Network analysis of Protein- Protein Interaction Data
Unlocking the Complexities of Protein Networks for Advanced Bioscience Research
Virtual (Google Meet)
Mentor Based
Moderate
3 Days (1.5 Hours per day )
9 -May -2025
8:00 PM IST
About
Protein-Protein Interaction Networks (PPIN) are crucial for understanding the functional organization and behavior of proteins in biological systems. These networks provide insights into cellular mechanisms, signaling pathways, and disease biology, offering a framework for hypothesis generation and experimental design.
In this 3-day workshop, participants will explore PPIN’s theoretical and practical aspects, from basic properties to advanced analytical techniques. Using tools like Cytoscape and PINA server, attendees will learn to represent, analyze, and interpret PPIN data. Real-world applications in health, medicine, and drug discovery will be highlighted, emphasizing the growing relevance of PPIN studies in addressing critical biological questions.
Aim
This workshop aims to introduce participants to the fundamentals of Protein-Protein Interaction Networks (PPIN) and their importance in understanding biological systems. Attendees will gain hands-on experience in network representation, topological analysis, and advanced tools to explore the dynamic properties of PPIN in health and medicine.
Workshop Objectives
- Understand the basics and importance of PPIN in biological research.
- Learn network representation and topological analysis techniques.
- Explore various data sources and databases for PPI analysis.
- Perform annotation enrichment and advanced analysis using Cytoscape.
- Apply PPIN concepts in health, medicine, and research innovation.
Workshop Structure
Day 1
- Introduction to Protein-Protein Interaction Networks (PPIN)
- Relevance of Protein-Protein Interaction Networks (PPIN) in health and medicine
- Properties of Protein-Protein Interaction Networks (PPIN)
Day 2
- Network representation and analysis tools
- Sources of PPI data, databases
- Topological Protein-Protein Interaction Networks (PPIN) analysis
- Annotation enrichment analysis
Day 3
- Advanced Cytoscape and its Modules
- PINA Server
- Protein Prompt
Requirement
Install latest Cytoscape in Pc
Participant’s Eligibility
- Undergraduate degree in Life Sciences, Biotechnology, Bioinformatics, or related fields.
- Postgraduates and researchers in computational biology, molecular biology, or systems biology.
- Professionals in the pharmaceutical, biotech, or healthcare sectors.
- Individuals keen on exploring network biology for research and industry applications.
Important Dates
Registration Ends
2025-05-09
Indian Standard Timing 7:00 PM
Workshop Dates
2025-05-09 to 2025-05-11
Indian Standard Timing 8:00 PM
Workshop Outcomes
- Ability to analyze and interpret PPIN data.
- Proficiency in using Cytoscape and PINA server.
- Understanding of network topology and annotation enrichment.
- Knowledge of key databases and data sources for PPI.
- Hands-on experience with PPIN tools and real-world applications.
Mentor Profile
Designation: Assistant Professor
Affiliation: Department of Bioinformatics, University of North Bengal
Dr. Subarna Thakur is an Assistant Professor in the Department of Bioinformatics at the University of North Bengal. She received her Ph.D. Degree in Botany from the University of North Bengal in 2014 and then worked as a Post Doc in various institutes like JNU, Bose Institute and IRHS, Angers, France for 4 Years. She is having more than 10 Years of Experience in the field of Computational Biology and Genomics. Her Area of Expertise includes NGS Data analysis, Transcriptomics, Network Biology. She is the author of 10 original research articles in high-impact peer-reviewed journals.
Fee Structure
Student
INR. 1399
USD. 50
Ph.D. Scholar / Researcher
INR. 1699
USD. 55
Academician / Faculty
INR. 2199
USD. 60
Industry Professional
INR. 2699
USD. 85
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- Research opportunities in systems biology and bioinformatics.
- Careers in pharmaceutical companies focusing on drug target discovery.
- Roles in academic and industrial research institutions.
- Data analyst positions in genomics and proteomics.
- Contribution to personalized medicine and computational biology.
- Opportunities in AI-driven biological data analysis and visualization.
Job Opportunities
- Bioinformatics Scientist
- Systems Biologist
- Data Analyst in Genomics
- Research Associate in Drug Discovery
- Computational Biologist
- Academic Researcher
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Very good
na
Contents were excellent