Michael Schroeder

Affiliations: 
BIOTEC Technische Universität Dresden, Dresden, Sachsen, Germany 
Website:
http://www.biotec.tu-dresden.de/research/schroeder/
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"Michael Schroeder"
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Publications

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Juárez-Saldivar A, Schroeder M, Salentin S, et al. (2020) Computational Drug Repositioning for Chagas Disease Using Protein-Ligand Interaction Profiling. International Journal of Molecular Sciences. 21
Adasme MF, Parisi D, Van Belle K, et al. (2020) Structure-based drug repositioning explains ibrutinib as VEGFR2 inhibitor. Plos One. 15: e0233089
Adasme MF, Parisi D, Sveshnikova A, et al. (2020) Structure-based drug repositioning: Potential and limits. Seminars in Cancer Biology
Bittrich S, Schroeder M, Labudde D. (2019) StructureDistiller: Structural relevance scoring identifies the most informative entries of a contact map. Scientific Reports. 9: 18517
Bittrich S, Schroeder M, Labudde D. (2018) Characterizing the relation of functional and Early Folding Residues in protein structures using the example of aminoacyl-tRNA synthetases. Plos One. 13: e0206369
Bonnardel F, Mariethoz J, Salentin S, et al. (2018) UniLectin3D, a database of carbohydrate binding proteins with curated information on 3D structures and interacting ligands. Nucleic Acids Research
Salentin S, Adasme MF, Heinrich JC, et al. (2017) From malaria to cancer: Computational drug repositioning of amodiaquine using PLIP interaction patterns. Scientific Reports. 7: 11401
Durán C, Daminelli S, Thomas JM, et al. (2017) Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory. Briefings in Bioinformatics
Štular T, Lešnik S, Rožman K, et al. (2016) Discovery of Mycobacterium tuberculosis InhA Inhibitors by Binding Sites Comparison and Ligands Prediction. Journal of Medicinal Chemistry
Joachim Haupt V, Uvalle JE, Salentin S, et al. (2016) Computational Drug Repositioning by Target Hopping: A Use Case in Chagas Disease. Current Pharmaceutical Design
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