Online Workshop on QSAR Modeling in Computer-Aided Drug Design (CADD)
Unlock the Power of QSAR in Modern Pharmaceutical Research
03–08 JULY 2026 |8:00 PM IST | ONLINE HANDS-ON WORKSHOP
03–08 July 2026 |8:00 PM IST | Online Hands-on Workshop | Certificate
About the Workshop
Quantitative Structure–Activity Relationship (QSAR) modeling is a powerful computational approach used in modern drug discovery to predict the biological activity of chemical compounds based on their molecular properties. This hands-on workshop provides practical training in QSAR modeling, molecular descriptors, statistical analysis, and predictive model development using industry-relevant tools and methodologies. Participants will gain essential skills in Computer-Aided Drug Design (CADD) and learn how QSAR accelerates lead optimization, virtual screening, and pharmaceutical research. Designed for students, researchers, academicians, and industry professionals, this workshop offers a strong foundation in computational drug discovery and predictive modeling for real-world applications.
What You Will Learn
Fundamentals of Computer-Aided Drug Design (CADD)
Introduction to Molecular Modeling Concepts
Drug Discovery and Development Process
Principles of QSAR Modeling
Molecular Descriptors and Their Applications
QSAR Workflow and Model Development
Pharmacophore Modeling Basics
QSAR Data Analysis Techniques
Multiple Linear Regression (MLR) Models
Correlation and Statistical Analysis
PRESS Statistics and SSY Analysis
Model Validation Techniques
Prediction of Biological Activity (IC₅₀ / pIC₅₀)
Applications of QSAR in Drug Discovery
Industry-Oriented Computational Approaches
Course Features
Live Interactive Online Workshop
Hands-on Practical Training Sessions
Real-Time Demonstrations
Beginner-Friendly Learning Approach
Research-Oriented Curriculum
Industry-Relevant Skill Development
Lecture Recordings (Lifetime Access)
Study Materials and Learning Resources
Doubt Resolution Support
Expert-Led Sessions
Networking Opportunities with Researchers
ISO-IAF Accredited e-Certificate
Learning Outcomes
Understand the fundamentals of QSAR and CADD
Develop predictive QSAR models
Calculate and interpret molecular descriptors
Perform statistical analysis for QSAR studies
Validate QSAR models using standard techniques
Predict biological activity of chemical compounds
Apply QSAR in lead optimization and drug design
Understand pharmacophore-based drug discovery
Utilize computational approaches in pharmaceutical research
Integrate QSAR methodologies into academic and industrial projects
Who Can Join
Undergraduate (UG) Students
Postgraduate (PG) Students
Research Scholars
Faculty Members
Bioinformatics Professionals
Pharmaceutical Scientists
Medicinal Chemists
Drug Discovery Researchers
Computational Biology Enthusiasts
Industry Professionals
Anyone Interested in CADD and Drug Design
Course Fee
Indian Participants: ₹ 999
International Participants: $45 USD
Workshop Module
Day 1: Introduction to CADD and Molecular Modeling
Introduction to Computer-Aided Drug Design
Molecular Simulation Concepts
Force Fields
Energy Minimization
Day 2: Drug Development Process
Overview of Drug Discovery Pipeline
Process of CADD
Technology Impact on Drug Development
Methodologies and Strategies
Day 3: QSAR and Drug Design
Introduction to QSAR
Steps in QSAR Modeling
Importance of QSAR in Drug Discovery
Molecular Descriptors
Day 4: QSAR Data Analysis
Pharmacophore Modeling
Descriptor Selection
Data Preparation and Analysis
Model Development Workflow
Day 5: Minitab for QSAR Modeling
Introduction to Minitab
Multiple Linear Regression Models
Correlation Coefficient Analysis
PRESS Statistics and SSY Analysis
Day 6: Applications of QSAR
Model Validation Techniques
Biological Activity Prediction
Lead Optimization Strategies
Pharmaceutical Applications of QSAR