Dea Gogishvili
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Marie Skłodowska-Curie Early Stage Researcher | MIRIADE | PhD Candidate at Vrije Universiteit Amsterdam (VU Amsterdam)
My research spins around the biomarkers for neurodegenerative diseases including dementia diagnosis and progression, structural bioinformatics, predicting sequence-based protein properties using machine learning. I have research experience in drug design and development, chemical synthesis and activity-based protein profiling.
- Lecturing for courses: AI in health; Structural bioinformatics.
- Designing and supervising practicals for courses: Introduction to bioinformatics; Structural bioinformatics.
- Supervising thesis works of BSc and MSc students
- Supervising literature reviews
- Gogishvili, D., Vromen, E.M., Koppes-den Hertog, S., Lemstra, A.W., Pijnenburg, Y.A., Visser, P.J., Tijms, B.M., Del Campo, M., Abeln, S., Teunissen, C.E. and Vermunt, L., 2023. Discovery of novel CSF biomarkers to predict progression in dementia using machine learning. Scientific Reports, 13(1), p.6531.
- Juami Hermine Mariama van Gils, Dea Gogishvili, Jan van Eck, Robbin Bouwmeester, Erik van Dijk, Sanne Abeln, How sticky are our proteins? Quantifying hydrophobicity of the human proteome, Bioinformatics Advances, Volume 2, Issue 1, 2022, vbac002, https://doi.org/10.1093/bioadv/vbac002
- Waury, K., Gogishvili, D., Nieuwland, R., Chatterjee, M., Teunissen, C.E. and Abeln, S., 2023. Proteome encoded determinants of protein sorting into extracellular vesicles. bioRxiv, pp.2023-02.
- Gogishvili, D., Nittinger, E., Margreitter, C. et al. Nonadditivity in public and inhouse data: implications for drug design. J Cheminform 13, 47 (2021). https://doi.org/10.1186/s13321-021-00525-z
- Daniel Fernández-Llaneza, Silas Ulander, Dea Gogishvili, Eva Nittinger, Hongtao Zhao, and Christian Tyrchan. ACS Omega 2021 6 (16), 11086-11094. DOI: 10.1021/acsomega.1c01266
- Tyrchan, C., Nittinger, E., Gogishvili, D., Patronov, A. and Kogej, T., 2022. Approaches using AI in medicinal chemistry. In Computational and Data-Driven Chemistry Using Artificial Intelligence (pp. 111-159). Elsevier
- 30 Under 30 - Science Forbes (2022)
- Early Stage Researcher - PhD Scholarship - Marie Skłodowska-Curie Actions (2020)
- Erasmus Mundus Joint Master Degree (EMJMD) Scholarship (2018)
Upcoming:
- BioSB (June 2022)
- CSF Society Meeting (June 2022)
The main focus of MIRIADE is on biomarker discovery and clinical validation (including addressing regulatory requirements) to enhance options for monitoring and modulating progression with early diagnosis. My role as an early stage researcher (ESR) 3 in MIRIADE is the characterization of protein surface accessibility states in specific biological matrices, to improve biomarker assay development.