Protein Structure Prediction and Validation in Structural Biology
Unlocking the Secrets of Proteins: Predict and Validate with Precision
About This Course
The “Protein Structure Prediction and Validation in Structural Biology” workshop offers an in-depth exploration into the methodologies and technologies used to determine the three-dimensional structures of proteins. This workshop delves into various computational approaches such as homology modeling, threading, and ab initio modeling, emphasizing the importance of structural accuracy and validation techniques. Participants will learn about the significance of protein structures in understanding biological functions and developing therapeutic interventions.
Throughout this 3- days workshop, participants will engage in hands-on sessions, utilizing advanced software and databases to predict protein structures and validate their accuracy through techniques such as X-ray crystallography and NMR spectroscopy. The curriculum is designed to provide a comprehensive understanding of the structural biology field, fostering the skills required for both academic research and industrial applications. By the end of the workshop, participants will be proficient in using bioinformatics tools and understanding the practical applications of protein structure prediction in drug discovery and biotechnology.
Aim
To equip participants with the knowledge and skills necessary to predict and validate protein structures, leveraging cutting-edge computational tools and techniques in structural biology.
Workshop Objectives
- Understand the fundamental concepts of protein structure prediction.
- Gain proficiency in using computational tools for protein modeling.
- Learn techniques for validating protein structures.
- Explore the applications of protein structure prediction in drug discovery.
- Develop practical skills through hands-on experience with relevant software and databases.
Workshop Structure
Module 1
- Protein and their interaction with ligand
- Overview of protein 3D structure file format
- Overview of small molecule databases
Tools:
- PubChem/Drug Bank/Zinc Database
- Protein Data Bank (PDB)/PDBSum
Module 2
- Comparative modeling/homology modeling
- Protein 3D structure Prediction based on homology
- Ab initio structure prediction
Tools: Modeller & Online tools
Module 3
- Structure validation
- Protein Structure validation
- Ramachandran plot
Tools: SAVES server
Who Should Enrol?
- Undergraduate degree in Biochemistry, Molecular Biology, Bioinformatics, or related fields.
- Professionals in biotechnology, pharmaceutical, or research industries.
- Individuals with a keen interest in structural biology and computational biology.
Workshop Outcomes
- Proficiency in predicting protein structures using various computational methods.
- Ability to validate protein structures through experimental techniques.
- Understanding the role of protein structures in biological processes and drug design.
- Hands-on experience with bioinformatics tools and databases.
- Enhanced skills for careers in structural biology and related fields.
Fee Structure
Standard: ₹3,998 | $100
Discounted: ₹1999 | $50
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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