QSAR Modeling Workshop

1. Introduction to CADD and QSA: Provide a foundational understanding of Computer-Aided Drug Design (CADD) and Quantitative Structure-Activity Relationship (QSAR) modeling.
2. Hands-On QSAR Skills: Equip participants with practical skills, including QSAR modeling using Minitab software and data analysis techniques.
3. Real-World Applications: Illustrate the practical applications of QSAR in pharmaceutical research and drug development through case studies.
4. Enhanced Problem-Solving: Foster critical thinking and problem-solving abilities in the context of drug design and computational chemistry.
5. Career Advancement: Empower participants with knowledge and skills to advance their careers in pharmaceuticals, computational chemistry, and related fields.

Day 1:

• CADD and Molecular Modeling
• Why CADD and Molecular Simulation
• Force Field and Energy minimization
• Drug Development Process
• Process of CADD and Technology Impact
• Phases of CADD, methodology and Strategies

Day 2:

• QSAR and Drug Design
• Steps in QSAR
• QSAR Modeling importance in CADD
• QSAR Data Analysis
• Potential Drug Properties
• Pharmacophore Modeling

Day 3:

• Introduction of Minitab software
• Multiple Linear Regression Model
• PRESS, SSY and Leave one out (LOO)
• Applications of QSAR
• Correlation coefficient and Model Validation
• Applications of QSAR in pharmaceutical development

• Undergraduate and Postgraduate students in Pharmacy, Biotechnology, Bioinformatics, Chemistry, or related life science disciplines
• PhD scholars and researchers working in drug discovery, molecular modeling, or cheminformatics
• Faculty members and academicians interested in integrating computational methods into their curriculum
• Industry professionals from pharmaceutical, biotech, and healthcare sectors involved in R&D and computational drug design