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1 Ergebnisse
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A Computational Modeling Approach Predicts Interaction of t..:
Utesch, Tillmann
;
de Miguel Catalina, Alejandra
;
Schattenberg, Caspar
...
qt7kv9v730. , 2018
Link:
https://escholarship.org/uc/item/7kv9v730
RT Journal T1
A Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from Aspergillus giganteus with Fungal Membranes via Its γ-Core Motif
UL https://suche.suub.uni-bremen.de/peid=base-ftcdlib:oai:escholarship.org:ark:_13030_qt7kv9v730&Exemplar=1&LAN=DE A1 Utesch, Tillmann A1 de Miguel Catalina, Alejandra A1 Schattenberg, Caspar A1 Paege, Norman A1 Schmieder, Peter A1 Krause, Eberhard A1 Miao, Yinglong A1 McCammon, J Andrew A1 Meyer, Vera A1 Jung, Sascha A1 Mroginski, Maria Andrea PB eScholarship, University of California YR 2018 K1 Microbiology K1 Biochemistry and Cell Biology K1 Biological Sciences K1 Rare Diseases K1 Emerging Infectious Diseases K1 Infectious Diseases K1 Infection K1 Good Health and Well Being K1 Antifungal Agents K1 Aspergillus K1 Aspergillus niger K1 Cell Membrane Permeability K1 Computer Simulation K1 Fungal Proteins K1 Magnetic Resonance Spectroscopy K1 Microbial Sensitivity Tests K1 Molecular Dynamics Simulation K1 AFP K1 antifungal peptides K1 fungi K1 membranes K1 modeling K1 molecular dynamics K1 nuclear magnetic resonance K1 Immunology JF qt7kv9v730 LK http://dx.doi.org/https://escholarship.org/uc/item/7kv9v730 DO https://escholarship.org/uc/item/7kv9v730 SF ELIB - SuUB Bremen
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