About Workshop
The Unveiling the Power of QSAR: Pioneering Trends in Computer-Aided Drug Design program is a comprehensive educational event designed to immerse participants in the world of Quantitative Structure-Activity Relationship (QSAR) modeling and its contemporary applications in Computer-Aided Drug Design (CADD). This workshop is meticulously crafted to provide a deep understanding of the intricate interplay between computational science and pharmaceutical research, offering a roadmap to harness the potential of QSAR in the drug development process.
Aim
The aim of this workshop is to empower participants with the latest insights and practical knowledge in Quantitative Structure-Activity Relationship (QSAR) modeling and its applications in Computer-Aided Drug Design (CADD). Through interactive sessions and hands-on experience with Minitab software, participants will gain a comprehensive understanding of how QSAR techniques enhance the drug development process.
What Participants Will Learn
- Introduction to CADD and QSA: Provide a foundational understanding of Computer-Aided Drug Design (CADD) and Quantitative Structure-Activity Relationship (QSAR) modeling.
- Hands-On QSAR Skills: Equip participants with practical skills, including QSAR modeling using Minitab software and data analysis techniques.
- Real-World Applications: Illustrate the practical applications of QSAR in pharmaceutical research and drug development through case studies.
- Enhanced Problem-Solving: Foster critical thinking and problem-solving abilities in the context of drug design and computational chemistry.
- Career Advancement: Empower participants with knowledge and skills to advance their careers in pharmaceuticals, computational chemistry, and related fields.
Structure
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
- QSAR and Drug Design
- Steps in QSAR
- QSAR Modeling importance in CADD
- QSAR Data Analysis
- Potential Drug Properties
- Pharmacophore Modeling
- 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
Important Dates
Registration Ends
07:00 PM
Workshop Dates
2025-07-22
8:00 PM
8:00 PM
What You Will Gain
Outcomes
- Proficiency in QSAR Modeling: Participants will gain hands-on experience and proficiency in using QSAR modeling techniques to predict and optimize drug properties.
- Understanding of CADD Principles: Participants will acquire a solid understanding of Computer-Aided Drug Design (CADD) principles, including molecular modeling and simulation.
- Real-World Application: Participants will be able to apply QSAR methods to real-world pharmaceutical challenges, enhancing their problem-solving abilities.
- Enhanced Career Prospects: Attendees will leave the program with valuable skills and knowledge that can boost their career opportunities in pharmaceuticals, computational chemistry, and related fields.
- Networking and Collaboration: The program will provide a platform for networking and collaboration with experts and peers in the field, fostering professional relationships and knowledge sharing.
Who Should Attend
- 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
Dr. Md Afroz Alam
Professor and Head
Speciality: Understanding of CADD Principles, Real-World Application, Enhanced Career Prospects, Networking and Collaboration, Proficiency in QSAR Modeling
Dr. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.