El Mehdi Karim

Passionate about advancing oncology drug discovery through AI, computational chemistry and quantum computing, supported by the CNRST Doctoral Student-Monitor Fellowship. Skilled in molecular modeling, AI-Driven compound design and quantum applications, with a focus on kinase inhibitor creation and drug efficacy optimization. Experienced in molecular dynamics, Docking, DFT and pharmacophore modeling to improve safety and efficacy profiles. Dedicated to teaching and mentoring, with hands-on experience gained from internships at Qubit Pharmaceuticals in the field of quantum chemistry. Bridging technology and life sciences to drive impactful research, let's get in touch to explore this transformative field!

• Single-Step Docking Pipeline: This streamlined notebook optimizes both efficiency and accuracy in docking—a tool developed to specifically address computational bottlenecks in high-stakes environments. (One click)
• Quantum Algorithm Applications in Docking: Utilizing QAOA, I designed a protocol that tackles complex combinatorial challenges, a skill set that might be especially valuable given the growing importance of quantum-enhanced modeling in your field.
• AI-Driven Drug Repurposing Platform for Rare Diseases: A highly adaptable platform that enhances drug repurposing efforts, targeting conditions traditionally sidelined by conventional research methods.

• KARIM, El Mehdi, ABCHIR, Oussama, NOUR, Hassan, et al. In Silico Design of Novel Piperazine-Based mTORC1 Inhibitors Through DFT, QSAR and ADME Investigations. Biophysica, 2024, vol. 4, no 4, p. 517-529.
• KARIM, El Mehdi, ABCHIR, Oussama, NOUR, Hassan, et al. Discovery of a Potential Inhibitor Against Lung Cancer: Computational Approaches and Molecular Dynamics Study. Physical Chemistry Research, 2024, vol. 12, no 3, p. 579-589.
• Computational study of dual HER2/EGFR inhibitors: Molecular docking, molecular dynamics and MM-GBSA investigations (Under Review - HELIYON-D-24-64508)
• Single-step docking to dynamic analysis: Innovating RSK2 drug discovery using pyran derivatives (Under Review - PLOS ONE)
• Artificial Neural Networks as Scoring Systems (Ongoing)
• Integrating Maestro API into a one-click pipeline for streamlined drug design (Ongoing)
• Innovative Early Cancer Detection Platform (Ongoing - waiting for approval papers)

• Accelerated drug discovery using AI (Udemy, Oct 2024)
• Learn Drug Designing with Python and AI (Udemy, Oct 2024)
• Linear Regression with NumPy and Python (Coursera, Apr 2022)
• Multiple Linear Regression with scikit-learn (Coursera, Apr 2022)
• Lean Six Sigma White Belt (LSSWB) (The Council for Six Sigma Certification (CSSC), Jan 2021)
• Project Management Essentials Certified (PMEC) (Management & Strategy Institute, Jan 2021)
• Évaluation des risques sûreté COSHH (The Knights of Safety Academy, Jan 2021)