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Oral presentations Background: We selected peptide ligands for the HIV-1 packaging signal PSI by screening phage displayed peptide libraries. Peptide ligands were optimized by screening spot synthesis peptide membranes. The aim of this study is the functional characterization of these peptide ligands with respect to inhibition of HIV-1 replication. Methods: Phage displayed peptide libraries were screened with PSI-RNA structures. The Trp-rich peptide motifs were optimized for specific binding on spot synthesis peptide membranes. The best binding peptide was expressed intracellularly in fusion with RFP or linked to a protein transduction domain (PTD) for intracellular delivery. The effects on virion production were analyzed using pseudotyped lentiviral particles. Results: After positive and negative selection rounds, phages binding specifically to PSI-RNA were identified by ELISA. Peptide inserts contained conserved motifs of aromatic amino acids known to be implicated in binding of PSI-RNA by the natural Gag ligand. The filter assay identified HKWPWW as the best binding ligand for PSI-RNA, which is delivered into several cell lines by addition of a PTD. Compared to a control peptide, the HKWPWW peptide inhibited HIV-1 replication as deduced from reduced titers of culture supernatants. As HKWPWW also binds to the TAR-RNA like the natural nucleocapsid PSI-RNA ligand, the effect on Tat-TAR inhibition will also be analyzed. Currently T-cell lines are established which stably express HKWPWW as well as a control peptide, which will be infected with HIV-1 to monitor the ability of HKWPWW to inhibit wild type HIV-1 replication. Conclusion: The selection of a peptide ligand for PSI-RNA able to inhibit HIV-1 replication proves the suitability of the phage display technology for the selection of peptides binding to RNA-structures. This enables the indentification of peptides serving as leads to interfere with additional targets in the HIV-1 replication cycle.
Background Anti-angiogenic treatment is believed to have at least cystostatic effects in highly vascularized tumours like pancreatic cancer. In this study, the treatment effects of the angiogenesis inhibitor Cilengitide and gemcitabine were compared with gemcitabine alone in patients with advanced unresectable pancreatic cancer. Methods A multi-national, open-label, controlled, randomized, parallel-group, phase II pilot study was conducted in 20 centers in 7 countries. Cilengitide was administered at 600 mg/m2 twice weekly for 4 weeks per cycle and gemcitabine at 1000 mg/m2 for 3 weeks followed by a week of rest per cycle. The planned treatment period was 6 four-week cycles. The primary endpoint of the study was overall survival and the secondary endpoints were progression-free survival (PFS), response rate, quality of life (QoL), effects on biological markers of disease (CA 19.9) and angiogenesis (vascular endothelial growth factor and basic fibroblast growth factor), and safety. An ancillary study investigated the pharmacokinetics of both drugs in a subset of patients. Results Eighty-nine patients were randomized. The median overall survival was 6.7 months for Cilengitide and gemcitabine and 7.7 months for gemcitabine alone. The median PFS times were 3.6 months and 3.8 months, respectively. The overall response rates were 17% and 14%, and the tumor growth control rates were 54% and 56%, respectively. Changes in the levels of CA 19.9 went in line with the clinical course of the disease, but no apparent relationships were seen with the biological markers of angiogenesis. QoL and safety evaluations were comparable between treatment groups. Pharmacokinetic studies showed no influence of gemcitabine on the pharmacokinetic parameters of Cilengitide and vice versa. Conclusion There were no clinically important differences observed regarding efficacy, safety and QoL between the groups. The observations lay in the range of other clinical studies in this setting. The combination regimen was well tolerated with no adverse effects on the safety, tolerability and pharmacokinetics of either agent.
