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A Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from Aspergillus giganteus with Fungal Membranes via Its γ-Core Motif
Fungal pathogens kill more people per year globally than malaria or tuberculosis and threaten international food security through crop destruction. New sophisticated strategies to inhibit fungal growth are thus urgently needed. Among the potential candidate molecules that strongly inhibit fungal spo...
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| Wydane w: | mSphere |
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| Główni autorzy: | , , , , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
American Society for Microbiology
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6170789/ https://ncbi.nlm.nih.gov/pubmed/30282755 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1128/mSphere.00377-18 |
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