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Bioinformatics, AI, and Machine Learning in Microbial Drug Development

Specificaties
Paperback, blz. | Engels
Elsevier Science | 2025
ISBN13: 9780443330322
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Elsevier Science e druk, 2025 9780443330322
€ 197,79
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Samenvatting

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.

Specificaties

ISBN13:9780443330322
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

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