Quinoline-based Schiff bases as possible antidiabetic agents: ligand-based pharmacophore modeling, 3D QSAR, docking, and molecular dynamics simulations study. [PDF]
Ranade SD +4 more
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Design of new molecules against cervical cancer using DFT, theoretical spectroscopy, 2D/3D-QSAR, molecular docking, pharmacophore and ADMET investigations. [PDF]
El Rhabori S +5 more
europepmc +1 more source
Lead generation of UPPS inhibitors targeting MRSA: Using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamic simulations. [PDF]
Qandeel BM +3 more
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Identification of PLK1-PBD Inhibitors from the Library of Marine Natural Products: 3D QSAR Pharmacophore, ADMET, Scaffold Hopping, Molecular Docking, and Molecular Dynamics Study. [PDF]
Zhou N, Zheng C, Tan H, Luo L.
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Identification of coumarin derivatives targeting acetylcholinesterase for Alzheimer's disease by field-based 3D-QSAR, pharmacophore model-based virtual screening, molecular docking, MM/GBSA, ADME and MD Simulation study. [PDF]
Saha B +5 more
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Pushing the boundaries of 3D-QSAR
Journal of Computer-Aided Molecular Design, 2007Based primarily on further studies of a collection of eleven publications reporting fifteen successful 3D-QSAR relations, several phenomena are preliminarily described. The RMS error of 133 ligand binding energy predictions based on these successful 3D-QSARs is 0.75 kcal/mole, which compares favorably to the prediction accuracies of approaches that ...
Richard D. Cramer, Bernd Wendt
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Template CoMFA: The 3D-QSAR Grail?
Journal of Chemical Information and Modeling, 2014Template CoMFA, a novel alignment methodology for training or test set structures in 3D-QSAR, is introduced. Its two most significant advantages are its complete automation and its ability to derive a single combined model from multiple structural series affecting a biological target.
Richard D. Cramer, Bernd Wendt
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3D-QSAR in Drug Design - A Review
Current Topics in Medicinal Chemistry, 2010Quantitative structure-activity relationships (QSAR) have been applied for decades in the development of relationships between physicochemical properties of chemical substances and their biological activities to obtain a reliable statistical model for prediction of the activities of new chemical entities.
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