Swapnil Kajale – författare

Navigating Endophytic Research for Next-Generation Therapeutics explores the evolving field of endophytic fungal research and applications in combating diseases, addressing environmental challenges, and in shaping the future of therapeutics. The book starts off with a discussion on the biodiversity and biogeography of endophytic fungal communities and describes the bioprospecting of endophytes for drug discovery. In addition, it covers the therapeutic application of endophytic fungi to treat and manage specific diseases and investigates the innovative use of technologies such as genome editing, genetic engineering for enhanced bioactivity, multi-omics-based exploration, and the use of big data and machine learning in endophytic drug discovery.Featuring contributions from experts across fields like mycology, pharmacology, biotechnology, and environment science, this comprehensive, practical, and insightful resource guides those engaged in endophytic fungal research and its transformative potential in next-generation therapeutics.Explores diverse research techniques for isolating, culturing, and characterizing endophytic fungiDemonstrates how endophytic fungi have been successfully utilized in drug discovery and therapeutic applicationsRecognizes the importance of responsible research practices and ethical considerations in bioprospecting and drug development

Navigating Endophytic Research for Next-Generation Therapeutics explores the evolving field of endophytic fungal research and applications in combating diseases, addressing environmental challenges, and in shaping the future of therapeutics. The book starts off with a discussion on the biodiversity and biogeography of endophytic fungal communities and describes the bioprospecting of endophytes for drug discovery. In addition, it covers the therapeutic application of endophytic fungi to treat and manage specific diseases and investigates the innovative use of technologies such as genome editing, genetic engineering for enhanced bioactivity, multi-omics-based exploration, and the use of big data and machine learning in endophytic drug discovery.Featuring contributions from experts across fields like mycology, pharmacology, biotechnology, and environment science, this comprehensive, practical, and insightful resource guides those engaged in endophytic fungal research and its transformative potential in next-generation therapeutics.- Explores diverse research techniques for isolating, culturing, and characterizing endophytic fungi- Demonstrates how endophytic fungi have been successfully utilized in drug discovery and therapeutic applications- Recognizes the importance of responsible research practices and ethical considerations in bioprospecting and drug development

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 discoveryDelves into the possibilities to using bioinformatics to create microbial diversity, optimize drug production, and navigate ethical considerationsServes 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