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10-Day Online Workshop: Computational Drug Design, Molecular Docking & MD Simulation

Master the complete computational workflow from target identification to binding free energy calculations using industry-standard tools in pharmaceutical research.

πŸ“… Duration

09 - 18 January 2026

⏰ Time

7:30 PM - 9:00 PM (IST)

πŸ’» Format

Online Hands-On

πŸ“š Sessions

10 Days

About the Workshop

This 10-Day Online Workshop delivers a comprehensive and immersive journey into Computational Drug Design, Molecular Docking, and Molecular Dynamics (MD) Simulation, equipping participants with both theoretical foundations and practical expertise essential for modern drug discovery. The program spans the complete computational workflowβ€”from target identification, ligand preparation, and docking strategies to MD simulation, trajectory analysis, and binding free energy calculationsβ€”using widely adopted tools in pharmaceutical and biotech research.

Designed for students, academic researchers, and professionals in bioinformatics, biotechnology, pharmacy, chemistry, and life sciences, this workshop empowers participants to independently perform docking studies, validate molecular interactions, run MD simulations, and generate publication-ready results using real biological datasets.

πŸ‘₯ Who Should Attend?

Whether you are a beginner or transitioning into computational drug design, this training provides a robust platform to build confidence, sharpen skills, and advance your career in computer-aided drug discovery. Perfect for undergraduate students, graduate researchers, PhD scholars, faculty members, and industry professionals looking to master computational chemistry techniques.

Workshop Registration Fee

UG/PG Student

β‚Ή1499 INR

International Participant

$50 USD

PhD Scholar/Researcher

β‚Ή1999 INR

Faculty

β‚Ή2499 INR

Industry Professional

β‚Ή2999 INR

βœ“ Includes: Recordings β€’ Study Materials β€’ Certificate β€’ Software Support

πŸ“š Complete Course Curriculum

Module 1: Foundations of CADD & Pre-processing (Days 1-3)
Day 1: Introduction to In Silico Drug Discovery
09 January (Friday)
  • The Drug Discovery Pipeline: Overview of pharmaceutical timeline and computational drug design
  • Ligand-based vs. Structure-based drug design approaches
  • Database Navigation: PDB, PubChem, ChEMBL, ZINC, UniProt
  • Retrieving protein structures and small molecules
Day 2: Protein Structure Preparation & Active Site Analysis
10 January (Saturday)
  • Structure cleaning: removing water, ligands, and heteroatoms
  • Refinement: fixing missing residues and protonation states
  • Hands-on with UCSF Chimera, PyMOL, Discovery Studio Visualizer
  • Active site prediction using CASTp and PrankWeb
Day 3: Ligand Design, Optimization & ADMET Profiling
11 January (Sunday)
  • Ligand selection and retrieval from databases
  • Structure drawing with ChemSketch
  • ADMET Analysis: Drug-Likeness (Lipinski's Rule of 5) and toxicity prediction
  • Using SwissADME and pkCSM for filtering ligands
  • File format conversion with OpenBabel
Module 2: Molecular Docking & Interaction Analysis (Days 4-6)
Day 4: Molecular Docking Theory & Setup
12 January (Monday)
  • Search algorithms: Genetic Algorithms, Lamarckian GA
  • Scoring functions fundamentals
  • Docking strategies: Rigid vs. Flexible vs. Blind docking
  • Grid box generation and active site definition
  • Input preparation with AutoDock Tools (ADT)
Day 5: High-Throughput Docking Execution
13 January (Tuesday)
  • Working with AutoDock Vina
  • Running docking on single ligands and compound libraries
  • Data handling and organizing output logs
  • Managing multiple poses effectively
Day 6: Post-Docking Analysis & Visualization
14 January (Wednesday)
  • Interpreting binding affinity (kcal/mol) and RMSD values
  • 2D/3D visualization with LigPlot+ and Discovery Studio
  • Interaction profiling: H-bonds, hydrophobic interactions, pi-stacking, salt bridges
  • Generating publication-ready figures
Module 3: Molecular Dynamics Simulation (Days 7-9)
Day 7: MD Simulation Fundamentals & System Setup
15 January (Thursday)
  • Theory: Newton's laws, force fields (AMBER/CHARMM), water models
  • Introduction to GROMACS in Linux environment
  • Topology generation for proteins and ligands
  • Building protein-ligand complexes
Day 8: Running the Simulation Workflow
16 January (Friday)
  • Solvation and neutralization with water box and counter-ions
  • Energy minimization using steepest descent
  • NVT equilibration: temperature stabilization
  • NPT equilibration: pressure stabilization
  • Production run execution
Day 9: Trajectory Analysis & Free Energy Calculation
17 January (Saturday)
  • Calculating RMSD and RMSF for stability assessment
  • Radius of Gyration (Rg) for compactness analysis
  • Solvent Accessible Surface Area (SASA) calculations
  • Hydrogen bond monitoring over time
  • MM-PBSA binding free energy calculations
Module 4: Capstone & Future Directions (Day 10)
Day 10: Capstone Project & Future Trends
18 January (Sunday)
  • Capstone project: Complete protein-ligand docking and MD analysis
  • Scientific report formatting and compilation
  • Future trends: AI/Machine Learning in drug discovery (AlphaFold, DeepDocking)
  • Cloud computing in computational chemistry
  • Q&A session and troubleshooting
  • Certificate distribution and closing remarks

πŸ‘₯ Who Should Attend

βœ“ Faculty members teaching computational chemistry or quantum chemistry
βœ“ Researchers working in computational chemistry and molecular modeling
βœ“ Graduate and undergraduate students new to computational tools
βœ“ PhD scholars requiring molecular simulations for their research
βœ“ Anyone interested in learning computational chemistry and drug design

🎯 Learning Outcomes

βœ“ Understand the fundamentals of Computational Drug Design
βœ“ Master molecular docking techniques with AutoDock Vina
βœ“ Perform protein structure preparation and active site analysis
βœ“ Calculate and analyze ligand-protein interactions
βœ“ Conduct molecular dynamics simulations using GROMACS
βœ“ Analyze MD trajectories and calculate binding free energies
βœ“ Generate publication-ready molecular visualizations

πŸ“₯ Download Workshop Resources

✨ What's Included

πŸŽ₯ Recorded Sessions - Access all workshop recordings anytime
πŸ“˜ Comprehensive Study Materials - Complete documentation and guides
πŸ› οΈ Software Installation Support - Help with setup and troubleshooting
πŸ… Certificate of Completion - Official workshop certificate
πŸ’» Hands-on Practice Files - Real datasets for practice
πŸ‘¨β€πŸ« Expert Instructor Support - Direct access to instructors

⭐ Workshop Highlights

🎯 Beginner-friendly approach with step-by-step guidance
πŸ’» Hands-on practical sessions every single day
πŸ“Š Real molecular examples from drug discovery
πŸ”¬ Industry-standard software tools and pipelines
πŸ‘¨β€πŸ« Expert instructors with extensive research experience
πŸ“ˆ Career advancement skills in computational chemistry

Ready to Get Started

Join this comprehensive workshop and master computational drug design!