Next Gen Drug Discovery: A Computer-Aided Perspective Crash Course
Master precision computational pipelines to design and optimize next-generation therapeutic molecules. Bridge the gap between structural biology and AI-driven pharmaceutical discovery in this comprehensive 6-month internship.
- 5.0/5
- English
- Updated Aug 2026
About this course
Transform your understanding of modern pharmaceutical discovery with the intensive layout detailed in CADD_6month_L11scwy.jpg. This "Computer Aided Drug Designing: Six Months Hands-On Program" is an extensive internship engineered by Dr. Omics Edu to cultivate advanced computational pharmacology expertise. Participants will dive deep into both structure-based and ligand-based drug design paradigms, learning to navigate macromolecular targets and complex chemical spaces. The extensive curriculum guides you through critical industry practices, including molecular docking simulations, virtual screening, and pharmacophore mapping. By incorporating state-of-the-art AI prediction models, deep learning algorithms, and quantitative structure-activity relationship (QSAR) workflows, learners will predict drug toxicity and binding affinities with high precision. This 6-month program transitions traditional biochemistry knowledge into highly reproducible biocomputing pipelines. Ultimately, this structural informatics training prepares life science professionals to innovate within biotechnology companies, clinical research organizations, and academic drug-discovery labs.
What you will learn
Skills you will gain
Certification
Available
Issued by Dr. OmicsCourse curriculum
1 moduleWhat you need to start
- A foundational understanding of basic biochemistry, organic chemistry, or cellular biology concepts.
- No prior programming or computational modeling experience is required; all technical software interfaces are taught from scratch.
Who this course is for
- Pharmacy and Chemistry Students (B.Pharm, M.Pharm, M.Sc.) looking to specialize in modern computational chemistry.
- Life Science Researchers (Ph.D., Postdocs) wanting to validate wet-lab biological essays with structural in-silico data.
- Bioinformatics Analysts aiming to build robust technical pipelines for small-molecule and protein-ligand interactions.
- Aspiring Biotech Professionals seeking a comprehensive, industry-recognized internship to boost their pharmaceutical careers.