Hands-on International Course on AI-Assisted Protein-Protein Interaction (PPI) Network Analysis for Biomarker Discovery
Hands-on International Course on AI-Assisted Protein-Protein Interaction (PPI) Network Analysis for Biomarker Discovery is a Moderate-level, 3 Days (60-90 minutes) online program by NSTC.
- ModeRecorded Lectures
- LevelIntermediate
- Duration3 Days (60-90 minutes per session)
| Attribute | Detail |
|---|---|
| Format | Recorded Lectures |
| Level | Intermediate |
| Duration | 3 Days (60-90 minutes per session) |
| Certification | e-Certification + e-Marksheet |
| Fee | Free |
| Tools | STRING Database Cytoscape NetworkAnalyzer CytoHubba AI-assisted literature interpretation tools |
About the Hands-on International Course on AI-Assisted Protein-Protein Interaction (PPI) Network Analysis for Biomarker Discovery Course
This 3‑day intensive program introduces participants to protein‑protein interaction (PPI) network analysis and its pivotal role in biomarker discovery.
You will learn to collect, visualize, analyze, and AI‑interpret biological interaction data using leading bio‑informatics tools. Hands‑on labs with STRING, Cytoscape, CytoHubba, NetworkAnalyzer and AI‑driven literature mining ensure you can translate network insights into actionable disease biomarkers.
Program Highlights
• Comprehensive coverage of Hands from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Biotechnology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: STRING Database, Cytoscape, NetworkAnalyzer, CytoHubba
• Career-oriented training for academic and professional growth in Biotechnology
Course Curriculum
Module 1: Day 1 – Foundations of PPI Networks & Biomarker Discovery
- Understand genes, proteins and interaction networks
- Explore disease‑related biomarker concepts
- Navigate public PPI databases and the STRING platform
- Perform Hands‑on: Search disease‑related genes in STRING
Module 2: Day 2 – Network Visualization & Topology with Cytoscape
- Import STRING networks into Cytoscape
- Visualize nodes, edges, attributes and apply layouts
- Analyse topology: degree, centrality, clustering, density
- Run NetworkAnalyzer for comprehensive statistics
Module 3: Day 3 – Hub Gene Identification & AI‑Assisted Interpretation
- Apply CytoHubba to rank hub genes/proteins
- Compare ranking algorithms: Degree, MCC, MNC, Closeness, Betweenness
- Prioritize candidate biomarkers from ranked hubs
- Utilize AI tools for literature‑based biological interpretation
