New Year Offer End Date: 30th April 2024
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Program

Workshop on Network Pharmacology Using Bioinformatics Tools

Bridging Bioinformatics and Pharmacology: Decoding Drug Networks for Tomorrow’s Therapeutics

Skills you will gain:

About Program:

The Workshop on Network Pharmacology Using Bioinformatics Tools is designed for students, researchers, and professionals in the biotech, pharma, and life sciences sectors. The workshop focuses on the convergence of pharmacology and bioinformatics, emphasizing the importance of network-based approaches in understanding drug interactions, target identification, and system-level biological responses. Participants will gain insights into cutting-edge tools and methodologies that are transforming drug discovery and development.

Aim: To empower participants with the knowledge and practical skills necessary to leverage bioinformatics tools in the exploration of network pharmacology, fostering advancements in drug discovery and personalized medicine.

Program Objectives:

  • Introduce the concepts of network pharmacology and its role in modern drug discovery.
  • Provide hands-on experience with bioinformatics tools and databases used in network pharmacology.
  • Equip participants with the ability to analyze and interpret complex biological networks and their implications in pharmacology.
  • Facilitate discussions on the integration of bioinformatics in pharmaceutical research and development.

What you will learn?

Day 1: Introduction and Target Retrieval

Introduction to Network Pharmacology

  • Definition and significance in drug discovery
  • Overview of the workshop modules

Target Retrieval

  • Methods for identifying drug targets
  • Databases and resources for target retrieval 

HandsOn Session: Retrieving Targets

  • Practical session on retrieving targets using various databases
  • Filtering and organizing obtained data

Day 2: Hands on session: Network Construction and Analysis

Constructing Networks

  • Building networks using Cytoscape
  • Importing and visualizing data

Network Analysis with CytoNCA

  • Introduction to CytoNCA for network centrality analysis
  • Key concepts: degree centrality, betweenness centrality, etc.
  • Analyzing network properties using CytoNCA
  • Identifying key nodes and hub proteins

Day 3: Hands on Session: Functional Enrichment and Visualization

GO and Pathway Analysis

  • Basics of Gene Ontology (GO) and pathway analysis

ClueGO for Functional Enrichment

  • Introduction to ClueGO plugin in Cytoscape
  • Setting up and configuring ClueGO

Advanced Visualization Techniques

  • Enhancing network visualizations in Cytoscape
  • Integrating and displaying GO and pathway analysis results

Requirements:

  • Equipment: Windows PC with a good internet connection
  • Software: Cytoscape installed with ClueGO and CytoNCA plugins

Mentor Profile

Ms. Aaysha Gupta
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Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

2024Certfiacte

Intended For :

  • Educational Background: Graduates, postgraduates, and PhD candidates in Biotechnology, Pharmacology, Life Sciences, Bioinformatics, or related fields.
  • Professional Background: Academicians, industry professionals, and R&D scientists in biotechnology, pharmaceuticals, drug discovery, and bioinformatics.
  • Basic Knowledge: Fundamental understanding of molecular biology, pharmacology, and bioinformatics; familiarity with computational tools is advantageous.
  • Interest and Motivation: Individuals eager to enhance their skills in network pharmacology and apply bioinformatics tools in research or professional work.

Career Supporting Skills

Network Pharmacology Concepts Pathway & Systems Biology Analysis Pharmacogenomics Omics Data Analysis Pharmacogenomics

Program Outcomes

  • Proficiency in using bioinformatics tools for network pharmacology analysis.
  • Understanding the role of network pharmacology in drug discovery and personalized medicine.
  • Ability to construct and analyze biological networks related to pharmacological targets.
  • Enhanced skills in data interpretation and hypothesis generation in drug research.
  • Preparedness for careers or advanced research in bioinformatics, pharmacology, and related fields.