Bachelor Dissertation (Thesis): “Structure-Based Drug Design of Negative Allosteric Modulators for TPO, Molecular Cloning of TPO, and In Read more Silico–Guided Experimental Validation of a Nano-Probiotic Delivery System for Levothyroxine Enhancement: An Integrated Multi-Strategic Approach for Hypothyroidism.”• Funded by the Academy of Scientific Research and Technology (ASRT)• Conducted in collaborating with the company PAULING.AIUnder Supervision of: Prof.Dr. Mohamed Hassan Abdul AzizFocus Areas: • Sequence Bioinformatics (Bulk RNA) • Structural Bioinformatics • Computer-Aided Drug Design (CADD) • Pharmacoinformatics • Pharmaceutical and Medical Biotechnology

Area (subfield): Structural Bioinformatics | Computational Structural Biology | Cheminformatics | Pharmacoinformatics | Computational Drug Discovery Read more | Computational Chemistry | Computational biophysics | Drug Repurposing | Computer-Aided Drug Design & Discovery (CADD) | Molecular Modeling | Rational Drug Design< Professional Computer-Aided Drug Design (CADD) Diploma >• The diploma content consists of a bundle of courses:- 1- Introduction to Chemoinformatics and Computational Drug Discovery. 2- Chemoinformatics Database and File Formats. 3- Comprehensive Guide to Protein Structure Prediction, Visualization, and Evaluation. 4- Protein Sequence Alignment and Phylogenetic Analysis: A Comprehensive Guide. 5- Gene Prediction and Protein-Protein Interaction (PPI): A Bioinformatics Approach. 6- ADME/Tox Prediction and Personalized Medicine: Integrating Pharmacogenomics and Pharmacodynamics in Drug Development. 7- Pharmacophore Modeling, Virtual Screening, and Customized Development. 8- 3D QSAR, Fragment-Based Drug Design, and Lead Optimization. 9- Structural Interaction Fingerprinting (SIFT), Virtual Screening, and Cross-Target Analysis. 10- From Zero to Hero Foundations of Molecular Docking and Virtual Screening. 11- Density Functional Theory (DFT) Analysis, ADME/Tox Prediction, and Compound Database Management. 12- Molecular Dynamics Simulation: A Guide Using MOE & Schrödinger. 13- Molecular Dynamics Simulations Using NAMD, VMD, and Collab : A Practical Guide. 14- Capstone Project, Scientific Writing, Presentation Skills, Collaboration in Chemoinformatics.• Conducting research as part of a professional diploma in Computer-Aided Drug Design (CADD), with a focus on molecular modeling, virtual screening, and in silico drug discovery. Expected to co-author a scientific publication based on the project outcomes.

I will be working on computational chemistry and computer-aided drug design & discovery (CADD) projects, utilizing techniques such as molecular Read more docking, virtual screening, and cheminformatics tools to investigate protein–ligand interactions and support structure-based drug design.In addition to the technical aspects, I will contribute to data analysis, software setup, and interpretation of computational results to facilitate efficient and reliable research workflows. I am also expected to actively participate in collaborative projects, team discussions, and research reviews, ensuring alignment with project goals and timelines.I aim to continuously develop my skills, engage in capacity-building opportunities, and collaborate effectively with the team to contribute to impactful in silico pharmaceutical research.

Training program on “Statistical Data Analysis Using R Language’’Proficient in writing R code for statistical data analysis, identifying Read more experimental units, factors, treatments, and randomization, distinguishing between different data types, using appropriate statistical software, interpreting ANOVA tables, analyzing bivariate relationships, and fitting linear models.

“Biotechnology & Bioinformatics Bootcamp: An intensive training program covering three main modules” Completed intensive training in NGS, drug Read more discovery, and metagenomics, covering sequencing technologies, data analysis (FASTQ, BAM, VCF), molecular docking, ADMET prediction, and 16S rRNA microbiome studies using R. Each module included practical projects applying real data. Additionally, completed a full R programming course for bioinformatics and data analysis applications.