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Kinogeschichte
(2006)
Volker Eichelmanns Video Kurlichtspiele (Reminiszenz, 12. Dezember 1953) verknüpft zentrale Stationen der Film-, Videokunst- und Mediengeschichte im Hinblick auf ihre Wechselwirkungen mit individueller und kollektiver Geschichte beziehungsweise Erinnerung. Die Arbeit visualisiert und vertont Elemente des Zusammenspiels von Kinohistorie und persönlichem Gedächtnis. Erinnerungs- und Medienschichten werden miteinander überblendet und zusammen geschnitten. Eine wesentliche Rolle spielt dabei der Gegensatz von Immersion und Distanz zum Filmgeschehen. Eine reflektierende Haltung zur filmischen Narration wird in Kurlichtspiele durch die Integration und Ausstellung materieller Produktions- und Aufführungsbedingungen des Videos und anderer fotografischer und filmischer Techniken nahe gelegt.
Die vorliegende Arbeit stellt einen Ansatz zur Systematisierung der Konzeption und Entwicklung webbasierter multimedialer Lehr-/Lernobjekte (mmL-Objekte) in der Physischen Geographie, im Wesentlichen in der Teildisziplin Geomorphologie, vor. Auf allgemeine Ausführungen zu mediendidaktischen Grundlagen und Begrifflichkeiten im Zusammenhang internetgestützter Lehr-/Lernszenarien folgt die Darstellung von Strategien der Wissensstrukturierung, Wissensaneignung und fachwissenschaftlicher Methodik im Lehr-/Lernkontext geomorphologischer Prozesse und ihrer Modellierung im Internet. Die Aufbereitung des Prozesskomplexes Bodenerosion seht im Mittelpunkt. Ein Überblick über Potentiale computergestützter Modellierung und Visualisierung zur Entwicklung webbasierter multimedialer Lehr-/Lernmaterialien in der Geographie leitet über zur Erarbeitung eines präskriptiven Ansatzes zur Konzeption interaktiver Lernaufgaben. Sie setzen sich zusammen aus einer Visualisierungskomponente, den Möglichkeiten zur Interaktion mit der Visualisierung und mindestens einer Aufgabenstellung. Vor allem in computerunterstützten Lehr-/Lernprozessen, die selbständiges Lernen erfordern, erweisen sie sich als wesentliches didaktisches Element, um sicherzustellen, dass sich Lernende aktiv und nicht nur rezeptiv mit Inhalten und Medien in der für erfolgreiche Lernprozesse erforderlichen Intensität auseinander setzen. Ausgehend von der Funktion des zu entwickelnden Lehr-/Lernangebotes und dem jeweiligen angestrebten Zielhorizont eines Lehr-/Lernelements werden Empfehlungen zur Konstruktion aufgabenorientierter mmL-Objekte vorgeschlagen. Exemplarisch wird die praktische Anwendung theoretisch begründeter Empfehlungen anhand von aufgabenorientierten mmL-Objekten (interaktiven Lernaufgaben) aufgezeigt und diskutiert, die im Rahmen des BMBF-Projektes „WEBGEO – Webbing von Geoprozessen für die Grundausbildung Physische Geographie“ und im Rahmen der Lehrveranstaltung „Erstellung von E-Learning-Modulen durch Studierende“ entwickelt wurden.
