Network analysis of Protein- Protein Interaction Data
Live Registration
BATCH #24
03Seats Left
92% Booked
Registration Closed
Course Overview
Workshop Registration End Date :2025-05-09
Program Syllabus
Module 1
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.
Module 2
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Network analysis of Protein- Protein Interaction Data
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
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.
Module 4
Workshop Structure
Module 5
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)
Module 6
Day 2
- Network representation and analysis tools
- Sources of PPI data, databases
- Topological Protein-Protein Interaction Networks (PPIN) analysis
- Annotation enrichment analysis
Module 7
Day 3
- Advanced Cytoscape and its Modules
- PINA Server
- Protein Prompt
Requirement
Install latest Cytoscape in Pc
Module 8
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.
Module 9
Important Dates
Module 10
Registration Ends
2025-05-09
Indian Standard Timing 7:00 PM
Module 11
Workshop Dates
2025-05-09 to 2025-05-11
Indian Standard Timing 8:00 PM
Module 12
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.
Module 13
![]()
Mentor Profile
DR. SUBARNA THAKUR
Assistant Professor
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, . . .
Module 14
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 18
Industry Professional
INR. 2699
USD. 85
List of Currencies
Module 19
FOR QUERIES, FEEDBACK OR ASSISTANCE
Email : info@nstc.in
Module 20
![]()
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 21
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.
Module 22
Job Opportunities
- Bioinformatics Scientist
- Systems Biologist
- Data Analyst in Genomics
- Research Associate in Drug Discovery
- Computational Biologist
- Academic Researcher
Module 25
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
×
Module 26
![]()
![]()
![]()
![]()
Related Courses
AI-Powered Drug Discovery with …
Machine Learning Approaches …
Python/R for Bioinformatics: …
Metagenomic Analysis of AMR …
Module 27
Machine Learning for Optimizing Lipid Nanoparticles (LNPs) in mRNA & Gene Delivery
Machine Learning for Optimizing Lipid Nanoparticles (LNPs) in mRNA & Gene Delivery
Surveillance and Data Analytics of Antimicrobial Resistance (AMR) in Public Health
View All Feedbacks
Recent Feedbacks In Other Workshops
none
Instant Access
Need Guidance?
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.