• Home
  • /
  • AI-Assisted Protein-Protein Interaction (PPI) Network Analysis for Biomarker Discovery
Biotechnology · Moderate · Live online

AI-Assisted Protein-Protein Interaction (PPI) Network Analysis for Biomarker Discovery

Explore Molecular Connections with AI-Assisted PPI Network Analysis for Advanced Biomarker Identification

1–3 Jul 20264:30 IST3 Days (60-90 minutes)Certificate
The live sessions are over · get the full recording

About This Course

This 3-day workshop is designed to introduce participants to Protein-Protein Interaction (PPI) network analysis and its role in biomarker discovery. Participants will learn how biological interaction data can be collected, visualized, analyzed, and interpreted using bioinformatics and AI-supported approaches.
The workshop will focus on understanding how proteins interact within biological systems, how these interactions form meaningful networks, and how researchers can identify important genes or proteins that may serve as potential biomarkers for disease diagnosis, prognosis, or therapeutic research.
Participants will gain hands-on exposure to tools such as STRING database, Cytoscape, CytoHubba, NetworkAnalyzer, and AI-assisted interpretation workflows.

Aim

Aim of the Workshop:
To help participants learn how to use PPI network analysis and AI-supported tools to identify hub genes/proteins and discover potential biomarkers for disease-related research.

Workshop Objectives

  • Learn the fundamentals of PPI networks and biomarker discovery
  • Explore public biological databases for protein interaction data
  • Perform hands-on network construction using STRING database
  • Visualize and analyze interaction networks using Cytoscape
  • Identify hub genes/proteins using CytoHubba
  • Understand network parameters such as degree, centrality, clustering, and connectivity
  • Use AI-assisted methods for biological interpretation and literature-based insights
Next: Day-by-day →

Workshop Structure

📅 Day 1: Introduction to PPI Networks & Biomarker Discovery

  • Introduction to genes, proteins, and biological interaction networks
  • Understanding Protein-Protein Interaction (PPI) networks
  • Importance of PPI networks in disease biology and systems biology
  • Role and types of biomarkers in healthcare, diagnostics, and therapeutic research
  • Overview of public bioinformatics databases for PPI analysis
  • Introduction to STRING database, confidence scores, and interaction evidence

🛠️ Hands-on:

  • Hands-on 1: Search disease-related genes/proteins in the STRING database
  • Hands-on 2: Create and interpret a basic PPI network using selected gene/protein lists

📅 Day 2: Network Visualization & Analysis Using Cytoscape

  • Introduction to Cytoscape for biological network visualization
  • Importing STRING-generated PPI networks into Cytoscape
  • Understanding nodes, edges, attributes, layouts, and network styles
  • Basics of network topology and key parameters: degree, centrality, clustering, and density
  • Using NetworkAnalyzer for PPI network statistics
  • Understanding hub proteins and their role in biomarker discovery

🛠️ Hands-on:

  • Hands-on 1: Import and visualize STRING-generated PPI networks in Cytoscape
  • Hands-on 2: Run NetworkAnalyzer and identify highly connected proteins

📅 Day 3: Hub Gene Identification & AI-Assisted Biomarker Interpretation

  • Introduction to hub genes/proteins and candidate biomarkers
  • Using CytoHubba for hub gene/protein identification
  • Ranking methods: Degree, MCC, MNC, Closeness, and Betweenness
  • Prioritizing candidate biomarkers from PPI networks
  • AI-assisted literature interpretation of selected hub genes/proteins
  • Best practices and limitations of computational biomarker discovery

🛠️ Hands-on:

  • Hands-on 1: Rank top hub genes/proteins using CytoHubba in Cytoscape
  • Hands-on 2: Prepare a mini biomarker discovery report using AI-assisted interpretation

🧰 Tools Covered:

  • STRING Database
  • Cytoscape
  • NetworkAnalyzer
  • CytoHubba
  • AI-assisted literature interpretation tools
  • Gene/protein datasets for biomarker discovery

Who Should Enrol?

  • Students from biotechnology, bioinformatics, life sciences, pharmacy, biomedical sciences, and computational biology
  • Ph.D. scholars working on disease biology, molecular biology, genomics, or biomarker research
  • Researchers and academicians interested in network biology and systems biology
  • Healthcare and life sciences professionals exploring bioinformatics tools
  • Beginners who want to learn practical PPI network analysis for research applications

Prerequisites

No advanced programming knowledge is required. A basic understanding of genes, proteins, and molecular biology will be helpful. Participants should have access to a laptop or desktop system with a stable internet connection.

Participants are also required to download and install Cytoscape on their system before the workshop so they can actively participate in the hands-on network visualization and analysis sessions.

Next: Dates →

Important Dates

Registration Ends

July 1, 2026
IST 3:30 IST

Workshop Dates

July 1, 2026 – July 3, 2026
IST 4:30 IST

Workshop Outcomes

After completing this 3-day workshop, participants will be able to construct, visualize, and analyze Protein-Protein Interaction networks and identify potential biomarker candidates using STRING, Cytoscape, CytoHubba, and AI-assisted interpretation methods.

Next: Mentor →

Meet Your Mentor(s)

Mentor Photo

Abhimanyu

Deprtment of Biotechnology

more


Next: Fees →

Recording fee

Participants in India

₹2,499

Participants outside India

$50

  • All session recordings
  • Study material
  • Certificate after completion
  • 1-year access

Get the recording

The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

Frequently asked questions

Will I get the recording?

Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).

What if I miss a live session?

Watch the recording in your dashboard and send your questions to the mentor through the support desk.

Do I get a certificate?

Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.

Which fee category applies to me?

Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!


(+91) 120-4781-217
WhatsApp +91 99581 61117

Registration open

More upcoming workshops

Live, mentor-led and certified. Dates and times in IST.

See all workshops
FREEDOM TO LEARN • 10% OFF All Courses & Workshops • Use Code: NANOINDIA10 • ⏳ Offer Ends In: Loading... • Learn Today. Lead Tomorrow. • Explore Programs →
FREEDOM TO LEARN • 10% OFF All Courses & Workshops • Use Code: NANOINDIA10 • ⏳ Offer Ends In: Loading... • Learn Today. Lead Tomorrow. • Explore Programs →
Support