In der vorliegenden Arbeit wurden neue Interaktionspartner des einwärtsrektifizierenden, renalen ROMK-Kaliumkanals identifiziert und funktionell in Xenopus Oozyten untersucht. Zunächst wurde mit Hilfe eines modifizierten Hefe-Zwei-Hybrid-Systems und dem zytosolischen C-Terminus von ROMK als Köderprotein eine cDNS-Bibliothek der humanen Niere durchmustert. Eine Besonderheit hierbei war, daß das Köderprotein im Gegensatz zu dem herkömmlichen Hefe-Zwei-Hybrid-System in der nativen, tetrameren Konformation vorlag. Die Interaktion der isolierten Proteine mit dem ROMK-C-Terminus wurde anschließend in der Hefe in direkten Bindungsstudien bestätigt. Auf diese Weise konnten 25 neue Interaktionspartner für ROMK gefunden werden. Aufgrund ihrer teilweise bekannten Funktionen und Strukturen wurden einige, insbesondere das Golgi-Protein Golgin-160, das Adapterprotein GRB7 und die Serin/Threonin-Proteinphosphatase-Untereinheit PP2A B56β, für eine weitergehende Charakterisierung ausgewählt. Die vermutete Beteiligung von Golgin-160 am vesikulären Membrantransport machte die gefundene Interaktion mit ROMK besonders interessant, da über den Transport des Kanals vom Endoplasmatischen Retikulum über den Golgi-Apparat bis an die Zelloberfläche nur wenig bekannt ist. Zunächst konnte die Bindung von Golgin-160 an das ROMK Kanalprotein durch Koimmunpräzipitation beider Proteine aus Lysaten transfizierter Säugerzellen unterstützt werden. Immunfluoreszenzmikroskopische Untersuchungen bestätigten weiterhin, daß beide Proteine tatsächlich und ausschließlich im Bereich des Golgi-Apparats kolokalisiert sind. Dies verstärkte die Vermutung, daß Golgin-160 am Membrantransport von ROMK beteiligt ist. Funktionelle Untersuchungen in Xenopus Oozyten mit Hilfe der Zwei-Elektroden-Spannungsklemme ergaben nach Koexpression beider Proteine reproduzierbar eine Verdopplung der ROMK-Stromamplitude. Mittels einer Chemolumineszenz-Oberflächenexpressionsanalyse konnte dies auf eine Zunahme der Dichte des Kanalproteins in der Plasmamembran zurückgeführt werden. Ähnliche Resultate wurden auch für das nahe verwandte Kir2.1-Kanalprotein erhalten. Diese Untersuchungen zeigten zudem, daß nur das Kanalprotein an der Zelloberfläche, nicht aber die Gesamtmenge des Proteins in der Zelle erhöht war. Dementsprechend waren auch die biophysikalischen und pharmakologischen Eigenschaften des ROMK-Kanals durch das koexprimierte Golgin-160 nicht verändert. Um die Bedeutung der gefundenen Interaktion näher zu untersuchen, wurden Bindungsstudien mit C-terminalen Bartter-Mutanten von ROMK durchgeführt. Alle untersuchten Punkt- und Trunkationsmutanten waren noch zur Bindung von Golgin-160 fähig, und zwei Punktmutanten konnten durch Golgin-160 auch funktionell stimuliert werden. Daraus kann geschlossen werden, daß diese hochkonservierten Aminosäurereste des Kanalproteins nicht an der Bindung von Golgin-160 beteiligt sind, und daß der defekte Membrantransport dieser krankheitsverursachenden Mutanten nicht auf einer gestörten Interaktion mit dem untersuchten Golgi-Protein beruht. Mit diesen Untersuchungen wurde erstmalig gezeigt, daß Golgin-160 am Golgi-Apparat selektiv mit transportierten Membranproteinen interagiert und dadurch deren Zelloberflächenexpression reguliert. Eine spezifische Rolle beim Transport von Oberflächenproteinen zur Plasmamembran wird durch das Ergebnis unterstrichen, daß auch die Oberflächenexpression der entfernt verwandten Kv1.5- und Kv4.3-Kanalproteine stimuliert wird, aber nicht die des HERGKaliumkanals. In weiteren funktionellen Untersuchungen konnten auch für GRB7 und PP2A B56β erstmalig Einflüsse auf die ROMK-Kanalaktivität gezeigt werden. Die Koexpression von GRB7 führte sowohl bei ROMK als auch bei verwandten Kir2-Kanalproteinen zu einer Verringerung der Stromamplitude. Bei PP2A B56β war der Effekt von der Expressionshöhe dieser regulatorischen Phosphatase- Untereinheit abhängig. So waren die ROMK-Ströme bei geringen Mengen an injizierter PP2A B56β erhöht, nach Injektion größerer Mengen dagegen reduziert. Die Regulation der ROMK-Kanalaktivität wird größtenteils durch die Kontrolle der Kanaldichte an der Zelloberfläche erzielt. Da unterschiedliche Signalwege die Häufigkeit des Kanalproteins an der Zelloberfläche modulieren können, kann vermutet werden, daß nicht nur Golgin-160 sondern auch GRB7 und PP2A B56β an der Regulation der Oberflächenexpression von ROMK beteiligt sind (Abb. 36). Die Identifizierung dieser neuen Interaktionspartner stellt deshalb einen ersten wichtigen Schritt bei der Aufklärung der dieser Regulation zugrundeliegenden molekularen Mechanismen dar.
