NSU-approve Online Drug Discovery Courses
The Department of Pharmaceutical Sciences, North South University (NSU) is offering a series of approved online training courses on Computational Drug Discovery.
These programs are designed to build practical, research-oriented skills in molecular docking, molecular dynamics, and machine learning–based virtual screening for students, researchers, and professionals.
Fees & Schedules of the Training Courses
| Course (Batch) | Fee (BDT) | Pre-Enroll Ends | Payment Deadline | Class Starts | Classes |
|---|---|---|---|---|---|
| Intro Docking & MD (IDMD-2026-B3) | 6,000 | 19 May 2026 | 20 May 2026 | 21 May 2026 | 6 (Thu & SAT) |
| Advanced Docking & MD (ADMD-2026) | 10,000 | -Please stay in touch. -Will be offered soon. | – | – | – |
| ML for Virtual Screening (MLVS-2026) | 10,000 | -Open only for groups of 6+ -Please email for further information | – | – | – |
Class Time (All Courses)
7:00 PM – 8:30 PM (BST)
🌐 Mode: Online
🎓 Certificate: Provided upon successful completion
📝 Pre-enrollment
📝 Registration & Payment
📄 Payment receipt is mandatory to finalize registration.
Course 1: Introduction to Docking and Molecular Dynamics
Learning Outcomes
Upon successful completion of the course, participants will be able to:
- Identify and use standard protein and ligand file formats
- Retrieve biomolecular structures from public biological and chemical databases
- Perform molecular docking using both standalone and web-based tools
- Visualize and interpret protein–ligand interactions
- Set up and run basic molecular dynamics simulations using GROMACS
- Perform standard MD trajectory analyses including RMSD, RMSF, and hydrogen bond analysis
Prerequisites
- Basic understanding of biochemistry or molecular biology
- No prior experience in molecular docking or molecular dynamics is required
- A working computer (laptop or desktop) with a stable internet connection
Course 2: Advanced Docking and Molecular Dynamics
Learning Outcomes
Upon successful completion of the course, participants will be able to:
- Build and validate homology models using SWISS-MODEL
- Perform command-line molecular docking using AutoDock Vina
- Validate docking protocols through redocking, controls, and decoy-based approaches
- Resolve ligand parameterization issues within CHARMM36 and AMBER force fields
- Design molecular dynamics systems with appropriate water models, salt concentrations, and box geometries
- Conduct advanced trajectory analyses using GROMACS
Prerequisites
- Prior knowledge of molecular docking and basic molecular dynamics simulations
- Familiarity with Linux or command-line environments
- Completion of an equivalent introductory computational drug discovery course is recommended
- A working computer (laptop or desktop) with a stable internet connection
Course 3: Introduction to Machine Learning for Virtual Screening
Learning Outcomes
Upon successful completion of the course, participants will be able to:
- Explain the role of machine learning in virtual screening
- Prepare and curate chemical datasets for ML analysis
- Generate molecular descriptors and fingerprints
- Train basic classification and regression models for activity prediction
- Evaluate model performance using appropriate statistical metrics
- Apply trained models to virtual screening workflows
Prerequisites
- Basic knowledge of chemistry or pharmaceutical sciences
- No prior experience in programming or machine learning is required
- A working computer (laptop or desktop) with a stable internet connection
Program Highlights
- ✅ Approved by North South University (NSU) authority
- 👨🏫 Conducted by experienced NSU faculty members
- 💻 Use of highly cited and free computational tools
- 🧪 Hands-on, practical training
- 📈 Capacity development for independent research
- 🌙 Evening online classes
- 🎓 Certificate of completion
- 🚫 Limited seats available
📞 Contact Information
For any queries related to pre-enrollment, registration, payment, or course details, please contact the registration organizer.
📧 Email:
[email protected]
⏱️ Response Time:
We usually respond within 1–2 working days.
🏷️ Organizer Details
Registration Organizer
Idgence Research
Training Organizer
Department of Pharmaceutical Sciences
North South University (NSU)
