Workshop on Compound-Target Interaction Network Design and Structure
Bridging Bioinformatics and Therapeutics: Empowering Innovation through Interaction Networks
Skills you will gain:
About Program:
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.
Program 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.
What you will learn?
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)
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
- 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.
Career Supporting Skills
Program 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.