The goal of this thesis was the development, evaluation and application of novel virtual screening approaches for the rational compilation of high quality pharmacological screening libraries. The criteria for a high quality were a high probability of the selected molecules to be active compared to randomly selected molecules and diversity in the retrieved chemotypes of the selected molecules to be prepared for the attrition of single lead structures. For the latter criterion the virtual screening approach had to perform “scaffold hopping”. The first molecular descriptor that was explicitly reported for that purpose was the topological pharmacophore CATS descriptor, representing a correlation vector (CV) of all pharmacophore points in a molecule. The representation is alignment-free and thus renders fast screening of large databases feasible. In a first series of experiments the CATS descriptor was conceptually extended to the three-dimensional pharmacophore-pair CATS3D descriptor and the molecular surface based SURFCATS descriptor. The scaling of the CATS3D descriptor, the combination of CATS3D with different similarity metrics and the dependence of the CATS3D descriptor on the threedimensional conformations of the molecules in the virtual screening database were evaluated in retrospective screening experiments. The “scaffold hopping” capabilities of CATS3D and SURFCATS were compared to CATS and the substructure fingerprint MACCS keys. Prospective virtual screening with CATS3D similarity searching was applied for the TAR RNA and the metabotropic glutamate receptor 5 (mGlur5). A combination of supervised and unsupervised neural networks trained on CATS3D descriptors was applied prospectively to compile a focused but still diverse library of mGluR5 modulators. In a second series of experiments the SQUID fuzzy pharmacophore model method was developed, that was aimed to provide a more general query for virtual screening than the CATS family descriptors. A prospective application of the fuzzy pharmacophore models was performed for TAR RNA ligands. In a last experiment a structure-/ligand-based pharmacophore model was developed for taspase1 based on a homology model of the enzyme. This model was applied prospectively for the screening for the first inhibitors of taspase1. The effect of different similarity metrics (Euc: Euclidean distance, Manh: Manhattan distance and Tani: Tanimoto similarity) and different scaling methods (unscaled, scaling1: scaling by the number of atoms, and scaling2: scaling by the added incidences of potential pharmacophore points of atom pairs) on CATS3D similarity searching was evaluated in retrospective virtual screening experiments. 12 target classes of the COBRA database of annotated ligands from recent scientific literature were used for that purpose. Scaling2, a new development for the CATS3D descriptor, was shown to perform best on average in combination with all three similarity metrics (enrichment factor ef (1%): Manh = 11.8 ± 4.3, Euc = 11.9 ± 4.6, Tani = 12.8 ± 5.1). The Tanimoto coefficient was found to perform best with the new scaling method. Using the other scaling methods the Manhattan distance performed best (ef (1%): unscaled: Manh = 9.6 ± 4.0, Euc = 8.1 ± 3.5, Tani = 8.3 ± 3.8; scaling1: Manh = 10.3 ± 4.1, Euc = 8.8 ± 3.6, Tani = 9.1 ± 3.8). Since CATS3D is independent of an alignment, the dependence of a “receptor relevant” conformation might also be weaker compared to other methods like docking. Using such methods might be a possibility to overcome problems like protein flexibility or the computational expensive calculation of many conformers. To test this hypothesis, co-crystal structures of 11 target classes served as queries for virtual screening of the COBRA database. Different numbers of conformations were calculated for the COBRA database. Using only a single conformation already resulted in a significant enrichment of isofunctional molecules on average (ef (1%) = 6.0 ± 6.5). This observation was also made for ligand classes with many rotatable bonds (e.g. HIV-protease: 19.3 ± 6.2 rotatable bonds in COBRA, ef (1%) = 12.2 ± 11.8). On average only an improvement from using the maximum number of conformations (on average 37 conformations / molecule) to using single conformations of 1.1 fold was found. It was found that using more conformations actives and inactives equally became more similar to the reference compounds according to the CATS3D representations. Applying the same parameters as before to calculate conformations for the crystal structure ligands resulted in an average Cartesian RMSD of the single conformations to the crystal structure conformations of 1.7 ± 0.7 Å. For the maximum number of conformations, the RMSD decreased to 1.0 ± 0.5 Å (1.8 fold improvement on average). To assess the virtual screening performance and the scaffold hopping potential of CATS3D and SURFACATS, these descriptors were compared to CATS and the MACCS keys, a fingerprint based on exact chemical substructures. Retrospective screening of ten classes of the