CV

Education

  • Ph.D in Chemistry
    2019
    School of Sciences, Moulay Ismail University, Meknes, Morocco
  • M.S. in Chemistry
    2014
    School of Sciences, Moulay Ismail University, Meknes, Morocco
  • B.S. in Chemistry
    2012
    School of Sciences, Moulay Ismail University, Meknes, Morocco

Skills

                      Publications

                      • Exploring the chemical space of BRAF Inhibitors: A cheminformatic and Machine learning analysis
                        2024
                        Journal of Molecular Liquids
                        This study systematically analyzed and modeled 3,952 BRAF kinase inhibitors using cheminformatics and machine learning to reveal chemical space, scaffold diversity, and structure–activity relationships, identifying key scaffolds and activity cliff molecules to guide the design of more effective BRAF inhibitors against melanoma with acquired resistance.
                      • Supervised Machine learning and Molecular docking modeling to Identify Potential Anti-Parkinson’s Agents
                        2025
                        Journal of Molecular Graphics and Modelling
                        This study used CHEMBL data to build and evaluate machine learning models with different descriptors, identifying the XGBoost model with RDkit features as the best for predicting adenosine A2A receptor inhibitors, supported by molecular docking, to aid in discovering new Anti-Parkinson's agents.
                      • Identification of a novel dual-target scaffold for 3CLpro and RdRp proteins of SARS-CoV-2 using 3D-similarity search, molecular docking, molecular dynamic and ADMET evaluation
                        2020
                        Journal of Biomolecular Structure & Dynamics
                        Using computational screening and molecular dynamics, we identified three promising compounds targeting SARS-CoV-2’s main protease and polymerase as potential dual inhibitors to combat COVID-19.

                      Presentations

                      • Introduction to KNIME for Cheminformatics: Molecular Fingerprints, Machine Learning, and Pipeline Creation
                        2023
                        NyBerMan Bioinformatics
                        Online Workshop
                      • Identification of New Small Molecules Antiviral Agents as Protein-Protein Inhibitors of the ACE2 : Coronavirus Spike Interactions to Prevent the Entry of SARS-CoV-2 to the host Cell
                        2021
                        GGMM and SFCi Congress, Lilliade, Lille University, France
                        Lille, France
                      • Identification of a novel dual-target scaffold for 3CLpro and RdRp proteins of SARS-CoV-2 using 3D-similarity search, molecular docking, molecular dynamic and ADMET evaluation
                        2020
                        UMI Meknès, Morocco
                        Meknès, Morocco

                      Teaching

                      • Organic Chemistry
                        2022
                        University of Ibn Zohr, Chemistry Department
                        Role: Undergraduate course
                      • Chemical Bonding
                        2022
                        Faculty of Applied Sciences, Ait-Melloul, Chemistry Department
                        Role: Workshop
                        Undergraduate course
                      • Cheminformatics In KNIME
                        2023
                        NyBerMan Bioinformatics
                        Role: Workshop
                        I delivered a talk introducing KNIME as a powerful tool for data analysis, explained molecular fingerprints and descriptors along with their associated file formats, and demonstrated fundamental machine learning concepts. Additionally, I guided participants through the process of building machine learning models and creating automated pipelines using KNIME.

                      Languages

                      Interests