2D-QSAR modeling, drug-likeness studies, ADMET prediction, and molecular docking for anti-lung cancer activity of 3-substituted-5-(phenylamino) indolone derivatives

Mohammed Er-rajy(Euro-Mediterranean University of Fes), Menana Elhallaoui(Sidi Mohamed Ben Abdellah University), Sara Zarougui(Sidi Mohamed Ben Abdellah University), Hanine Hadni(Sidi Mohamed Ben Abdellah University), Mohamed El fadili(Sidi Mohamed Ben Abdellah University), Nidal Naceiri Mrabti(Sidi Mohamed Ben Abdellah University)
Structural Chemistry
March 15, 2022
10.1007/s11224-022-01913-3
Cited by 54

Related Papers

QSAR, ADMET In Silico Pharmacokinetics, Molecular Docking and Molecular Dynamics Studies of Novel Bicyclo (Aryl Methyl) Benzamides as Potent GlyT1 Inhibitors for the Treatment of Schizophrenia
|Pharmaceuticals|2022|71
Antioxidant, Volatile Compounds; Antimicrobial, Anti-Inflammatory, and Dermatoprotective Properties of Cedrus atlantica (Endl.) Manetti Ex Carriere Essential Oil: In Vitro and In Silico Investigations
|Molecules|2023|58
Design of novel anti-cancer drugs targeting TRKs inhibitors based 3D QSAR, molecular docking and molecular dynamics simulation
|Journal of Biomolecular Structure and Dynamics|2023|55
3D-QSAR, ADME-Tox In Silico Prediction and Molecular Docking Studies for Modeling the Analgesic Activity against Neuropathic Pain of Novel NR2B-Selective NMDA Receptor Antagonists
|Processes|2022|53
QSAR, ADME-Tox, molecular docking and molecular dynamics simulations of novel selective glycine transporter type 1 inhibitors with memory enhancing properties
|Heliyon|2023|46