COBRA database was performed. According to the average enrichment factors the MACCS keys performed best (ef (1%): MACCS = 17.4 ± 6.4, CATS = 14.6 ± 5.4, CATS3D = 13.9 ± 4.9, SURFCATS = 12.2 ± 5.5). The classes, where MACCS performed best, consisted of a lower average fraction of different scaffolds relative to the number of molecules (0.44 ± 0.13), than the classes, where CATS performed best (0.65 ± 0.13). CATS3D was the best performing method for only a single target class with an intermediate fraction of scaffolds (0.55). SURFCATS was not found to perform best for a single class. These results indicate that CATS and the CATS3D descriptors might be better suited to find novel scaffolds than the MACCS keys. All methods were also shown to complement each other by retrieving scaffolds that were not found by the other methods. A prospective evaluation of CATS3D similarity searching was done for metabotropic glutamate receptor 5 (mGluR5) allosteric modulators. Seven known antagonists of mGluR5 with sub-micromolar IC50 were used as reference ligands for virtual screening of the 20,000 most drug-like compounds – as predicted by an artificial neural network approach – of the Asinex vendor database (194,563 compounds). Eight of 29 virtual screening hits were found with a Ki below 50 µM in a binding assay. Most of the ligands were only moderately specific for mGluR5 (maximum of > 4.2 fold selectivity) relative to mGluR1, the most similar receptor to mGluR5. One ligand exhibited even a better Ki for mGluR1 than for mGluR5 (mGluR5: Ki > 100 µM, mGluR1: Ki = 14 µM). All hits had different scaffolds than the reference molecules. It was demonstrated that the compiled library contained molecules that were different from the reference structures – as estimated by MACCS substructure fingerprints – but were still considered isofunctional by both CATS and CATS3D pharmacophore approaches. Artificial neural networks (ANN) provide an alternative to similarity searching in virtual screening, with the advantage that they incorporate knowledge from a learning procedure. A combination of artificial neural networks for the compilation of a focused but still structurally diverse screening library was employed prospectively for mGluR5. Ensembles of neural networks were trained on CATS3D representations of the training data for the prediction of “mGluR5-likeness” and for “mGluR5/mGluR1 selectivity”, the most similar receptor to mGluR5, yielding Matthews cc between 0.88 and 0.92 as well as 0.88 and 0.91 respectively. The best 8,403 hits (the focused library: the intersection of the best hits from both prediction tasks) from virtually ranking the Enamine vendor database (ca. 1,000,000 molecules), were further analyzed by two self-organizing maps (SOMs), trained on CATS3D descriptors and on MACCS substructure fingerprints. A diverse and representative subset of the hits was obtained by selecting the most similar molecules to each SOM neuron. Binding studies of the selected compounds (16 molecules from each map) gave that three of the molecules from the CATS3D SOM and two of the molecules from the MACCS SOM showed mGluR5 binding. The best hit with a Ki of 21 µM was found in the CATS3D SOM. The selectivity of the compounds for mGluR5 over mGluR1 was low. Since the binding pockets in the two receptors are similar the general CATS3D representation might not have been appropriate for the prediction of selectivity. In both SOMs new active molecules were found in neurons that did not contain molecules from the training set, i. e. the approach was able to enter new areas of chemical space with respect to mGluR5. The combination of supervised and unsupervised neural networks and CATS3D seemed to be suited for the retrieval of dissimilar molecules with the same class of biological activity, rather than for the optimization of molecules with respect to activity or selectivity. A new virtual screening approach was developed with the SQUID (Sophisticated Quantification of Interaction Distributions) fuzzy pharmacophore method. In SQUID pairs of Gaussian probability densities are used for the construction of a CV descriptor. The Gaussians represent clusters of atoms comprising the same pharmacophoric feature within an alignment of several active reference molecules. The fuzzy representation of the molecules should enhance the performance in scaffold hopping. Pharmacophore models with different degrees of fuzziness (resolution) can be defined which might be an appropriate means to compensate for ligand and receptor flexibility. For virtual screening the 3D distribution of Gaussian densities is transformed into a two-point correlation vector representation which describes the probability density for the presence of atom-pairs, comprising defined pharmacophoric features. The fuzzy pharmacophore CV was used to rank CATS3D representations of molecules. The approach was validated by retrospective screening for cyclooxygenase 2 (COX-2) and thrombin ligands. A variety of models with different degrees of fuzziness were calculated and tested