Table of Contents

Workshop Registration End Date :2025-04-03

Virtual Workshop

Workshop on Compound-Target Interaction Network Design and Structure

Bridging Bioinformatics and Therapeutics: Empowering Innovation through Interaction Networks

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Days (1.5 hours per day)

Start Date
3 -April -2025

Time
3:00 PM IST

About

The workshop on Compound-Target Interaction Network Design and Structure is tailored for students, researchers, and industry professionals in biotechnology, pharmaceuticals, and related fields. It highlights the application of bioinformatics tools in constructing and analyzing interaction networks, with a focus on understanding compound-target relationships, system biology insights, and therapeutic discovery. Participants will acquire theoretical knowledge and practical expertise in leveraging bioinformatics for compound-target interaction studies.

Aim

To equip participants with the skills and understanding required to design, construct, and analyze compound-target interaction networks, fostering innovation in drug discovery and therapeutic research.

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Workshop Objectives

Familiarize participants with the concept and importance of compound-target interaction networks in modern bioscience research.
Provide hands-on training with leading bioinformatics tools for constructing and analyzing interaction networks.
Develop the ability to interpret complex biological interaction data for research and clinical applications.
Discuss the integration of computational approaches in drug development and personalized medicine.

Workshop Structure

Day 1: Fundamentals and Target Data Retrieval
Introduction to Compound-Target Interaction Networks

Overview and significance in drug discovery and system biology
Briefing on workshop agenda and outcomes

Target Data Retrieval

Exploring compound-target interaction databases (e.g., PubChem, DrugBank)
Techniques for efficient data filtering and organization

Hands-On Session

Practical walkthrough on retrieving and processing target data using online databases

Day 2: Network Construction and Analysis
Building Compound-Target Networks

Introduction to tools like Cytoscape and STRING
Data integration and visualization techniques

Network Analysis Using CytoNCA

Key metrics: degree centrality, betweenness centrality, and clustering coefficient
Identifying critical nodes and hub targets

Hands-On Session

Practical exercises on constructing and analyzing networks
Interpretation of network properties and biological relevance

Day 3: Functional Enrichment and Network Visualization
Pathway and Gene Ontology Analysis

Introduction to Gene Ontology (GO) terms and pathway analysis concepts
Importance of functional enrichment in drug discovery

Functional Enrichment with ClueGO

Setting up and using the ClueGO plugin in Cytoscape
Analysis and interpretation of enriched GO terms and pathways

Advanced Visualization Techniques

Enhancing network aesthetics and information clarity
Integrating functional enrichment results with networks

Hands-On Session

Practical demonstrations on GO and pathway analysis
Creating publication-ready network visualizations

Requirements

Hardware: Windows PC or laptop with stable internet connectivity
Software:
- Cytoscape (latest version)
- Plugins: ClueGO, CytoNCA
- Additional tools as required (e.g., STRING database access)

Participant’s Eligibility

Undergraduate or postgraduate degree in Biotechnology, Bioinformatics, Molecular Biology, Pharmaceutical Sciences, or related fields.
Professionals from biotechnology, pharmaceutical, or computational biology domains.
Individuals keen on computational approaches to drug discovery and system biology.

Important Dates

Registration Ends

2025-04-03
Indian Standard Timing 2:00 PM

Workshop Dates

2025-04-03 to 2025-04-05
Indian Standard Timing 3:00 PM

Workshop Outcomes

Mastery of compound-target interaction network concepts.
Hands-on expertise in bioinformatics tools.
Ability to analyze and interpret complex interaction networks.
Skills to perform functional enrichment for drug discovery.
Proficiency in creating high-quality network visualizations.

Mentor Profile

Name: Ms. Aaysha Gupta
Designation: Professional researcher
Affiliation: Jaypee Institute of Information Technology

Ms. Aaysha Gupta is a Research Scholar in the Biotechnology Department at Jaypee Institute of Information Technology. She is pursuing a PhD in Medical Biotechnology, with a focus on exploring the anti-aging potential of Indian medicinal plants. Ms. Gupta has previously held the positions of Editor and Event Organizer at Microbioz Journals for two years. She brings over three years of dedicated research experience in the field of Medical Biotechnology, specializing in muscle aging.

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. 84

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