7 resultados para Sequence variability

em Universitätsbibliothek Kassel, Universität Kassel, Germany


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The ground state (J = 0) electronic correlation energy of the 4-electron Be-sequence is calculated in the Multi-Configuration Dirac-Fock approximation for Z = 4-20. The 4 electrons were distributed over the configurations arising from the 1s, 2s, 2p, 3s, 3p and 3d orbitals. Theoretical values obtained here are in good agreement with experimental correlation energies.

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The present Thesis looks at the problem of protein folding using Monte Carlo and Langevin simulations, three topics in protein folding have been studied: 1) the effect of confining potential barriers, 2) the effect of a static external field and 3) the design of amino acid sequences which fold in a short time and which have a stable native state (global minimum). Regarding the first topic, we studied the confinement of a small protein of 16 amino acids known as 1NJ0 (PDB code) which has a beta-sheet structure as a native state. The confinement of proteins occurs frequently in the cell environment. Some molecules called Chaperones, present in the cytoplasm, capture the unfolded proteins in their interior and avoid the formation of aggregates and misfolded proteins. This mechanism of confinement mediated by Chaperones is not yet well understood. In the present work we considered two kinds of potential barriers which try to mimic the confinement induced by a Chaperon molecule. The first kind of potential was a purely repulsive barrier whose only effect is to create a cavity where the protein folds up correctly. The second kind of potential was a barrier which includes both attractive and repulsive effects. We performed Wang-Landau simulations to calculate the thermodynamical properties of 1NJ0. From the free energy landscape plot we found that 1NJ0 has two intermediate states in the bulk (without confinement) which are clearly separated from the native and the unfolded states. For the case of the purely repulsive barrier we found that the intermediate states get closer to each other in the free energy landscape plot and eventually they collapse into a single intermediate state. The unfolded state is more compact, compared to that in the bulk, as the size of the barrier decreases. For an attractive barrier modifications of the states (native, unfolded and intermediates) are observed depending on the degree of attraction between the protein and the walls of the barrier. The strength of the attraction is measured by the parameter $\epsilon$. A purely repulsive barrier is obtained for $\epsilon=0$ and a purely attractive barrier for $\epsilon=1$. The states are changed slightly for magnitudes of the attraction up to $\epsilon=0.4$. The disappearance of the intermediate states of 1NJ0 is already observed for $\epsilon =0.6$. A very high attractive barrier ($\epsilon \sim 1.0$) produces a completely denatured state. In the second topic of this Thesis we dealt with the interaction of a protein with an external electric field. We demonstrated by means of computer simulations, specifically by using the Wang-Landau algorithm, that the folded, unfolded, and intermediate states can be modified by means of a field. We have found that an external field can induce several modifications in the thermodynamics of these states: for relatively low magnitudes of the field ($<2.06 \times 10^8$ V/m) no major changes in the states are observed. However, for higher magnitudes than ($6.19 \times 10^8$ V/m) one observes the appearance of a new native state which exhibits a helix-like structure. In contrast, the original native state is a $\beta$-sheet structure. In the new native state all the dipoles in the backbone structure are aligned parallel to the field. The design of amino acid sequences constitutes the third topic of the present work. We have tested the Rate of Convergence criterion proposed by D. Gridnev and M. Garcia ({\it work unpublished}). We applied it to the study of off-lattice models. The Rate of Convergence criterion is used to decide if a certain sequence will fold up correctly within a relatively short time. Before the present work, the common way to decide if a certain sequence was a good/bad folder was by performing the whole dynamics until the sequence got its native state (if it existed), or by studying the curvature of the potential energy surface. There are some difficulties in the last two approaches. In the first approach, performing the complete dynamics for hundreds of sequences is a rather challenging task because of the CPU time needed. In the second approach, calculating the curvature of the potential energy surface is possible only for very smooth surfaces. The Rate of Convergence criterion seems to avoid the previous difficulties. With this criterion one does not need to perform the complete dynamics to find the good and bad sequences. Also, the criterion does not depend on the kind of force field used and therefore it can be used even for very rugged energy surfaces.

