Saad I.
Geprüfte Lehrkraft, moderiert durch das Classgap-Team
Neue Lehrkraft
Hello! I’m Saad, and I teach Computational Drug Design in a clear, beginner-friendly way. I’ve been working in in-silico drug discovery since 2023 and have practical experience in target selection, sequence and structural analysis, secondary-structure prediction, homology modelling, binding-site identification, ligand preparation, molecular docking, interaction analysis, ADME/Tox evaluation, pathway interpretation, and converting computational results into clear scientific conclusions. I really enjoy breaking complex concepts into simple steps that students can easily understand. My classes are interactive, structured and tailored to each student’s level. I focus on helping you build real project-ready skills and how to choose a research idea, plan a drug-design workflow, analyse your results and explain your findings with confidence. Whether you’re new to computational biology or preparing for university-level research, I guide you through each stage with clarity and patience. I welcome learners from all backgrounds and levels, and I’m excited to help you develop strong foundations in computational drug design and modern bioinformatics tools.