Die Ursache von Adipositas liegt im übermäßigen Wachstum von Fettgewebe, welches hauptsächlich aus Fettzellen, den Adipozyten, besteht. Die Zellen der stroma-vaskulären Fraktion, welche Vorläuferzellen, Makrophagen und Zellen des lokalen Gefäßnetzwerks enthält, sind außerdem an der Homöostase des Fettgewebes beteiligt. Insbesondere spielt das Gefäßsystem des Fettgewebes in Nagetieren eine wichtige Rolle im Fettgewebewachstum, da die Hemmung der Angiogenese in genetisch- und diät-induzierten fettleibigen Mäusen die Entstehung von Adipositas verhindert. Dennoch wurde das Gefäßsystem des menschlichen Fettgewebes bis heute nicht erforscht. Durch immuno-histochemische Analysen am subkutanen menschlichen Fettgewebe konnten wir zwei verschiedene Gefäßsysteme identifizieren: das vaskuläre Netzwerk des Bluts und das lymphatische vaskuläre Netzwerk. Während die Endothelzellen von beiden Gefäßsystemen die gemeinsamen Endothelzellmarker von Willebrand factor (vWf) und CD31 (PECAM, Platelet Endothelial Cell Adhesion Molecule) exprimierten, konnten die Endothelzellen der Blutgefäße an der Expression des Markers CD34 (Stamm/Blutgefäß-Endothel-Zell-Marker) und die Endothelzellen der Lymphgefäße an der Expression der beiden lymphatischen Marker Podoplanin und VEGFR3 (Vascular Endothelial Growth Factor Receptor 3) spezifisch erkannt werden. Ausschließlich für den Marker CD34-positive Zellen und in Rosetten angeordnete CD31-positive Zellen, welche als residente Makrophagen wurden auch charakterisiert. Um die beiden Gefäßsystemen des menschlichen Fettgewebes weiterhin zu erforschen, haben wir ein auf Immunoselektion basiertes Protokoll entwickelt. Es ermöglicht, Blut- (BEC) und lymphatische (LEC) Endothelzellen aber auch Makrophagen und CD34-positive Zellen spezifisch zu isolieren. Sowohl BEC als auch LEC exprimierten VEGFR1, VEGFR2, vWf und Notch4 und nehmen acetyliertes LDL auf. Darüber hinaus konnte in LEC die Expression von Genen, welche spezifisch für das Lymphgefäßsystem sind, wie Podoplanin, Reelin, VEGFR3, Desmoplakin, LYVE-1 nachgewiesen werden. Durch fluss-cytometrischen Analysen des Anzahls von BEC und LEC im Fettgewebe von Patienten mit unterschiedlichen Body Mass Indices (BMI) wurde entdeckt, dass Fettleibigkeit von einer Erweiterung des vaskulären Netzwerks des Bluts im Fettgewebe begleitet wird, jedoch nicht von einer Erweiterung des lymphatischen vaskulären Systems. Flusscytometrische Analysen belegen, dass es in der CD34-positive Stroma-Zellpopulation Zellen gibt, die den endothelialen Progenitor-Zellmarker CD133 und den primitiven Stammzellmarker ABCG2 exprimieren. Außerdem zeigten die CD34-positive Zellen eine signifikant stärkere Proliferation und Expression von Endothelzellmarkern wie CD31 und vWf, wenn dem Kulturmedium zuvor die Faktoren Vascular Endothelial Growth Factor A (VEGF A) und Insulin-Like Growth Factor-1 zugefügt worden waren. Wurden Mäusen mit Hinterbeinischämie CD34-positive Zellen in vivo injiziert, beteiligten sich diese Zellen an der Neovaskularisation des ischämischen Hinterbeins. Eine signifikante Zunahme des Blutflusses im ischämischen Bein, gekoppelt an einer erhöhten Kapillardichte im ischämischen Muskel und einer Integration der menschlichen Zellen in die Vaskulatur der Maus waren erkennbar. Diese Ergebnisse weisen darauf hin, dass es unter den CD34-positive Zellen eine Population von endothelialen Progenitorzellen gibt, die -bei geeigneter Stimulation- zu Endothelzellen differenzieren. Parallel dazu wurden die lokalen Faktoren untersucht, die potentiell an der Wachstumskontrolle, der Migration und der Organisation der ruhenden, aus dem Fettgewebe stammenden, BEC und LEC beteiligt waren. Sekrete der Adipozyten, jedoch nicht der CD34-positive Zellen, induzierten eine signifikante BEC- und LEC-Proliferation. Außerdem induzierte die Kombination von Leptin und VEGF A oder des basic Fibroblast Growth Factor eine signifikante Zunahme der BrdU-Inkorporation in BEC während Adiponectin, VEGF C und VEGF D bereits alleine konzentrationsabhängig die Proliferation von LEC induzierten. Leptin, und nicht Adiponectin, führte zu signifikant höherer BEC-Migration und Röhrenformung, während Adiponectin, und nicht Leptin, die LEC-Migration und -Organisation förderte. Dabei führte Leptin in BEC und Adiponectin in LEC zeitabhängig