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Author

A. El Aissouq

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Open access Sep 2026

Design of novel hydrazide–hydrazone derivatives targeting MGC803 gastric cancer cell line by integrating 3D-QSAR, ADMET, network pharmacology, docking, MD simulations and biological efficacy

A combined in silico approach including 3D-QSAR modeling, ADMET analysis, network pharmacology, docking, molecular dynamics and ligand transport evaluations, was applied to design new antiproliferative molecules, demonstrating a high predicted binding affinity and remarkable interaction profiles within the active site...

L. Naanaai, A. el Aissouq, Y. El Allouche et al. · 0 citations
Aug 2026

Chemoinformatics Study of Dimedone‐Derived Compounds as Inhibitors of Human Colon Cancer HT‐29

An integrated chemoinformatics study on 34 dimedone‐derived compounds active against HT‐29 colon cancer cells finds that derivatives Z7 and Z9, predicted to improve potency while maintaining reasonable developability, are designed to improve potency while maintaining reasonable developability.

Y. El Allouche, A. Diane, Sofia El Marjany et al. · 1 citation
Open access Jul 2026

An integrative computational strategy for antidiabetic drug discovery: From QSAR modeling to retrosynthesis

A comprehensive computational approach was used to identify novel ligands with potent inhibitory activity against various indenoquinoxaline-phenylacrylohydrazide hybrids, highlighting a promising lead compound for further in vitro and in vivo investigations targeting α-amylase inhibition.

L. Naanaai, M. Alaqarbeh, A. El Aissouq et al. · 0 citations

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