antioxidant and neuropharmacological potentials of the methanol leaf extract of Acanthus ebracteatus (MAEL) through experimental and in silico methods. The phytochemical screening (PS) and GC-MS (gas chromatography-mass spectrometry) identified 28 phytochemicals with different classes in nature in MAEL. The MAEL revealed better antioxidant activity through various in vitro antioxidant assays.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
School of Chemistry, The University of New South Wales, Sydney, NSW 2052, Australia.
A systematic series of QM cluster models has been developed to predict the trend in the carbonic anhydrase binding affinity of a structurally diverse dataset of ligands. Reference DLPNO-CCSD(T)/CBS binding energies were generated for a cluster model and used to evaluate the performance of contemporary density functional theory methods, including Grimme's "3c" DFT composite methods (rSCAN-3c and ωB97X-3c). It is demonstrated that when validated QM methods are used, the predictive power of the cluster models improves systematically with the size of the cluster models.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
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Parul Institute of Applied Sciences, Parul University, Vadodara, India.
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January 2025
Department of Biotechnology, Kakatiya University, Warangal, Telangana, India.
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