Liza Vinhoven

 

Telephone: 0551/39-14920

E-Mail: liza.vinhoven@med.uni-goettingen.de

Location: Goldschmidtstr. 2. OG, Room: 2.112

Academic Background

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

Since 10/2019              PhD student at the Department of Medical Bioinformatics, University Medical Center Göttingen10/2017-09/2019Research assistant at the Department of Medical Statistics/Department of Medical Bioinformatics
University Medical Center Göttingen

Research Interests

  • Systems biology modelling & disease maps (https://cf-map.uni-goettingen.de)
  • Structural bioinformatics
  • Cystic Fibrosis

Theses

PhD: Cystic Fibrosis as a model use case for implementing cell based disease models in systems medicine: 
I develop 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 then 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.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“

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