Learn how AI integrates with network pharmacology to revolutionize drug discovery.
Are you ready to explore the future of drug discovery? This course, “AI in Network Pharmacology and Modern Drug Discovery,” is designed to take you on an exciting journey through the cutting-edge intersection of artificial intelligence (AI), systems biology, and pharmacology.
What you’ll learn
- The role of AI tools and technologies in identifying novel drug targets and candidates..
- Fundamentals of Network Pharmacology and its significance in modern drug discovery..
- Protein-Protein Interaction Networks and their importance in disease complexity..
- Advanced concepts like Polypharmacology, Drug Target Interaction Prediction, and Combination Drug Therapy..
- Hands-on demos and case studies showcasing real-world applications of AI in drug discovery..
- Future trends, ethical considerations, and regulatory frameworks shaping this innovative field..
Course Content
- Introduction –> 3 lectures • 5min.
- Traditional Drug Discovery & Emergence of Network Pharmacology –> 2 lectures • 4min.
- Network Based Drug Discovery –> 4 lectures • 6min.
- Identifying Disease complexity and Polypharmacology –> 2 lectures • 5min.
- Drug Target Identification and Prediction –> 2 lectures • 4min.
- Network Based Drug Repositioning –> 1 lecture • 1min.
- Combination Drug therapy and synergistic drug combinations –> 3 lectures • 6min.
- Computational methods –> 2 lectures • 1hr 47min.
- Applications, challehges and future Directions of Network Pharmacology –> 2 lectures • 10min.
- Introduction to Artificial Intelligence –> 3 lectures • 24min.
- Ethical consideration and regulatory framwork –> 3 lectures • 15min.
- Network pharmacology data sources and automated hypothesis generation –> 2 lectures • 7min.
- AI Driven experimental validation –> 1 lecture • 2min.
- Case studies and hands on demo –> 1 lecture • 8min.
Requirements
Are you ready to explore the future of drug discovery? This course, “AI in Network Pharmacology and Modern Drug Discovery,” is designed to take you on an exciting journey through the cutting-edge intersection of artificial intelligence (AI), systems biology, and pharmacology.
In this course, you’ll discover how AI is transforming the way we approach complex biological systems and revolutionizing drug development. From identifying novel drug targets to predicting off-target effects, you’ll learn how network pharmacology and AI work together to create safer, more effective therapies for challenging diseases.
What You’ll Learn:
- AI Integration in Pharmacology: Understand how AI tools and techniques are applied to analyze complex biological networks.
- Drug Target Discovery: Learn how AI predicts drug-target interactions and identifies novel therapeutic targets.
- Multi-Target and Combination Therapy: Explore how AI enhances the design of drugs targeting multiple pathways and synergistic drug combinations.
- Drug Repurposing: Discover how AI accelerates the process of finding new uses for existing drugs.
- Biological Network Analysis: Gain insights into constructing and analyzing protein-protein interaction networks, signaling pathways, and disease mechanisms.
- Predicting Efficacy and Toxicity: Master the application of AI in predicting drug effects and minimizing risks.
Why Enroll?
This course is perfect for students, researchers, and professionals in the fields of pharmacology, bioinformatics, and drug development who want to stay ahead of the curve. Whether you are a beginner curious about AI’s potential in healthcare or a seasoned scientist looking to deepen your expertise, this course will equip you with the knowledge and skills to thrive in the era of AI-driven medicine.
Join us today and transform the way you think about drug discovery!