Bioinformatics, AI, and Machine Learning in Microbial Drug Development
Published on 7. November 2025
330 pages
978-0-443-33033-9 (ISBN)
Description
Bioinformatics, AI, and Machine Learning in Microbial Drug Development provides a comprehensive framework for integrating diverse fields like microbiology, bioinformatics, artificial intelligence, and machine learning, allowing readers to navigate complex interdisciplinary challenges effectively. This title offers an in-depth exploration of how these technologies are seamlessly integrated into pharmaceutical microbiology. The book, divided into 4 parts and 19 chapters, provides cutting-edge insights, practical guidance, and case studies. It emphasizes the importance of staying current with technological advancements, understanding ethical and regulatory issues, and optimizing drug production, making it an invaluable resource for industry professionals.
- Explores the intersection of microbes and cutting-edge technology, revolutionizing drug discovery
- Delves into the possibilities to using bioinformatics to create microbial diversity, optimize drug production, and navigate ethical considerations
- Serves as a response to the growing demand for a holistic guide that integrates diverse fields such as microbiology, bioinformatics, artificial intelligence, and machine learning in the context of drug discovery and production
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Vagish Dwibedi | Nancy George | Santosh Kumar Rath
Bioinformatics, AI, and Machine Learning in Microbial Drug Development
Book
11/2025
Academic Press
€161.50
Shipment within 15-20 days
Content
A. Foundations of Microbial Drug Factories1. Microbial Diversity and Its Relevance to Drug Discovery2. Isolation and Cultivation of Novel Microorganisms for Drug Prospecting3. Natural Product Discovery and Characterization4. Synthetic Biology and Genetic Engineering in Pharmaceutical BioprospectingB. Advanced Techniques and Technologies5. Multi-Omics Data Integration for Drug Discovery6. Microbial Biotechnology in the Era of Big Data and AI7. Bioinformatics Tools for Mining Microbial Genomes and Metabolites8. Omics Technologies in Microbial Drug Factories9. Machine Learning Applications in Microbial Fermentation and Drug DiscoveryC. Drug Development and Process Optimization10. High-Throughput Screening in Microbial Drug Development11. Fermentation Process Optimization for Pharmaceutical Production12. Leveraging Artificial Intelligence for Drug Development and Drug Discovery13. Metabolic Engineering for Drug Production and Drug Discovery14. Overcoming Challenges in Microbial Drug Factory Scale-UpD. Management, Ethics, and Future Trends15. Regulatory and Ethical Considerations in Microbial Drug Production16. Intellectual Property and Patents in Microbial Drug Development17. Overcoming Challenges in Microbial Drug Factory Scale-Up18. Sustainability and Green Practices in Microbial Drug Factories19. Epilogue: Microbes, Technology, and the Future of Drug Discovery
