Insilico Macromolecular Modeling & Docking
Unlock the Power of Molecules: Model, Dock, and Discover
Virtual (Google Meet)
Mentor Based
Moderate
3 Days (1.5 hours per day)
IST
About
The “Insilico Macromolecular Modeling & Docking” workshop offers a detailed exploration into the computational techniques used in modeling biological macromolecules and their interactions with ligands. Through immersive lectures and hands-on training in software like AutoDock, Rosetta, and MOE, participants will learn to visualize, model, and manipulate molecular structures to predict how they interact with other molecules.
Aim
This workshop is designed to equip participants with the skills to perform advanced macromolecular modeling and docking techniques, crucial for drug design and molecular biology. Students will learn to simulate molecular interactions, predict binding affinities, and utilize computational tools to aid in the discovery and development of new pharmaceuticals.
Workshop Objectives
- Master the fundamentals of macromolecular structures and interactions.
- Develop skills in using state-of-the-art software for molecular modeling and docking.
- Understand the applications of molecular docking in drug discovery and development.
- Analyze and interpret data from computational modeling experiments.
- Prepare for advanced roles in research and development within biotechnology and pharmaceutical sectors.
Workshop Structure
Introduction to Insilico Macromolecular Modeling & Docking:
- Overview of insilico methods for studying macromolecules and their interactions.
- Introduction to molecular modeling and docking techniques and their applications.
Molecular Visualization and Analysis:
- Introduction to software tools for visualizing macromolecular structures.
- Hands-on exercises on visualizing and analyzing protein and nucleic acid structures.
Homology Modeling:
- Understanding the concept of homology modeling.
- Selection of template structures and building homology models using bioinformatics tools.
Introduction to Docking:
- Basics of molecular docking and its role in drug discovery.
- Exploring different docking algorithms and scoring functions.
Ligand-Based Drug Design:
- Principles of ligand-based drug design and virtual screening.
- Hands-on exercises on using molecular descriptors and similarity-based approaches.
Protein-Ligand Docking:
- Introduction to protein-ligand docking techniques.
- Hands-on exercises on performing protein-ligand docking using software tools.
Analysis of Docking Results:
- Evaluation and interpretation of docking results.
- Visualizing and analyzing protein-ligand interactions.
Structure-Based Drug Design:
- Concepts and techniques of structure-based drug design.
- Applying docking data to optimize protein-ligand interactions.
Model Validation and Evaluation:
- Importance of model validation and evaluation in macromolecular modeling.
- Techniques for assessing the quality and reliability of models.
Advanced Topics in Docking:
- Exploring advanced concepts in molecular docking, such as induced fit and scoring function optimization.
- Hands-on exercises on advanced docking techniques.
Case Studies and Applications:
- Presenting real-world case studies showcasing the applications of insilico macromolecular modeling and docking.
- Discussion on the impact of computational methods in drug discovery and molecular design.
Practical Applications and Future Directions:
- Exploring emerging trends and future directions in insilico macromolecular modeling and docking.
- Discussion on the practical applications and potential challenges in the field.
Participant’s Eligibility
- Undergraduate or graduate degree in Biochemistry, Molecular Biology, Biophysics, or related fields.
- Professionals working in pharmaceuticals, biotechnology, or academic research.
- Individuals interested in computational biology, drug design, and molecular diagnostics.
Workshop Outcomes
- Proficiency in molecular modeling software
- Understanding of molecular interaction principles
- Capability to design and execute docking simulations
- Insight into the drug design process
- Skills in data analysis and interpretation for biological systems
Fee Structure
Standard Fee: INR 3,998 USD 100
Discounted Fee: INR 1999 USD 50
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- Computational Biologist
- Structural Biologist
- Pharmaceutical Research Scientist
- Biotechnological Research Scientist
- Academic Researcher in Molecular Biology
- Drug Discovery Specialist
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
Related Courses
In Silico Molecular Modeling …
IT Project Management
AI and Machine Learning in …
Genome-Wide Association …
Recent Feedbacks In Other Workshops
Very good
na
Contents were excellent