TY - JOUR A1 - Müller, Sara A1 - Windhof, Indra M. A1 - Maximov, Vladimir A1 - Jurkowski, Tomasz A1 - Jeltsch, Albert A1 - Förstner, Konrad U. A1 - Sharma, Cynthia M. A1 - Gräf, Ralph A1 - Nellen, Wolfgang T1 - Target recognition, RNA methylation activity and transcriptional regulation of the Dictyostelium discoideum Dnmt2-homologue (DnmA) JF - Nucleic Acids Research N2 - Although the DNA methyltransferase 2 family is highly conserved during evolution and recent reports suggested a dual specificity with stronger activity on transfer RNA (tRNA) than DNA substrates, the biological function is still obscure. We show that the Dictyostelium discoideum Dnmt2-homologue DnmA is an active tRNA methyltransferase that modifies C38 in \(tRNA^{Asp(GUC)}\) in vitro and in vivo. By an ultraviolet-crosslinking and immunoprecipitation approach, we identified further DnmA targets. This revealed specific tRNA fragments bound by the enzyme and identified \(tRNA^{Glu(CUC/UUC)}\) and \(tRNA^{Gly(GCC)}\) as new but weaker substrates for both human Dnmt2 and DnmA in vitro but apparently not in vivo. Dnmt2 enzymes form transient covalent complexes with their substrates. The dynamics of complex formation and complex resolution reflect methylation efficiency in vitro. Quantitative PCR analyses revealed alterations in dnmA expression during development, cell cycle and in response to temperature stress. However, dnmA expression only partially correlated with tRNA methylation in vivo. Strikingly, dnmA expression in the laboratory strain AX2 was significantly lower than in the NC4 parent strain. As expression levels and binding of DnmA to a target in vivo are apparently not necessarily accompanied by methylation, we propose an additional biological function of DnmA apart from methylation. KW - DNA methylferase homolog KW - drospophila KW - TRNA(ASP) KW - mechanism KW - binding Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-123149 SN - 1362-4962 VL - 41 IS - 18 ER - TY - JOUR A1 - Fischer, Rico A1 - Plessow, Franziska A1 - Kiesel, Andrea T1 - The effects of alerting signals in masked priming JF - Frontiers in Psychology N2 - Alerting signals often serve to reduce temporal uncertainty by predicting the time of stimulus onset. The resulting response time benefits have often been explained by facilitated translation of stimulus codes into response codes on the basis of established stimulus-response (S-R) links. In paradigms of masked S-R priming alerting signals also modulate response activation processes triggered by subliminally presented prime stimuli. In the present study we tested whether facilitation of visuo-motor translation processes due to alerting signals critically depends on established S-R links. Alerting signals resulted in significantly enhanced masked priming effects for masked prime stimuli that included and that did not include established S-R links fi.e., target vs. novel primes). Yet, the alerting-priming interaction was more pronounced for target than for novel primes. These results suggest that effects of alerting signals on masked priming are especially evident when S-R links between prime and target exist. At the same time, an alerting-priming interaction also for novel primes suggests that alerting signals also facilitate stimulus-response translation processes when masked prime stimuli provide action-trigger conditions in terms of programmed S-R links. KW - response selection KW - visual cortex KW - temporal predictability KW - stimuli KW - primes KW - target primes KW - simon task KW - automaticity KW - performance KW - perception KW - mechanism KW - novel primes KW - action-trigger KW - masked priming KW - accessory KW - alerting signal Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-122581 SN - 1664-1078 VL - 4 IS - 448 ER - TY - THES A1 - Paasche, Alexander T1 - Mechanistic Insights into SARS Coronavirus Main Protease by Computational Chemistry Methods T1 - Mechanistische Einblicke in die SARS Coronavirus Hauptprotease mit computerchemischen Methoden N2 - The SARS virus is the etiological agent of the severe acute respiratory syndrome, a deadly disease that caused more than 700 causalities in 2003. One of its viral proteins, the SARS coronavirus main protease, is considered as a potential drug target and represents an important model system for other coronaviruses. Despite extensive knowledge about this enzyme, it still lacks an effective anti-viral drug. Furthermore, it possesses some unusual features related to its active-site region. This work gives atomistic insights into the SARS coronavirus main protease and tries to reveal mechanistic aspects that control catalysis and inhibition. Thereby, it applies state-of-the-art computational methods to develop models for this enzyme that are capable to reproduce and interpreting the experimental observations. The theoretical investigations are elaborated over four main fields that assess the accuracy of the used methods, and employ them to understand the function of the active-site region, the inhibition mechanism, and the ligand binding. The testing of different quantum chemical methods reveals that their performance