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ZUSAMMENFASSUNG: Das Phosphorylierungsmuster eines Proteins ist kein statischer Zustand, sondern vielmehr ein dynamischer Status, den es in der modernen funktionellen (Phospho-) Proteomik und Analytik abzubilden gilt. Klassischerweise erfolgt der Nachweis der Proteinphosphorylierung auf Peptid-Ebene mittels MS/MS Sequenzierung. Diese Standardmethode der shotgun Phosphoproteomanalytik vernachlässigt jedoch wegen den in LC MS/MS Analysen oftmals schwer detektierbaren Phosphopeptiden gerade den variablen und oftmals nur geringen Phosphorylierungsgrad vieler Phosphorylierungsstellen (P-Stellen). Mittels phosphospezifischer Anreicherungsstrategien und MS/MS Sequenzierung konnten an der Modellkinase PKA-Cα nach rekombinanter Expression in E. coli insgesamt acht P-Stellen identifiziert werden. Der Phosphorylierungsgrad wurde in Kooperation mit Dr. J. Seidler über quantitative Signalintensitätsmessungen bestimmt und zeigte eine nahezu vollständige Phosphorylierung von pS10, pS139, pT197 und pS338, während der Phosphorylierungsgrad für pS34, pS53, pS65 und pS259 zwischen <5 und 45 % variierte. Neben der Quantifizierung der P-Stellen wurde auch das Auftreten und die Verteilung definierter Phosphoformen der PKA-Cα untersucht und deren Abhängigkeit von der primären Aminosäureabfolge, dem Auftreten von zusätzlichen Modifikationen sowie den gewählten Expressions- und Reinigungsbedingungen aufgezeigt. Endogene, aus Säugergewebe isolierte PKA-Cα wies nur eine einzige Phosphoform mit den P-Stellen pT197 und pS338 auf. Auch in vitro autophosphorylierte rekombinante PKA-Cα, die zuvor dephosphoryliert worden war, wies eine zweifach modifizierte Phosphoform auf. Im Vergleich zum endogenen Protein ließ sich dieses Protein an S10 und S338 exzessiv phosphorylieren, wohingegen an T197 keine Autophosphorylierung nachzuweisen war. Das Ausbleiben weiterer Phosphorylierungen stellt in Frage, ob die Hyperphosphorylierung in E. coli ausschließlich auf Autophosphorylierungsprozessen beruht, was anhand einer nicht phosphorylierten, katalytisch inaktiven Variante von PKA-Cα (PKA-Cα K72H) vermutet wurde. Im Hinblick auf die funktionellen P-Stellen pT197 und pS338 erfordert diese Entdeckung sowie der unabhängige Nachweis, dass zellfrei exprimierte PKA-Cα nur an S338 phosphoryliert ist, eine Modifizierung des sequenziellen Vorhersagemodells, wonach die Phosphorylierung an T197 eine zwingende Voraussetzung für die nachfolgende Phosphorylierung an S338 ist. Ferner konnte über phosphomimetische Mutagenese die Funktionalität der Phosphorylierung an S53 innerhalb der glycinreichen Schleife der PKA-Cα und somit ein potenzieller Weg zur Regulation der enzymatischen Aktivität gezeigt werden. Ein weiterer möglicher upstream Regulator von PKA-Cα ist die Proteinphosphatase 5, die in der Lage war, die bislang als phosphatasestabil beschriebene P Stelle pT197 in vitro zu dephosphorylieren. Die vorliegende Arbeit zeigt, dass der Phosphorylierungszustand eines Proteins von zahlreichen internen und externen Faktoren abhängt – eine Tatsache, die gerade für rekombinante Proteine, insbesondere enzymatisch aktive Kinasen, oft vernachlässigt wurde. Daher müssen auch in der shotgun Phosphoproteomanalytik P-Stellen nicht mehr nur identifiziert und quantifiziert werden, sondern die resultierenden Proteinphosphoformen differenziert auch in ihrem physiologischen Kontext beschrieben werden.

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This study analyzes the linear relationship between climate variables and milk components in Iran by applying bootstrapping to include and assess the uncertainty. The climate parameters, Temperature Humidity Index (THI) and Equivalent Temperature Index (ETI) are computed from the NASA-Modern Era Retrospective-Analysis for Research and Applications (NASA-MERRA) reanalysis (2002–2010). Milk data for fat, protein (measured on fresh matter bases), and milk yield are taken from 936,227 milk records for the same period, using cows fed by natural pasture from April to September. Confidence intervals for the regression model are calculated using the bootstrap technique. This method is applied to the original times series, generating statistically equivalent surrogate samples. As a result, despite the short time data and the related uncertainties, an interesting behavior of the relationships between milk compound and the climate parameters is visible. During spring only, a weak dependency of milk yield and climate variations is obvious, while fat and protein concentrations show reasonable correlations. In summer, milk yield shows a similar level of relationship with ETI, but not with temperature and THI. We suggest this methodology for studies in the field of the impacts of climate change and agriculture, also environment and food with short-term data.