Designer Receptor Gene Therapy constructed for Parkinson’s

Designer Receptor Gene Therapy constructed for Parkinson’s

Andreas Lieb (ORCID: 0000-0001-9567-649X)

Disciplines

Computer Sciences (10%); Medical-Theoretical Sciences, Pharmacy (30%); Medical Biotechnology (60%)

Keywords

    Neuroscience, Gene Therapy, Designer Receptor, Parkinson's Disease

Abstract

Within this FWF Stand-Alone Project we will use state of the art computational methods to design custom-made proteins. Following intensive in vitro characterisation of these designer receptors with different cell based assays and electrophysiology, we will evaluate their efficacy in multiple animal models. The overall aim of this project is the development of novel gene therapies targeting Parkinsons disease.
Research institution(s)
Project participants

Research Output

  • 14 Citations
  • 5 Publications
Publications
  • 2024
    Title Characterization of the intrahippocampal kainic acid model in female mice with a special focus on seizure suppression by antiseizure medications
    DOI 10.1016/j.expneurol.2024.114749
    Type Journal Article
    Author Widmann M
    Journal Experimental Neurology
    Pages 114749
    Link Publication
  • 2023
    Title Dimethyl sulfoxide’s impact on epileptiform activity in a mouse model of chronic temporal lobe epilepsy
    DOI 10.1016/j.eplepsyres.2023.107235
    Type Journal Article
    Author Widmann M
    Journal Epilepsy Research
    Pages 107235
    Link Publication
  • 2021
    Title Functional Characterization of Spinocerebellar Ataxia Associated Dynorphin A Mutant Peptides
    DOI 10.3390/biomedicines9121882
    Type Journal Article
    Author Lieb A
    Journal Biomedicines
    Pages 1882
    Link Publication
  • 2023
    Title Disruptor: Computational identification of oncogenic mutants disrupting protein-protein and protein-DNA interactions
    DOI 10.1038/s42003-023-05089-2
    Type Journal Article
    Author Kugler V
    Journal Communications Biology
    Pages 720
    Link Publication
  • 2022
    Title DISRUPTOR: Computational identification of oncogenic mutants disrupting protein interactions
    DOI 10.1101/2022.11.02.514903
    Type Preprint
    Author Kugler V
    Pages 2022.11.02.514903
    Link Publication