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Project Lead

Zsuzsanna Dosztanyi

ELTE, Hungary

Scientific expertise: Bioinformatics, Biological physics

Predictions of protein disorder, peptide-domain interactions, IDPs in diseases; Database development, machine learning, protein modeling

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PI Member

Prof. Mihály Kovács

ELTE, Hungary

Scientific expertise: Molecular biology; Biochemistry

Protein science protein interactions and structural changes, mechanisms of cellular stress response, animal models of disease, motor proteins, cell division and differentiation, genome metabolism and DNA repair, liquid-liquid phase separation (LLPS).

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PI Member

Prof. Andrea Bodor

ELTE, Hungary

Scientific expertise: NMR spectroscopy, Chemistry, Structural biology

IDP characterization by NMR methods. 1Hα-detected approaches: Minor conformers, proline cis-trans isomerization, cis-Pro database. Assessment of secondary structural propensities, the random-coil chemical shift. p53(1-100) and IDP-protein/RNA interactions.

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Advanced Partner

Prof. Michele Vendruscolo

Centre for Misfolding Diseases, University of Cambridge (UCAM)

Methodologies: Biomolecular simulations, Machine learning, Protein interactions (including biolayer interferometry, NMR spectroscopy, microscopy, atomic force microscopy, fluorescence methods)

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Advanced Partner

Prof. Silvio Tosatto

University of Padova (UniPD)

Scientific expertise: Methodologies: Data Management, Workflows, Machine learning

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Advanced partner

Prof. Markus Zweckstetter

German Center for Neurodegenerative Diseases (DZNE)

Methodologies: NMR spectroscopy, Phase separation assays, Computational modelling