Characterization of intrinsically disordered proteins
Characterization of intrinsically disordered proteins
Bilaterale Ausschreibung: Tschechien
Disciplines
Biology (40%); Chemistry (40%); Computer Sciences (20%)
Keywords
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Intrinsically disordered proteins (IDP),
Nuclear Magnetic Resonance (Nmr),
Molecular Dynamics Simulation,
14-3-3 proteins,
Human Tyrosine Hydroxylase 1 (Hth1)
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.
- Jozef Hirtz, Masarykova Univerzita - Czechia
Research Output
- 17 Citations
- 8 Publications
- 6 Datasets & models
- 1 Software
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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)
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2025
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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
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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
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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
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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
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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
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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