zu einer signifikanten Zunahme der Phosphorylierung der Kinase Akt. Diese Ergebnisse belegen, dass die beiden aus Adipozyten stammenden Adipokine Leptin und Adiponectin eine tragende Rolle in der Umverteilung von BEC bzw. LEC spielen. Im Rahmen der Adipositas steigt die Plasmakonzentration von Leptin an während die Plasmakonzentration von Adiponectin sinkt. Unsere Ergebnisse deuten daraufhin, dass Leptin als lokaler pro-angiogenetischer Faktor identifizieren und Adiponectin als neuer lymphangiogenetischer Faktor im menschlichen Fettgewebe beschreiben konnte. Demnach könnten Veränderungen, in der Adipositas, der Adipokinfreisetzung durch Adipozyten am Umbau des vaskulären Netzwerks des Bluts und am ausbleibenden Wachstum des lymphatischen vaskulären Systems innerhalb des Fettgewebes beteiligt sein. Schließlich belegen die vorliegenden Ergebnisse das Vorhandensein einer Progenitor-Zell-Population in der Stroma-Fraktion des menschlichen Fettgewebes. Diese Progenitor-Zellen sind in der Lage sich an der Neovaskularisation ischämischen Gewebes zu beteiligen. Diese Population könnte im Hinblick auf zelltherapeutische Strategien eine interessante Alternative zu Stammzellen aus dem Knochenmark darstellen.
5-LO is the key enzyme in the biosynthesis of proinflammatory leukotrienes, converting arachidonic acid to 5-HPETE, and in a second step 5-HPETE to leukotriene A4. Although the 5-LO promoter possesses characteristics of so called housekeeping genes, such as lack of TATA/CCAAT boxes and existence of several Sp1 binding sites, the 5 -LO gene is tissue specifically expressed in primarily immune competent cells of myeloid origin including granulocytes, monocytes, macrophages, mast cells and B-lymphocytes. 5-LO gene expression in MM6 and HL-60 cells is strongly induced after differentiation of the cells with TGF-beta and 1,25(OH)2D3. In some monocytic cancer cell lines, such as HL-60 TB and U937, TGF-beta and 1,25(OH)2D3 treatment are not able to activate 5-LO gene transcription. It was demonstrated, that in these cell lines the 5-LO core promoter is heavily methylated and that only demethylation by the DNA methyltransferase inhibitor 5-aza-2 deoxycytidine (Adc) upregulated the 5-LO mRNA levels. It was also shown that the histone deacetylase inhibitor TsA could induce 5-LO mRNA levels, but only in 1,25(OH)2D3/TGF-beta inducible MM6 cells. Interestingly the 1,25(OH)2D3/TGF-beta effect on 5-LO expression is reduced, when combined with TsA. Reporter gene assays revealed that 5-LO promoter activity is strongly induced after 24 h treatment with 330 nM TsA (construct N10 up to 35 fold in HeLa cells). The effect is dependent on the presence of the proximal Sp1 binding site GC4 (-53 bp to –48 bp in relation to the major TIS) in both HeLa and MM6 cells. In vitro binding of the transcription factor Sp1 to this site has been demonstrated in gel shift assays and DNase I footprints. Mutation of the binding site resulted in a loss of basal promoter activity in both 5-LO negative HeLa cells and in 5-LO positive MM6 cells, as well as in the loss of TsA inducibility. The mutational study of different Sp1 binding sites in a larger promoter context revealed the interaction or respectively the additive effect of the multiple Sp1 binding sites of the 5-LO promoter on basal as well as on TsA upregulated promoter activity. However, GC4 seems to be of special relevance for both the basal promoter activity, possibly recruiting the basal transcription machinery, as well as for the TsA induced upregulation of 5-LO promoter activity. TsA does not alter the protein expression levels of Sp1 and Sp3 as investigated in Western blot analysis, neither in HeLa nor in MM6 cells. DNA affinity purification assays revealed that TsA had no effect on the DNA affinity of Sp1 or Sp3. In vitro binding of both Sp1 and Sp3 to the 5-fold GC box, GC4 and GC5 was demonstrated by DAPA analysis, but histone deacetylase inhibition did not change the associated protein amounts. Finally, in vivo binding of Sp1 and Sp3 was investigated in chromatin immunoprecipitation assay (ChIP) in MM6 cells. TsA clearly induced the association of both proteins to the promoter area surrounding the TIS. Upon TsA treatment also RNA polymerase II binding to the area surrounding the TIS (-318 to +52 bp) was increased