Integration of machine learning in 3D-QSAR CoMSIA models for the identification of lipid antioxidant peptides. [PDF]
Nha Tran TT, Thuan Tran TD, Thuy Bui TT.
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3D-QSAR study for the development of chalcone-based inhibitors targeting ovarian cancer cells with experimental validation. [PDF]
Valenzuela-Valderrama M +7 more
europepmc +1 more source
Discovery of New 7-Propanamide Benzoxaborole as Potent Anti-SKOV3 Agent via 3D-QSAR Models. [PDF]
Ji L, Zhang J, Zhou H, Zhao Y.
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In Silico Development of Novel Quinazoline-Based EGFR Inhibitors via 3D-QSAR, Docking, ADMET, and Molecular Dynamics. [PDF]
Moussaoui M +10 more
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In Silico Discovery of ABZI Nitrogen Heterocycle STING Agonists via 3D-QSAR, Molecular Dynamics, and AI-Based Synthesis Prediction. [PDF]
Ren H +5 more
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Potent VEGFR-2 inhibitors for resistant breast cancer: a comprehensive 3D-QSAR, ADMET, molecular docking and MMPBSA calculation on triazolopyrazine derivatives. [PDF]
Baammi S, El Allali A, Daoud R.
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Based on 3D-QSAR modeling and molecular dynamics of novel peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 inhibitors design and screening. [PDF]
Xu D, Li J, Li Y, Dou J.
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Active Learning FEP Using 3D-QSAR for Prioritizing Bioisosteres in Medicinal Chemistry. [PDF]
Ramaswamy VK, Habgood M, Mackey MD.
europepmc +1 more source
Identifying natural products for gastric cancer treatment through pharmacophore creation, 3D QSAR, virtual screening, and molecular dynamics studies. [PDF]
Jalali Z, Nejad Ebrahimi S, Rezadoost H.
europepmc +1 more source
Design of Hybrid Quinoline-Chalcone Compounds Against <i>Leishmania amazonensis</i> Based on Computational Techniques: 2D- and 3D-QSAR with Experimental Validation. [PDF]
Lorca M +9 more
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