for both classes of molecules. Best performance was obtained with pharmacophore models reflecting an intermediate degree of fuzziness. Appropriately weighted fuzzy pharmacophore models performed better in retrospective screening than CATS3D similarity searching using single query molecules, for both COX-2 and thrombin (ef (1%): COX-2: SQUID = 39.2., best CATS3D result = 26.6; Thrombin: SQUID = 18.0, best CATS3D result = 16.7). The new pharmacophore method was shown to complement MOE pharmacophore models. SQUID fuzzy pharmacophore and CATS3D virtual screening were applied prospectively to retrieve novel scaffolds of RNA binding molecules, inhibiting the Tat-TAR interaction. A pharmacophore model was built up from one ligand (acetylpromazine, IC50 = 500 µM) and a fragment of another known ligand (CGP40336A), which was assumed to bind with a comparable binding mode as acetylpromazine. The fragment was flexible aligned to the TAR bound NMR conformation of acetylpromazine. Using an optimized SQUID pharmacophore model the 20,000 most druglike molecules from the SPECS database (229,658 compounds) were screened for Tat-TAR ligands. Both reference inhibitors were also applied for CATS3D similarity searching. A set of 19 molecules from the SQUID and CATS3D results was selected for experimental testing. In a fluorescence resonance energy transfer (FRET) assay the best SQUID hit showed an IC50 value of 46 µM, which represents an approximately tenfold improvement over the reference acetylpromazine. The best hit from CATS3D similarity searching showed an IC50 comparable to acetylpromazine (IC50 = 500 µM). Both hits contained different molecular scaffolds than the reference molecules. Structure-based pharmacophores provide an alternative to ligand-based approaches, with the advantage that no ligands have to be known in advance and no topological bias is introduced. The latter is e.g. favorable for hopping from peptide-like substrates to drug-like molecules. A homology model of the threonine aspartase taspase1 was calculated based on the crystal structures of a homologous isoaspartyl peptidase. Docking studies of the substrate with GOLD identified a binding mode where the cleaved bond was situated directly above the reactive N-terminal threonine. The predicted enzyme-substrate complex was used to derive a pharmacophore model for virtual screening for novel taspase1 inhibitors. 85 molecules were identified from virtual screening with the pharmacophore model as potential taspase1- inhibitors, however biochemical data was not available before the end of this thesis. In summary this thesis demonstrated the successful development, improvement and application of pharmacophore-based virtual screening methods for the compilation of molecule-libraries for early phase drug development. The highest potential of such methods seemed to be in scaffold hopping, the non-trivial task of finding different molecules with the same biological activity.
This regional study documents the life and the destruction of the Jewish community of Magdeburg, in the Prussian province of Saxony, between 1933 and 1945. As this is the first comprehensive and academic study of this community during the Nazi period, it has contributed to both the regional historiography of German Jewry and the historiography of the Shoah in Germany. In both respects it affords a further understanding of Jewish life in Nazi Germany. Commencing this study at the beginning of 1933 enables a comprehensive view to emerge of the community as it was on the eve of the Nazi assault. The study then analyses the spiralling events that led to its eventual destruction. The story of the Magdeburg Jewish community in both the public and private domains has been explored from the Nazi accession to power in 1933 up until April 1945, when only a handful of Jews in the city witnessed liberation. This study has combined both archival material and oral history to reconstruct the period. Secondary literature has largely been incorporated and used in a comparative sense and as reference material. This study has interpreted and viewed the period from an essentially Jewish perspective. That is to say, in documenting the experiences of the Jews of Magdeburg, this study has focused almost exclusively on how this population simultaneously lived and grappled with the deteriorating situation. Much attention has been placed on how it reacted and responded at key junctures in the processes of disenfranchisement, exclusion and finally destruction. This discussion also includes how and why Jews reached decisions to abandon their Heimat and what their experiences with departure were. In the final chapter of the community’s story, an exploration has been made of how the majority of those Jews who remained endured the final years of humiliation and stigmatisation. All but a few perished once the implementation of the ‘Final Solution’ reached Magdeburg in April 1942. The epilogue of this study charts the experiences of those who remained in the city, some of whom survived to tell their story.