m
monabas

Mouna BS

@monabas

PhD Drug Discovery Expert

Morocco
English, French, Arabic
About me
I help researchers and biotech startups design and evaluate drug candidates using advanced computational chemistry. I have contributed to projects targeting HIV-1 protease, integrase, and reverse transcriptase, with publications in indexed journals. My expertise includes molecular docking, molecular dynamics (MD), QSAR modeling, and ADMET prediction to optimize drug discovery. With a PhD in computational chemistry, I deliver accurate, reproducible, and publication-ready results. Feel free to contact me before placing an order to discuss your project!... Read more

Skills

m
monabas
Mouna BS
Offline • 
Average response time: 1 hour

See my services

Programming & Tech
I will perform molecular docking admet prediction and MD simulation for drug discovery
Academic Writing Revision
I will revise, edit, and enhance your research paper

Portfolio

Work experience

Freelancer.com

Published peer-reviewed research on HIV-1 drug discovery using advanced in silico techniques

Freelancer.com • Self-employed

Oct 2020 - Present5 yrs 7 mos

Work Experience Computational Chemist & Drug Design Researcher - Published peer-reviewed research on HIV-1 drug discovery using advanced in silico techniques. - Developed and validated QSAR (2D & 3D) models with strong predictive performance (R² up to 0.97). - Designed and optimized novel drug candidates targeting HIV-1 protease and reverse transcriptase. - Conducted molecular docking studies to evaluate ligand–protein binding affinities and interaction mechanisms - Performed molecular dynamics simulations (100 ns) to assess the structural stability of protein–ligand complexes - Applied ADMET and drug-likeness analysis to filter compounds with optimal pharmacokinetic profiles. - Successfully proposed new lead compounds with comparable or superior activity to existing drugs (e.g., darunavir benchmarks). - Used tools: Discovery Studio, MATLAB, XLSTAT, Gaussian, Avogadro, OpenBabel, ChemDraw ... Scientific Researcher – HIV-1 Inhibitor Design (Published Work) Academic Research Projects - Built robust QSAR models linking molecular descriptors to biological activity using PCA, MLR, and clustering methods. - Designed 35+ novel NNRTI compounds based on 3D-QSAR contour map insights. - Identified high-potential candidates with enhanced binding affinity and favorable ADMET properties. - Conducted statistical validation (LOOCV, external validation, Y-randomization), ensuring model reliability. - Evaluated drug resistance challenges and proposed solutions via structure-based design.