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Characterization of intrinsically disordered proteins

Characterization of intrinsically disordered proteins

Chris Oostenbrink (ORCID: 0000-0002-4232-2556)
  • Grant DOI 10.55776/I4588
  • Funding program Principal Investigator Projects International
  • Status ended
  • Start May 1, 2020
  • End December 31, 2023
  • Funding amount € 383,198

Bilaterale Ausschreibung: Tschechien

Disciplines

Biology (40%); Chemistry (40%); Computer Sciences (20%)

Keywords

    Intrinsically disordered proteins (IDP), Nuclear Magnetic Resonance (Nmr), Molecular Dynamics Simulation, 14-3-3 proteins, Human Tyrosine Hydroxylase 1 (Hth1)

Abstract Final report

Proteins have crucial functions in living cells and organisms. For many years, the function of proteins was thought to be tightly coupled to its three-dimensional structure. While this holds for many proteins, more and more proteins have been discovered that seem to be intrinsically disordered. Intrinsically disordered proteins (IDPs) or proteins with intrinsically disordered regions (IDRs) do still have very important roles, for instance in the regulation of cellular processes. However, such proteins are very difficult to study by methods that are currently available in the fields of structural biology or biophysics. They cannot be described by a single, representative, structure, but are best characterized by a very large number of different conformations, also referred to as an ensemble of conformations. In this project we will combine experimental measurements with computer simulations of IDPs and IDRs to generate realistic ensembles of their conformations and to learn about how they perform their function in cellular regulation. We have selected two sets of proteins to perform this research on: 1) the regulatory domain of the human tyrosine hydroxylase (TyrH), which has an intrinsically disordered region and 2) the microtubule associated protein 2c (Map2c), along with the similar tau protein. Strikingly, in spite of their similarity, the latter two proteins behave differently in their regulatory role, suggesting that there must be some structural difference between them. The challenges for this project lie in the size of the proteins and the size of the ensembles that are needed to describe their behavior correctly. We will first use new simulation techniques to generate collections of very many, and very different protein structures. Next, we will use experimental data that is generated by our project partners in the Czech Republic to adjust these collections, such that they represent the experimental data best. The resulting ensembles can then be analyzed in terms of their similarities and differences, in order to better understand how these intriguing proteins function.

Proteins have crucial functions in living cells and organisms. For many years, the function of proteins was thought to be tightly coupled to its three-dimensional structure. While this holds for many proteins, more and more proteins have been discovered that seem to be intrinsically disordered. Intrinsically disordered proteins (IDPs) or proteins with intrinsically disordered regions (IDRs) do still have important roles, for instance in the regulation of cellular processes. However, such proteins are very difficult to study by methods that are currently available in the fields of structural biology or biophysics. They cannot be described by a single, representative, structure, but are best characterized by a very large number of different conformations, also referred to as an ensemble of conformations. In this project we combined experimental measurements with computer simulations of IDPs and IDRs to generate realistic ensembles of their conformations and to learn about how they perform their function in cellular regulation. We have selected three proteins to perform this research on: 1) a fragment of the Tau protein,suggested to play a role in several neurodegenerative diseases 2) the regulatory domain of the human tyrosine hydroxylase (TyrH), which has an intrinsically disordered region and 3) the microtubule associated protein 2c (Map2c). The challenges for this project were in the size of the proteins and the size of the ensembles that are needed to describe their behavior correctly. We first generated collections of very many, and very different protein structures by splitting the proteins up into smaller fragments. We then explored the possibilities to use experimental data that was generated by our project partners in the Czech Republic to adjust these collections, such that they represent the experimental data best. The resulting ensembles can then be analyzed in terms of their similarities and differences, in order to better understand how these intriguing proteins function.

Research institution(s)
  • Universität für Bodenkultur Wien - 100%
International project participants
  • Jozef Hirtz, Masarykova Univerzita - Czechia

Research Output

  • 17 Citations
  • 8 Publications
  • 6 Datasets & models
  • 1 Software
Publications
  • 2022
    Title Identification of Activating Mutations in the Transmembrane and Extracellular Domains of EGFR
    DOI 10.1021/acs.biochem.2c00384
    Type Journal Article
    Author Wagner A
    Journal Biochemistry
    Pages 2049-2062
    Link Publication
  • 2024
    Title Caspase-Based Fusion Protein Technology: Substrate Cleavability Described by Computational Modeling and Simulation.
    DOI 10.1021/acs.jcim.4c00316
    Type Journal Article
    Author Fischer A
    Journal Journal of chemical information and modeling
    Pages 5691-5700
  • 2024
    Title Conformational dependence of chemical shifts in the proline rich region of TAU protein.
    DOI 10.1039/d4cp02484b
    Type Journal Article
    Author Oostenbrink C
    Journal Physical chemistry chemical physics : PCCP
    Pages 23856-23870
  • 2025
    Title Combining simulations and experiments - a perspective on maximum entropy methods.
    DOI 10.1039/d5cp01263e
    Type Journal Article
    Author Oostenbrink C
    Journal Physical chemistry chemical physics : PCCP
    Pages 14704-14717
  • 2025
    Title Interpreting Experimental Data with Computer Simulations: How Data Science Contributes to the Elucidation of Protein Dynamics
    Type PhD Thesis
    Author Johannes Stöckelmaier
    Link Publication
  • 2021
    Title On the Adsorption Mechanism of Humic Substances on Kaolinite and Their Microscopic Structure
    DOI 10.3390/min11101138
    Type Journal Article
    Author Galicia-Andrés E
    Journal Minerals
    Pages 1138
    Link Publication
  • 2026
    Title Evaluating the Impact of Phosphorylation on the Dynamics of the Tau Protein Proline-Rich Region
    DOI 10.1021/acs.jctc.5c02011
    Type Journal Article
    Author Polato G
    Journal Journal of Chemical Theory and Computation
  • 2025
    Title Umbrella Refinement of Ensembles-An Alternative View of Ensemble Optimization.
    DOI 10.3390/molecules30112449
    Type Journal Article
    Author Capraz T
    Journal Molecules (Basel, Switzerland)
Datasets & models
  • 2025 Link
    Title Data for: Umbrella Refinement of Ensembles - An Alternative View on Ensemble Optimization
    DOI 10.5281/zenodo.14733012
    Type Database/Collection of data
    Public Access
    Link Link
  • 2025 Link
    Title Data for: Evaluating the Impact of Phosphorylation on the Dynamics of the Tau Protein Proline-Rich Region
    DOI 10.5281/zenodo.17802794
    Type Database/Collection of data
    Public Access
    Link Link
  • 2024 Link
    Title Data for: Conformational Dependence of Chemical Shifts in the Proline Rich Region of TAU Protein
    DOI 10.5281/zenodo.11086149
    Type Database/Collection of data
    Public Access
    Link Link
  • 2024 Link
    Title Data for: Caspase-Based Fusion Protein Technology: Substrate Cleavability Described by Computational Modeling and Simulation
    DOI 10.5281/zenodo.10696796
    Type Database/Collection of data
    Public Access
    Link Link
  • 2022 Link
    Title Data for: Identification of activating mutations in the transmembrane and extracellular domains of EGFR
    DOI 10.5281/zenodo.10994225
    Type Database/Collection of data
    Public Access
    Link Link
  • 2021 Link
    Title Data for: On the adsorption mechanism of humic substances on kaolinite and their microscopic structure
    DOI 10.5281/zenodo.10994177
    Type Database/Collection of data
    Public Access
    Link Link
Software
  • 2023 Link
    Title GROMOS simulation software, release 1.6.0
    Link Link

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