and even initiated in the more distal promoter parts –1049 to –292 bp, which are negatively regulated in reporter gene assays. Interestingly histone H4 is already highly acetylated without TsA treatment and the acetylation status of H4 remains unchanged after histone deacetylase inhibition, indicating an open chromatin structure of the 5-LO gene in MM6 cells. In a cotransfection study with Sp1 and Sp3, the transactivating potential of factors was investigated and in accordance with the ChIP data, Sp1 and Sp3 increased the promoter activity, but only after TsA treatment. In gel shift assays, the influence of DNA methylation on Sp1 binding was investigated. The results indicate different roles for the three proximal promoter sites. Whereas Sp1 binding to the 5-fold GC box and GC4 is impaired by DNA methylation, binding to GC5 is even increased. A cotransfection study with methylated 5-LO promoter constructs and the murine methyl-CpG binding proteins suggest MBD1 involvement in the regulation of the 5-LO promoter. Since in gel shifts Sp1 binding is inhibited by DNA methylation, at least to the 5-fold GC box and the activating element GC4, and similarly the mutation/deletion of the same sites strongly reduces or inhibits promoter activity, it is likely to assume, that the loss of promoter activity after in vitro methylation is in the first place due to impaired Sp1/Sp3 binding. Together the data underline the importance and complexity of Sp1/Sp3 binding to the GC rich sites in the regulation of 5-LO promoter activity in response to the histone deacetylase inhibitor TsA as well as in respect to DNA methylation.
The mitochondrial respiratory chain consists of NADH:ubiquinone oxidoreductase (Complex-I), succinate:ubiquinone reductase (Complex-II), ubiquinol:cytochrome c reductase (Complex-III), cytochrome c oxidase (Complex-IV) and cytochrome c as an electron mediator between Complex-III and Complex-IV. Paracoccus denitrificans membranes were used as a model system for the association of the mitochondrial respiratory chain. More than 50 years ago, a model was given for a supercomplex assembly formed by stable associations between these complexes. This model gradually shifted by the model of random diffusion given by Hackenbrock et al. 1986 Different independent approaches were used to further analyze this situation in a native membrane environment, thus avoiding any perturbation caused by detergent solubilization: (a) measuring the distance and orientation of the different complexes by multi-frequency EPR Spectroscopy we started to analyze simple system, the interaction between CuA fragment derived from P. denitrificans and various c type cytochrome by Pulsed X band and G band (180 GHz) EPR. Partner proteins for the CuA (excess negative surface charge) were (i) horse heart cytochrome c which contain a large number of positive charges in heme crevice,(ii) the cytochrome c552 soluble fragment (physiological electron donor and have positive charges), and as a control (iii) the cytochrome c1 soluble fragment (negative surface potential, derived from bc1 complex) The measurements were performed at several magnetic field positions varying temperature between 5 to 30 K. Both the X band and the high-field measurements show the existence of a strong relaxation enhancement of the CuA by the specific binding of the P. denitrificans cytochrome c552 and horse heart cytochrome c. This relaxation enhancement is dependent on temperature and provides information about the distance and relative orientation of the two interacting spins within this protein-protein complex. (b) For quantitative information about lateral diffusion of cytochrome c oxidase in the native membrane Fluorescence Correlation Spectroscopy (FCS) was used. In this experiment, diffusion coefficients for oxidase differ in the case of supercomplex for wild type membrane and for two deletion mutants lacking either Complex-I or Complex-III. (c) The optical absorption spectroscopy at microsecond level resolution was tried for the translational mobility of oxidase in membrane vesicles. Due to the presence of different hemes in the native membrane, carbon monoxide (CO) used as a probe for the experiment. The optimization of the experimental conditions were carried out to get the optimal signal.
