AI vs Molecular Docking – What’s Changing in Drug Discovery? | Explained Simply скачать в хорошем качестве

AI vs Molecular Docking – What’s Changing in Drug Discovery? | Explained Simply

In this episode of the Swalife Podcast Series, Dr. Pravin Badhe explains the key differences between Artificial Intelligence–driven drug discovery and traditional molecular docking approaches used in pharmaceutical research. For decades, molecular docking has been one of the most widely used computational tools for predicting how drugs bind to biological targets. However, the rapid development of Artificial Intelligence, machine learning, and predictive analytics is transforming how scientists discover and design new medicines. In this video, we break down the topic in a simple and practical way for students, researchers, and professionals in pharmacy, biotechnology, and life sciences. In this video you will learn: • What molecular docking is and how it works • Limitations of traditional docking approaches • How AI is transforming drug discovery • AI vs docking – key differences explained simply • Real-world impact on drug development and pharmaceutical research • The future of AI-driven drug discovery This discussion is part of the Swalife initiative to build AI-powered research tools and educational programs in drug discovery, network pharmacology, and precision medicine. About the Speaker Dr. Pravin Badhe Founder & CEO – Swalife Biotech Researcher in AI-driven drug discovery, network pharmacology, and personalized herbal medicine. • AI in Drug Discovery • Network Pharmacology • Bioinformatics & Chemoinformatics • Pharmaceutical Research • Biotechnology Innovation Hashtags #AIDrugDiscovery #MolecularDocking #DrugDiscovery #ArtificialIntelligence #NetworkPharmacology #PharmaceuticalResearch #Biotechnology #SwalifeBiotech