10/03/2024

Registration closes 10/03/2024
Virtual Workshop

Workshop on Network Pharmacology Using Bioinformatics Tools

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

  • Mode: Virtual (Google Meet)
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Days (1.5 Hours per Day)
  • Starts: 3 October 2024
  • Time: 3:00 PM IST

About This Course

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.

Workshop 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.

Workshop Structure

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

Who Should Enrol?

  • 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.

Important Dates

Registration Ends

10/03/2024
IST 2:00 PM

Workshop Dates

10/03/2024 – 10/05/2024
IST 3:00 PM

Workshop 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.

Fee Structure

Student

₹1399 | $50

Ph.D. Scholar / Researcher

₹1699 | $55

Academician / Faculty

₹2199 | $60

Industry Professional

₹2699 | $85

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
AI for Psychological and Behavioral Analysis

Good

Dr srilatha Ande srilatha.ammu12@gmail.com
★★★★★
Scientific Paper Writing: Tools and AI for Efficient and Effective Research Communication

Excellent delivery of course material. Although, we would have benefited from more time to practice with the plethora of presented resources.

Kevin Muwonge
★★★★★
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

Thank you very much, but it would be better if you could show more examples.

Qingyin Pu
★★★★★
AI-Assisted Composite Materials Design

Excellent Presentation and Guidance in AI assisted design of composite materials by the mentor.

RAJKUMAR GUNTI rajkumar.gunti@gmail.com

View All Feedbacks →

Stay Updated


Join our mailing list for exclusive offers and course announcements

Ai Subscriber