A Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from Aspergillus giganteus with Fungal Membranes via Its γ-Core Motif

Author:

Utesch Tillmann1,de Miguel Catalina Alejandra1,Schattenberg Caspar1,Paege Norman2,Schmieder Peter3,Krause Eberhard3,Miao Yinglong45,McCammon J. Andrew67,Meyer Vera2,Jung Sascha2,Mroginski Maria Andrea1ORCID

Affiliation:

1. Institut für Chemie, Technische Universität Berlin, Berlin, Germany

2. Institute of Biotechnology, Department Applied and Molecular Microbiology, Technische Universität Berlin, Berlin, Germany

3. Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany

4. Center for Computational Biology, University of Kansas, Lawrence, Kansas, USA

5. Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas, USA

6. Department of Chemistry & Biochemistry, University of California, San Diego, La Jolla, California, USA

7. Department of Pharmacology, University of California, San Diego, La Jolla, California, USA

Abstract

Fungal pathogens pose a serious danger to human welfare since they kill more people per year than malaria or tuberculosis and are responsible for crop losses worldwide. The treatment of fungal infections is becoming more complicated as fungi develop resistances against commonly used fungicides. Therefore, discovery and development of novel antifungal agents are of utmost importance.

Funder

HHS | National Institutes of Health

Deutsche Forschungsgemeinschaft

Publisher

American Society for Microbiology

Subject

Molecular Biology,Microbiology

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