While bacterial infections and viruses have captured the attention of the world, fungal diseases also pose a major threat to public health. With the rise in incidences of fungal infections and the reduced efficacy of antifungal drugs, there is an urgent need for the development of novel antifungal agents.
Explore the fascinating world of fungal pathogens and opportunistic species with Hongmin Li of The University of Arizona, Tucson and Sean Ekins of Collaborations Pharmaceuticals, Inc as they discuss two different, successful, and innovative approaches to antifungal drug discovery. Register now to find out how computational machine learning is currently being applied to antifungal drug discovery and how to identify alternative targets to overcome drug resistance in fungi.
This ACS Webinar is moderated by Rebecca E. Moore of ACS Publications and is co-produced with ACS Publications.
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What You Will Learn
- The importance of studying fungal pathogens and an introduction to several opportunistic fungal species
- How computational machine learning can be used in antifungal drug discovery
- How to search for alternative targets in fungi to overcome drug resistance
Additional Resources
- Call for Papers: Fungal Pathogens – Life Cycle, Infection, Host Immunity and Drug Discovery: ACS Infectious Diseases, the Journal of Medicinal Chemistry, and ACS Medicinal Chemistry Letters are welcoming submissions to a Virtual Special Issue showcasing the latest advancements in fungal infection research and intervention/therapeutic strategies to curb fungal infections. The submission deadline is April 30, 2024.
Co-Produced With
What an attendee said about this ACS Webinar!
Great presentations. Timely, with mechanistic breath and depth. Highly Innovative and exiting research projects in antifungal chemistry.
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