E-LIB Suche - Ergebnisse für: Paege, Norman

1

Toxicological evaluation of microbial secondary metabolites..:

Paege, Norman ; Feustel, Sabrina ; Marx-Stoelting, Philip
Environmental Health. 23 (2024) 1 - p. , 2024

Link: https://doi.org/10.1186/..

2

Herstellung und Charakterisierung von antimykotisch wirksam..:

Paege, Norman , 2020

Link: https://nbn-resolving.de..

3

Species-Specific Differences in the Susceptibility of Fungi..:

Paege, Norman ; Warnecke, Dirk ; Zäuner, Simone...
mSphere. 4 (2019) 6 - p. , 2019

Link: https://doi.org/10.1128/..

4

A Computational Modeling Approach Predicts Interaction of t..:

Utesch, Tillmann ; de Miguel Catalina, Alejandra ; Schattenberg, Caspar...
mSphere. 3 (2018) 5 - p. , 2018

Link: https://doi.org/10.1128/..

5

A Transcriptome Meta-Analysis Proposes Novel Biological Rol..:

Paege, Norman ; Jung, Sascha ; Schäpe, Paul...
PLOS ONE. 11 (2016) 11 - p. e0165755 , 2016

Link: https://doi.org/10.1371/..

6

Native-sized spider silk proteins synthesized in planta via..:

Hauptmann, Valeska ; Weichert, Nicola ; Menzel, Matthias...
Transgenic Research. 22 (2012) 2 - p. 369-377 , 2012

Link: https://doi.org/10.1007/..

7

A transcriptome meta-analysis proposes novel biological rol..:

Paege, Norman ; Jung, Sascha ; Schäpe, Paul...
1932-6203. , 2021

Link: https://depositonce.tu-b..

8

A Computational Modeling Approach Predicts Interaction of t..:

Utesch, Tillmann ; de Miguel Catalina, Alejandra ; Schattenberg, Caspar...
Utesch, T., de Miguel Catalina, A., Schattenberg, C., Paege, N., Schmieder, P., Krause, E., Miao, Y., McCammon, J. A., Meyer, V., Jung, S., & Mroginski, M. A. (2018). A Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from Aspergillus giganteus with Fungal Membranes via Its γ-Core Motif. mSphere, 3(5), e00377-18. https://doi.org/10.1128/mSphere.00377-18. , 2020

Link: http://hdl.handle.net/18..

9