Predicting 3D Structures of Proteins and Nucleic Acids
Decode the Blueprint of Life: Predicting Protein Structures for Tomorrow’s Drug Discoveries.
Skills you will gain:
About Program:
This intensive one-day hands-on workshop introduces participants to the core concepts and methodologies for predicting protein and nucleic acid structures. Participants will delve into advanced computational techniques such as homology modeling, ab initio prediction, and molecular dynamics simulations, gaining insights into how these approaches are used in drug discovery and structural genomics. Through practical exercises, attendees will learn to use cutting-edge tools and algorithms for structure determination and visualization.
The workshop also covers the interpretation of structural data, providing a strong foundation in structural bioinformatics. Attendees will gain an overview of tools like Chimera, which enable molecular visualization and analysis. Whether you are a researcher or a student, this workshop is an excellent opportunity to gain hands-on experience and stay updated on the latest advancements in computational biology and drug design.
Aim: This workshop aims to equip participants with the theoretical and practical knowledge needed to predict three-dimensional structures of proteins and nucleic acids, emphasizing computational tools for structural bioinformatics and drug discovery applications.
Program Objectives:
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Understand protein structure determination techniques.
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Predict secondary and tertiary protein structures using homology modeling tools.
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Learn ab initio approaches for nucleic acid and protein prediction.
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Gain hands-on experience with molecular visualization tools like Chimera.
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Explore applications of molecular dynamics in drug discovery.
What you will learn?
Introduction and Overview
• Importance of 3D structure prediction in research and drug discovery.
• Overview of tools and techniques to be covered.
Conceptual Session: Fundamentals of Protein Structure Prediction
• Protein structure levels: Primary, secondary, tertiary, and quaternary.
• Overview of homology modeling and ab initio prediction.
• Key computational tools: Basic principles and workflows.
Hands-On Session 1: Homology Modeling
• Step-by-step demonstration using a popular tool (e.g., SWISS-MODEL or MODELLER).
• Practical exercise: Predicting a protein structure based on a given sequence.
• Tips for troubleshooting and interpreting results.
Hands-On Session 2: Visualization with Chimera
• Introduction to Chimera for molecular visualization.
• Practical exercise: Visualizing the predicted protein structure.
• Annotation and analysis of secondary and tertiary structures.
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
• Undergraduate or postgraduate degree in Biotechnology, Bioinformatics, Biochemistry, or related fields.
• Professionals in pharmaceutical research, structural genomics, or computational biology.
• Individuals keen on exploring drug discovery and bioinformatics techniques.
Career Supporting Skills
Program Outcomes
• Mastery of tools for protein and nucleic acid structure prediction.
• Ability to analyze and interpret structural data for drug discovery.
• Proficiency in homology modeling and molecular dynamics simulations.
• Hands-on experience with molecular visualization tools.
• Enhanced understanding of structural bioinformatics applications.