depends partly on the employed model. This can be a gas phase description, a continuum solvent model, or a hybrid QM/MM approach. The latter represents the preferred method for the atomistic modeling of biochemical reactions. A benchmarking uncovers some serious problems for semi-empirical methods when applied in proton transfer reactions. To understand substrate cleavage and inhibition of SARS coronavirus main protease, proton transfer reactions between the Cys/His catalytic dyad are calculated. Results show that the switching between neutral and zwitterionic state plays a central role for both mechanisms. It is demonstrated that this electrostatic trigger is remarkably influenced by substrate binding. Whereas the occupation of the active-site by the substrate leads to a fostered zwitterion formation, the inhibitor binding does not mimic this effect for the employed example. The underlying reason is related to the coverage of the active-site by the ligand, which gives new implications for rational improvements of inhibitors. More detailed insights into reversible and irreversible inhibition are derived from in silico screenings for the class of Michael acceptors that follow a conjugated addition reaction. From the comparison of several substitution patterns it becomes obvious that different inhibitor warheads follow different mechanisms. Nevertheless, the initial formation of a zwitterionic catalytic dyad is found as a common precondition for all inhibition reactions. Finally, non-covalent inhibitor binding is investigated for the case of SARS coranavirus main protease in complex with the inhibitor TS174. A novel workflow is developed that includes an interplay between theory and experiment in terms of molecular dynamic simulation, tabu search, and X-ray structure refinement. The results show that inhibitor binding is possible for multiple poses and stereoisomers of TS174. N2 - Das Schwere Akute Respiratorische Syndrom (SARS) wird durch eine Infektion mit dem SARS Virus ausgelöst, dessen weltweite Verbreitung 2003 zu über 700 Todesfällen führte. Die SARS Coronavirus Hauptprotease stellt ein mögliches Wirkstoffziel zur Behandlung dar und hat Modellcharakter für andere Coronaviren. Trotz intensiver Forschung sind bis heute keine effektiven Wirkstoffe gegen SARS verfügbar. Die vorliegende Arbeit gibt Einblicke in die mechanistischen Aspekte der Enzymkatalyse und Inhibierung der SARS Coronavirus Hauptprotease. Hierzu werden moderne computerchemische Methoden angewandt, die mittels atomistischer Modelle experimentelle Ergebnisse qualitativ reproduzieren und interpretieren können. Im Zuge der durchgeführten theoretischen Arbeiten wird zunächst eine Fehlereinschätzung der Methoden durchgeführt und diese nachfolgend auf Fragestellungen zur aktiven Tasche, dem Inhibierungsmechanismus und der Ligandenbindung angewandt. Die Einschätzung der quantenchemischen Methoden zeigt, dass deren Genauigkeit teilweise von der Umgebungsbeschreibung abhängt, welche als Gasphasen, Kontinuum, oder QM/MM Modell dargestellt werden kann. Letzteres gilt als Methode der Wahl für die atomistische Modellierung biochemischer Reaktionen. Die Vergleiche zeigen für semi-empirische Methoden gravierende Probleme bei der Beschreibung von Proton-Transfer Reaktionen auf. Diese wurden für die katalytische Cys/His Dyade betrachtet, um Einblicke in Substratspaltung und Inhibierung zu erhalten. Dem Wechsel zwischen neutralem und zwitterionischem Zustand konnte hierbei eine zentrale Bedeutung für beide Prozesse zugeordnet werden. Es zeigt sich, dass dieser „electrostatic trigger“ von der Substratbindung, nicht aber von der Inhibitorbindung beeinflusst wird. Folglich beschleunigt ausschließlich die Substratbindung die Zwitterionbildung, was im Zusammenhang mit der Abschirmung der aktiven Tasche durch den Liganden steht. Dies gibt Ansatzpunkte für die Verbesserung von Inhibitoren. Aus in silico screenings werden genauere Einblicke in die reversible und irreversible Inhibierung durch Michael-Akzeptor Verbindungen gewonnen. Es wird gezeigt, dass unterschiedlichen Substitutionsmustern unterschiedliche Reaktionsmechanismen in der konjugierten Additionsreaktion zugrunde liegen. Die vorangehende Bildung eines Cys-/His+ Zwitterions ist allerdings für alle Inhibierungsmechanismen eine notwendige Voraussetzung. Letztendlich wurde die nicht-kovalente Bindung eines Inhibitors am Beispiel des TS174-SARS Coronavirus Hauptprotease Komplexes untersucht. Im Zusammenspiel von Theorie und Experiment wurde ein Prozess, bestehend aus Molekulardynamik Simulation, Tabu Search und Röntgenstruktur Verfeinerung ausgearbeitet, der eine Interpretation der Bindungssituation von TS174 ermöglicht. Im Ergebnis zeigt sich, dass der Inhibitor gleichzeitig in mehreren Orientierungen, als auch in beiden stereoisomeren Formen im Komplex vorliegt. KW - SARS KW - Inhibitor KW - Enzym KW - Computational chemistry KW - Coronaviren KW - SARS KW - Protease KW - Mechanismus KW - Inhibitor KW - Computerchemie KW - SARS KW - protease KW - mechanism KW - inhibitor KW - computational chemistry Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-79029 ER -