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Advanced Pharmaceutical Bulletin|November 29, 2023
A Quantitative Structure-Activity Relationship for Human Plasma Protein Binding: Prediction, Validation and Applicability DomainAffaf Khaouane, Samira Ferhat, Salah Hanini
AAPS Pharmscitech|November 14, 2023
Deep Learning for Drug Development: Using CNNs in MIA-QSAR to Predict Plasma Protein Binding of DrugsAffaf Khaouane, Latifa Khaouane, Samira Ferhat, et al.
Advanced Pharmaceutical Bulletin|March 16, 2026
Deep Learning-Based Drug Half-Life Classification to Enhance Drug Development and PharmacokineticsAffaf Khaouane, Hadjer Barki, Samira Ferhat
Environmental Science and Pollution Research International|June 5, 2026
Environmental pollution from silica sand washing in Algeria: physico-chemical analysisBillal Ameri, M'hamed Djennad, Salah Hanini
In Silico Pharmacology|November 10, 2025
Investigating the therapeutic potential of <i>Lepidium sativum</i>-derived compounds in prostate cancer: an integrative in silico approachSaid Bitam, Mabrouk Hamadache, Salah Hanini
Journal of Computer-Aided Molecular Design|December 13, 2025
Discovery of novel natural product-derived EGFR inhibitors using multiple linear regression, stacked ensemble regression, and fingerprinting approachesSaid Bitam, Mabrouk Hamadache, Salah Hanini
Journal of Biomolecular Structure & Dynamics|August 19, 2022
2D-QSAR, docking, molecular dynamics, studies of PF-07321332 analogues to identify alternative inhibitors against 3CL<sup>pro</sup> enzyme in SARS-CoV diseaseSaid Bitam, Mabrouk Hamadache, Salah Hanini
Journal of Biomolecular Structure & Dynamics|May 26, 2023
Targeting bladder cancer with Trigonella foenum-graecum: a computational study using network pharmacology and molecular dockingSaid Bitam, Mabrouk Hamadache, Salah Hanini
Journal of Pharmacy & Pharmaceutical Sciences : a Publication of the Canadian Society for Pharmaceutical Sciences, Societe Canadienne Des Sciences Pharmaceutiques|March 27, 2026
Integrative deep learning strategies to enhance early-stage drug discovery: optimizing computational structure-activity modeling for pharmacotherapeutic innovationSarah Rezazi, Cherif Si-Moussa, Salah Hanini
Environmental Science and Pollution Research International|October 26, 2017
QSAR modeling in ecotoxicological risk assessment: application to the prediction of acute contact toxicity of pesticides on bees (Apis mellifera L.)Mabrouk Hamadache, Othmane Benkortbi, Salah Hanini, et al.
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