A Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from <italic toggle="yes">Aspergillus giganteus</italic> with Fungal Membranes via Its γ-Core Motif

A Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from <italic toggle="yes">Aspergillus giganteus</italic> with Fungal Membranes via Its γ-Core Motif

ABSTRACT 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 f...

Full description

Bibliographic Details
Main Authors: Tillmann Utesch, Alejandra de Miguel Catalina, Caspar Schattenberg, Norman Paege, Peter Schmieder, Eberhard Krause, Yinglong Miao, J. Andrew McCammon, Vera Meyer, Sascha Jung, Maria Andrea Mroginski
Format: Article
Language:English
Published: American Society for Microbiology 2018-10-01
Series:mSphere
Subjects:
AFP
antifungal peptides
fungi
membranes
modeling
molecular dynamics
Online Access:https://journals.asm.org/doi/10.1128/mSphere.00377-18

Internet

https://journals.asm.org/doi/10.1128/mSphere.00377-18

Similar Items