mebarka ouassaf
Université Mohamed Khider de Biskra: Biskra, DZ
Research areas: Pharmacology, Toxicology and Pharmaceutics · Drug Discovery · Computational Drug Discovery Methods · Synthesis and Characterization of Heterocyclic Compounds · SARS-CoV-2 and COVID-19 Research
0000-0002-0292-0949
About
Ouassaf Mebarka is currently a professor at the Department of Chemistry at the University of Biskra. She is a member of the "Computational and Pharmaceutical Chemistry" group. She obtained her PhD in Informatic Chemistry under the supervision of Prof. Belaidi Salah. Her research interests encompass the chemical design of biomolecules, virtual screening in drug discovery and drug design, QSAR models and molecular docking, and molecular dynamics.
Employment
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Université Mohamed Khider de Biskra: Biskra, DZ
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (36)
- DDI-HierPred: An Artificial Intelligence-Based Hierarchical PK/PD Platform for Drug–Drug Interaction Prediction Save
- MERS-Mpro Predictor: A Machine Learning-Based Tool for Rapid Screening of Potential MERS-CoV Main Protease Inhibitors Save
- An Explainable 2D-QSAR Machine Learning Approach for Predicting COX-2 Inhibitory Activity Using Molecular Fingerprints Save
- In Silico Network Pharmacology, Molecular Docking, and Molecular Dynamics Analysis of Rosemary-Derived Compounds as Potential HSP90 Inhibitors for Cancer Therapy Save
- Valorization of a Natural Compound Library in Exploring Potential Marburg Virus VP35 Cofactor Inhibitors via an In Silico Drug Discovery Strategy Save
- Discovery of Novel Natural Inhibitors of H5N1 Neuraminidase Using Integrated Molecular Modeling and ADMET Prediction Save
- Machine Learning-Guided Screening and Molecular Docking for Proposing Naturally Derived Drug Candidates Against MERS-CoV 3CL Protease Save
- Discovery of N-Aryl-Benzimidazolone Analogs as Novel Potential HSP90 Inhibitors: A Computational Approach Save
- Exploring the Antiviral Potential of Artemisia annua Through JAK-STAT Pathway Targeting: A Network Pharmacology Approach Save
- Computational studies of pyrimidine derivatives as inhibitors of human σ1 receptor using 3D-QSAR analysis, molecular docking, ADMET properties and DFT investigation Save
- Exploring potential therapeutics: Targeting dengue virus NS5 through molecular docking, ADMET profiling, and DFT analysis Save
- Identification of Potent Acetylcholinesterase Inhibitors as New Candidates for Alzheimer Disease via Virtual Screening, Molecular Docking, Dynamic Simulation, and Molecular Mechanics–Poisson–Boltzmann Surface Area Calculations Save
- Molecular docking, ADME-Tox, DFT and molecular dynamics simulation of butyroyl glucopyranoside derivatives against DNA gyrase inhibitors as antimicrobial agents Save
- Pharmacophore-based virtual screening, molecular docking, and molecular dynamics studies for the discovery of novel FLT3 inhibitors Save
- Pharmacophore-based virtual screening, molecular docking and molecular dynamics studies for the discovery of novel neuraminidase inhibitors Save
- Comparative Molecular Field Analysis (CoMFA), Molecular Docking and ADMET Study on Thiazolidine-4-carboxylic acid Derivatives as New Neuraminidase Inhibitors Save
- Discovery of novel potent drugs for influenza by inhibiting the vital function of neuraminidase via fragment-based drug design (FBDD) and molecular dynamics simulation strategies Save
- Marine-Derived Compounds as Potential Inhibitors of Hsp90 for Anticancer and Antimicrobial Drug Development: A Comprehensive In Silico Study Save
- Pharmacoinformatics and Breed-Based De Novo Hybridization Studies to Develop New Neuraminidase Inhibitors as Potential Anti-Influenza Agents Save
- In silico investigation of phytoconstituents from Cameroonian medicinal plants towards COVID-19 treatment Save