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.
1. Introduction - p. xxv 2. Bioprospecting ethnopharmacological plants for endophytic fungal drug discovery - p. 1 3. Endophytic fungi in Himalayan medicinal plants: isolation procedures, diversity, and therapeutic applications - p. 27 4. Pharmaceutical applications of endophytic fungi: current successes and future prospects - p. 55 5. Endophytic fungi in anticancer drug development: Targeting tumor microenvironment - p. 75 6. Neuropharmacology of endophytic fungal bioactives: Promising leads for brain disorders - p. 109 7. Antimicrobial potential of endophytic fungal compounds: Fighting drug resistance - p. 133 8. Immunomodulatory properties of endophytic fungi: Implications for therapeutics - p. 147 9. Endophytic fungi and metabolic disorders: from diabetes to obesity - p. 157 10. Antioxidant and antiinflammatory endophytic fungal compounds for chronic diseases - p. 175 11. Endophytic fungi as sources of cardiovascular drug leads - p. 201 12. Commercialization of endophytic fungus–derived therapeutics: Opportunities and challenges - p. 233 13. Clinical trials and commercialization of endophytic fungal–derived therapeutics - p. 251 14. Leveraging endophytic fungi and multiomics integration for targeted drug discovery - p. 277 15. Endophytic fungi and age-related diseases: Potential for geriatric therapeutics - p. 295 16. Endophytic fungi and natural insecticides: Eco-friendly alternatives for pest control - p. 315 17. Endophytic fungal derived antivirals: Expanding the armamentarium against emerging pathogens - p. 327 18. Bioprospecting extremophiles: Endophytic fungi from extreme environments - p. 339 19. Nanotechnology and endophytic fungi: Advancements in drug delivery and targeting - p. 355 20. Bioinformatics and omics tools in endophytic fungal research - p. 381 21. Genetic engineering of endophytic fungi for enhanced bioactivity - p. 403 22. Metabolomics and natural product profiling of endophytic fungi - p. 419 23. Big data and machine learning in endophytic drug discovery: Accelerating innovations - p. 441 24. Glossary - p. 463 25. Index - p. 465
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.
1. Introduction - p. xxv 2. Bioprospecting ethnopharmacological plants for endophytic fungal drug discovery - p. 1 3. Endophytic fungi in Himalayan medicinal plants: isolation procedures, diversity, and therapeutic applications - p. 27 4. Pharmaceutical applications of endophytic fungi: current successes and future prospects - p. 55 5. Endophytic fungi in anticancer drug development: Targeting tumor microenvironment - p. 75 6. Neuropharmacology of endophytic fungal bioactives: Promising leads for brain disorders - p. 109 7. Antimicrobial potential of endophytic fungal compounds: Fighting drug resistance - p. 133 8. Immunomodulatory properties of endophytic fungi: Implications for therapeutics - p. 147 9. Endophytic fungi and metabolic disorders: from diabetes to obesity - p. 157 10. Antioxidant and antiinflammatory endophytic fungal compounds for chronic diseases - p. 175 11. Endophytic fungi as sources of cardiovascular drug leads - p. 201 12. Commercialization of endophytic fungus–derived therapeutics: Opportunities and challenges - p. 233 13. Clinical trials and commercialization of endophytic fungal–derived therapeutics - p. 251 14. Leveraging endophytic fungi and multiomics integration for targeted drug discovery - p. 277 15. Endophytic fungi and age-related diseases: Potential for geriatric therapeutics - p. 295 16. Endophytic fungi and natural insecticides: Eco-friendly alternatives for pest control - p. 315 17. Endophytic fungal derived antivirals: Expanding the armamentarium against emerging pathogens - p. 327 18. Bioprospecting extremophiles: Endophytic fungi from extreme environments - p. 339 19. Nanotechnology and endophytic fungi: Advancements in drug delivery and targeting - p. 355 20. Bioinformatics and omics tools in endophytic fungal research - p. 381 21. Genetic engineering of endophytic fungi for enhanced bioactivity - p. 403 22. Metabolomics and natural product profiling of endophytic fungi - p. 419 23. Big data and machine learning in endophytic drug discovery: Accelerating innovations - p. 441 24. Glossary - p. 463 25. Index - p. 465
