Dr. Liza Vinhoven
PostDoc
Telephone: 0551/39-61789
E-Mail: liza.vinhoven@med.uni-goettingen.de
Location: Goldschmidtstr. 2. OG, Room: 2.112
Academic Background
| since 12/2022 PostDoc at the Department of Medical Bioinformatics, University Medical Center Göttingen |
| 10/2019-11/2022 PhD student at the Department of Medical Bioinformatics, University Medical Center Göttingen |
| 10/2017-09/2019 Research assistant at the Department of Medical Statistics/Department of Medical Bioinformatics, University Medical Center Göttingen |
| 10/2017-09/2019 MSc in Molecular Life Sciences: Microbiology, Biotechnology and Biochemistry at the Georg August University of Göttingen |
| 04/2015-09/2017 BSc in Biochemistry at the Georg August University of Göttingen |
| 09/2013-03/2015 Certificate of Higher Education at the Robert Gordon University Aberdeen, GB |
Research Interests
- Systems biology modelling & disease maps (https://cf-map.uni-goettingen.de)
- Structural bioinformatics
- Cystic Fibrosis
Theses
PhD (Georg August University of Göttingen, 2022): "Cystic Fibrosis as a model use case for implementing cell based disease models in systems medicine"
I developed a systems biology model of molecular mechanisms in the rare disease Cystic Fibrosis. The model contains data from small-scale experimental publications and high-throughput efforts and will be annotated with information on small molecule interactors for which I am conducting virtual screening experiments and molecular docking. Overall, the model can be used to identify novel drug targets, elucidate the mechanism of action for putative therapeutics and suggest new compounds and compound combinations for testing in the wet lab.
Master of Science (Georg August University of Göttingen, 2019): “Structural and biochemcal studies of the diadenylate cyclase CdaA“
Bachelor of Science (Georg August University of Göttingen, 2017): “Effects of Cu(I) ions on the aggregation propensity of α-synuclein and β-synuclein in a yeast model of Parkinson’s disease”
Publications
Vinhoven L.; Stanke F.; Hafkemeyer S.; Nietert M.: Complementary Dual Approach for In Silico Target Identification of Potential
Pharmaceutical Compounds in Cystic Fibrosis. International Journal of Molecular Sciences, Section Biochemistry, Special Issue: Small Molecule Drug Design and Research (accepted October 2022). https://www.mdpi.com/1422-0067/23/20/12351
Voskamp M.; Vinhoven L.; Stanke F.; Hafkemeyer S.; Nietert M.: Integrating Text Mining into the Curation of Disease Maps. Biomolecules 12, no. 9 (September 2022): 1278. https://doi.org/10.3390/biom12091278.
Nietert M.; Vinhoven L.; Auer F.; Hafkemeyer S.; Stanke F.: Comprehensive analysis of chemical structures that have been tested as CFTR activating substances in a publicly available database CandActCFTR
Frontiers in Pharmacology,2021. https://www.frontiersin.org/articles/10.3389/fphar.2021.689205
Vinhoven L.; Voskamp M.; Nietert M.M. Mapping Compound Databases to Disease Maps—A MINERVA Plugin for CandActBase.
J. Pers. Med., 2021, 11, 1072. https://doi.org/10.3390/jpm11111072
Vinhoven, L.; Stanke, F.; Hafkemeyer, S.; Nietert, M.M.
CFTR Lifecycle Map—A Systems Medicine Model of CFTR Maturation to Predict Possible Active Compound Combinations.
Int. J. Mol. Sci. 2021, 22, 7590. https://doi.org/10.3390/ijms22147590
Talks
66th GMDS annual conference & 12th TMF annual congress 2021: “Mapping compound databases to disease maps – A MINERVA plugin for CandActBase”
13th European Young Investigator Meeting 2019, Paris: “Curated database of candidate therapeutics for the activation of CFTR mediated ion conductance”
Awards
e:Med Poster Award on Systems Medicine 2021 for the poster contribution „Systems biology modelling in Cystic Fibrosis to predict possible drug targets and active compound combinations“