This paper is intended to show how Latinos in general and Mexican Americans, Cuban Americans, and Puerto Ricans in particular, engage politically in the United States. Latinos execute their influence by voting or in non-electoral activities like campaign work or financial contributions. As an individual, one participates as a member of society and possibly as a member of an interest group, i.e. a party. Thus, to be successful, it is necessary to combine one’s personal interest with that of others in order to form an alliance that, due to its size, may have an impact on the political stage. This study will show which factors are necessary and which steps were taken to gain and enhance Latino political influence. In doing so, it will become clear that Mexican Americans, Cuban Americans, and Puerto Ricans all started their struggle from diverse backgrounds and possess significantly different goals. Although common language unites these three national-origin groups, they do not have the same political and economic resources at their disposal. Decisive differences in immigration politics, naturalization, and economic opportunities become visible and will prove a distinct heterogeneity of Latinos concerning political behavior and goals. Political activities of Mexican Americans, Cuban Americans, and Puerto Ricans will be outlined as well as how they differ from each other. In doing so, it is necessary to take notice of their specific histories and legal experiences upon arrival in the United States. Furthermore, different demographic factors of the three national-origin groups additionally affect political participation. An understanding of Latino political participation should be in the interest of the U.S. public as well as scholars engaging in American Studies. This biggest minority increasingly makes its presence felt in the electoral arena, especially at the state level. In states such as California, Texas, Florida and New Mexico Latinos constitute decisive voting blocs. But also, Latinos nationwide enlarge their political clout, due to cumulative numbers and a more developed political consciousness. With this national and state level significance of the Latino electorate, examining their policy preferences and goals has become progressively more important to the understanding of the U.S. political scene. The approach here is twofold. First, political participation of the Latino population as a whole will be researched; using numbers and results from the presidential election 2004. In this part of the paper, the concept of pan-ethnicity using the label Latino will be used to sum up Spanish-speaking nationalities and their political efforts. In order to be eligible to vote, certain legal requirements are to be met, so factors that account for voting will be outlined first. In accordance with the large share of non-citizens among the Latino population, it is also necessary to examine their non-electoral political activities. The second part will portray Latinos in more detail, examining the three largest national-origin groups. By demonstrating their specific histories and varied experiences and opportunities in U.S. politics, it will become clear that when talking about Latino Politics, it is indispensable to bear in mind the heterogeneity of America’s biggest minority and the side effects this has.
