Bioinformatics, AI, and Machine Learning in Microbial Drug Development (eBook, ePUB)

Redaktion: Dwibedi, Vagish; Kajale, Swapnil; Rath, Santosh Kumar; George, Nancy

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 330
• Erscheinungstermin: 1. September 2025
• Englisch
• ISBN-13: 9780443330339
• Artikelnr.: 75840889

Inhaltsangabe

A. Foundations of Microbial Drug Factories
1. Microbial Diversity and Its Relevance to Drug Discovery
2. Isolation and Cultivation of Novel Microorganisms for Drug Prospecting
3. Natural Product Discovery and Characterization
4. Synthetic Biology and Genetic Engineering in Pharmaceutical
Bioprospecting
B. Advanced Techniques and Technologies
5. Multi-Omics Data Integration for Drug Discovery
6. Microbial Biotechnology in the Era of Big Data and AI
7. Bioinformatics Tools for Mining Microbial Genomes and Metabolites
8. Omics Technologies in Microbial Drug Factories
9. Machine Learning Applications in Microbial Fermentation and Drug
Discovery
C. Drug Development and Process Optimization
10. High-Throughput Screening in Microbial Drug Development
11. Fermentation Process Optimization for Pharmaceutical Production
12. Leveraging Artificial Intelligence for Drug Development and Drug
Discovery
13. Metabolic Engineering for Drug Production and Drug Discovery
14. Overcoming Challenges in Microbial Drug Factory Scale-Up
D. Management, Ethics, and Future Trends
15. Regulatory and Ethical Considerations in Microbial Drug Production
16. Intellectual Property and Patents in Microbial Drug Development
17. Overcoming Challenges in Microbial Drug Factory Scale-Up
18. Sustainability and Green Practices in Microbial Drug Factories
19. Epilogue: Microbes, Technology, and the Future of Drug Discovery