Biomolecular Models
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Progressive mitochondrial dysfunction due to the accumulation of amyloid beta (Aβ) peptide within the mitochondrial matrix represents one of the key characteristics of Alzheimer's disease (AD) and appears already in its early stages. Inside the mitochondria, Aβ interacts with a number of biomolecules, including cyclophilin D (cypD) and 17β-hydroxysteroid dehydrogenase type 10 (17β-HSD10), and affects their physiological functions. However, despite intensive ongoing research, the exact mechanisms through which Aβ impairs mitochondrial functions remain to be explained. In this work, we studied the interactions of Aβ with cypD and 17β-HSD10 in vitro using the surface plasmon resonance (SPR) method and determined the kinetic parameters (association and dissociation rates) of these interactions. This is the first work which determines all these parameters under the same conditions, thus, enabling direct comparison of relative affinities of Aβ to its mitochondrial binding partners. Moreover, we used the determined characteristics of the individual interactions to simulate the concurrent interactions of Aβ with cypD and 17β-HSD10 in different model situations associated with the progression of AD. This study not only advances the understanding of Aβ-induced processes in mitochondria during AD, but it also provides a new perspective on research into complex multi-interaction biomolecular processes in general.
- MeSH
- 17-hydroxysteroidní dehydrogenasy chemie metabolismus MeSH
- Alzheimerova nemoc metabolismus MeSH
- amyloidní beta-protein chemie metabolismus MeSH
- biosenzitivní techniky MeSH
- lidé MeSH
- mitochondriální proteiny chemie metabolismus MeSH
- peptidylprolylisomerasa F chemie metabolismus MeSH
- povrchová plasmonová rezonance MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Spectral density mapping represents the method of choice for investigations of molecular motions of intrinsically disordered proteins (IDPs). However, the current methodology has been developed for well-folded proteins. In order to find conditions for a reliable analysis of relaxation of IDPs, accuracy of the current reduced spectral density mapping protocols applied to IDPs was examined and new spectral density mapping methods employing cross-correlated relaxation rates have been designed. Various sources of possible systematic errors were analyzed theoretically and the presented approaches were tested on a partially disordered protein, delta subunit of bacterial RNA polymerase. Results showed that the proposed protocols provide unbiased description of molecular motions of IDPs and allow to separate slow exchange from fast dynamics.
Biomolecular simulations are routinely used in biochemistry and molecular biology research; however, they often fail to match expectations of their impact on pharmaceutical and biotech industry. This is caused by the fact that a vast amount of computer time is required to simulate short episodes from the life of biomolecules. Several approaches have been developed to overcome this obstacle, including application of massively parallel and special purpose computers or non-conventional hardware. Methodological approaches are represented by coarse-grained models and enhanced sampling techniques. These techniques can show how the studied system behaves in long time-scales on the basis of relatively short simulations. This review presents an overview of new simulation approaches, the theory behind enhanced sampling methods and success stories of their applications with a direct impact on biotechnology or drug design.
V našem příspěvku popisujeme porovnání tří druhů animálních modelů demence. Všechny tři modely byly podrobeny testování kognitivních schopností a morfologickému pozorování a byla vyhodnocena jejich relevance k lidskému poškození demencí.
We describe and compare three animal models of dementia. Measures of the cognitive functions followed with morphological neuroimaging were tested in all three models and their relevance to dementia in humans was analysed.
- MeSH
- behaviorální výzkum metody MeSH
- bludiště - učení MeSH
- demence etiologie MeSH
- financování organizované MeSH
- histologie MeSH
- metabolický syndrom patologie MeSH
- modely nemocí na zvířatech MeSH
- mozek anatomie a histologie patologie MeSH
- mozková hypoxie a ischemie patologie MeSH
- nukleární magnetická rezonance biomolekulární metody MeSH
- potkani Long-Evans MeSH
- potkani Wistar MeSH
- učení vyhýbat se MeSH
The coarse-grained Martini model is employed extensively to study membrane protein oligomerization. While this approach is exceptionally promising given its computational efficiency, it is alarming that a significant fraction of these studies demonstrate unrealistic protein clusters, whose formation is essentially an irreversible process. This suggests that the protein-protein interactions are exaggerated in the Martini model. If this held true, then it would limit the applicability of Martini to study multi-protein complexes, as the rapidly clustering proteins would not be able to properly sample the correct dimerization conformations. In this work we first demonstrate the excessive protein aggregation by comparing the dimerization free energies of helical transmembrane peptides obtained with the Martini model to those determined from FRET experiments. Second, we show that the predictions provided by the Martini model for the structures of transmembrane domain dimers are in poor agreement with the corresponding structures resolved using NMR. Next, we demonstrate that the first issue can be overcome by slightly scaling down the Martini protein-protein interactions in a manner, which does not interfere with the other Martini interaction parameters. By preventing excessive, irreversible, and non-selective aggregation of membrane proteins, this approach renders the consideration of lateral dynamics and protein-lipid interactions in crowded membranes by the Martini model more realistic. However, this adjusted model does not lead to an improvement in the predicted dimer structures. This implicates that the poor agreement between the Martini model and NMR structures cannot be cured by simply uniformly reducing the interactions between all protein beads. Instead, a careful amino-acid specific adjustment of the protein-protein interactions is likely required.
This paper describes an efficient oxime ligation strategy to prepare multivalent conjugates wherein peptides alone or in combination with carbohydrate or oxime groups were coupled to a cyclopeptide scaffold. To demonstrate the versatility of this approach, two classes of conjugates have been prepared. In one class, we attached two or four peptide sequences to the cyclopeptide core together with free oxime groups, while the second class contains an additional substitution with four or two monosaccharides. The well-defined structure of these conjugates was confirmed by high-resolution mass spectrometry.
