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 provides an in-depth exploration of how bioinformatics, artificial intelligence, and machine learning are seamlessly integrated into pharmaceutical microbiology. In 4 parts and 19 chapters the book provides cutting-edge insights, practical guidance, and case studies, offering a comprehensive view for the reader to stay current with technology, understanding ethical/regulatory issues, and optimizing drug production. "Bioinformatics, AI, and Machine Learning in microbial drug development" offers practical insights into leveraging these advanced technologies for enhanced drug discovery and production, making it an invaluable resource for professionals looking to stay at the forefront of the industry.

• 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 to 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