Predicting 3D Structures of Proteins and Nucleic Acids
Decode the Blueprint of Life: Predicting Protein Structures for Tomorrow’s Drug Discoveries.
Virtual (Google Meet)
Mentor Based
Beginners
1 Day (1.5 Hours per day )
15 -February -2025
3:00 PM IST
About
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.
Workshop 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.
Workshop Structure
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.
Participant’s Eligibility
• 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.
Important Dates
Registration Ends
2025-02-15
Indian Standard Timing 2:00 PM
Workshop Dates
2025-02-15 to 2025-02-15
Indian Standard Timing 3:00 PM
Workshop 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.
Mentor Profile
Designation: DST INSPIRE Faculty
Affiliation: All India Institute of Medical Sciences, New Delhi
Dr. Rini Chaturvedi is a DST Inspire Faculty in the Department of Microbiology at the All India Institute of Medical Sciences, New Delhi. She received her Ph.D. Degree in Structural parasitology from ICGEB, New Delhi University in 2021 and earned her postdoctoral from university of ICGEB, New Delhi. She is having 13 Years of Experience in the field of Molecular medicine. Her Area of Expertise includes: Structural Parasitology, Drug Discovery, Public Health, Immunology, epigenetics. She is the author of 21 research articles, DST INSPIRE Faculty grant recipient, Young Scientist award, etc.
Fee Structure
Student
INR. 599
USD. 20
Ph.D. Scholar / Researcher
INR. 999
USD. 30
Academician / Faculty
INR. 1399
USD. 40
Industry Professional
INR. 1999
USD. 65
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
1. Computational Biologist in drug discovery research.
2. Structural Bioinformatician in genomics or proteomics projects.
3. Research Scientist in pharmaceutical and biotech companies.
4. Bioinformatics Analyst focusing on protein modeling.
5. Academic researcher or lecturer in computational biology and bioinformatics.
6. Specialist in molecular docking and drug design tools.
Job Opportunities
• Bioinformatics Scientist
• Structural Biologist
• Computational Biologist
• Molecular Modeler
• Protein Design Researcher
• Drug Discovery Scientist
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great knowledge about topic.