Although in general cells are genetically identical in multicellular organisms, the differential expression of genomic information enables cell type definition and specific organ function. In eukaryotic cells, the DNA is associated with histone and non-histones proteins into a restrictive structure called chromatin. Assembly into chromatin does not only protect and package the linear double stranded DNA into the nucleus but is fundamental for the execution of diverse genetic programs. Posttranslational modifications of histones regulate the accessibility of the DNA to transcription factors and serve as scaffold for binding of regulatory proteins. Nuclear receptors are transcription factors that bind specific target sequences on the DNA and recruit transcriptional coregulators at the promoter. These are able to modify the chromatin structure in an activating or repressing manner. The contribution of corepressors to the biological actions of nuclear receptors has turned out to be essential. Impaired corepressor function can be the cause of endocrine malfunctions, neoplastic diseases or severe developmental abnormalities. To better understand the role of the nuclear receptor corepressor N-CoR the unknown function of the extreme C-terminus was investigated. In this thesis the interaction of N-CoR with the non-POU-domain containing octamer-binding protein Non0/p54nrb, that was found tobe a potential interaction partner in a yeast-two-hybrid screen, was confirmed. This protein contains two RNA recognition motifs (RRM) and is described as a multifunctional protein since it is involved in transcription Initiation as well as in pre-mRNA processing. The RRM1 motif was determined to be essential and sufficient for the interaction with N-CoR. Obtaining dominant negative effect with the Non0/p54nrb RRM1 deletion mutant in functional reporter assays, data support that NonO modulates the capacity of N-CoR to repress and alters the recruitment of N-CoR by nuclear receptors to targeted Promoters. Additional analyses suggest that the N- and C- terminus of N-CoR are involved in intramolecular interactions and that they regulate each other. Taken results together a functional model is proposed that supports the biological relevance of the interaction of N-CoR with NonO and the function of N-CoR C-terminus acting as asensor that evaluates the ratio of corepressors and coactivators in the nuclear receptor environment. N-CoR repressive capacity would be altered by modulating factors like NonO that interacts with N-CoR C-terminus. The mechanism support that splicing and transcription regulation are physically and functionallylinked to ensure the appropriate amount of messager RNA to be transcript and process in response to stimulation intensity and cell context.
Ribosomal proteins are assumed to stabilize specific RNA structures and promote compact folding of the large rRNA. The conformational dynamics of the protein between the bound and unbound state play an important role in the binding process. We have studied those dynamical changes in detail for the highly conserved complex between the ribosomal protein L11 and the GTPase region of 23S rRNA. The RNA domain is compactly folded into a well defined tertiary structure, which is further stabilized by the association with the C-terminal domain of the L11 protein (L11ctd). In addition, the N-terminal domain of L11 (L11ntd) is implicated in the binding of the natural thiazole antibiotic thiostrepton, which disrupts the elongation factor function. We have studied the conformation of the ribosomal protein and its dynamics by NMR in the unbound state, the RNA bound state and in the ternary complex with the RNA and thiostrepton. Our data reveal a rearrangement of the L11ntd, placing it closer to the RNA after binding of thiostrepton, which may prevent binding of elongation factors. We propose a model for the ternary L11–RNA–thiostrepton complex that is additionally based on interaction data and conformational information of the L11 protein. The model is consistent with earlier findings and provides an explanation for the role of L11ntd in elongation factor binding.
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.
The University library in Frankfurt/Main owns the largest collection of literature on Judaism and Israel in Germany and one of the major collections in the world. Its task is to document the history of the Jewish people and to serve as a resource for study and research in Germany. The Jewish Division is therefore collecting all relevant national and international publications covering all aspects of post-biblical Judaism and Jewish culture in a most comprehensive manner, as well as all publications on the modern State of Israel. Two databases offer access to the large collections of the Judaica-Division. Yiddish Literature is the database that offers online access to the page images of the outstanding historical Yiddish collection, containing about 800 extremely rare and precious Yiddish and German-Jewish books printed in Hebrew letters from the 16th century onwards. Compact memory is a gateway to more than 100 Jewish periodicals in the German language area published in the 19th and 20th century, providing partly images, partly full-text-search and a bibliographic database of articles. The implementation of a third, new digital project, the »Virtual Judaica-collection« has just started - the digitization and online-presentation of the historical Judaica resources. Formed by his curator Prof. Aron Freimann, it was the largest and most significant Judaica collection on the European continent before the war. The goal is to offer free access to about 18.000 books with 2 Mill. pages over the web. In light of these developments, the presentation will evaluate the current possibilities of German-North-American cooperation in the area of digital projects.