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G protein-coupled receptors (GPCRs) comprise the largest membrane protein family and play an essential role in signal transduction through the cell membrane. They are currently the targets of approximately 50 % of the pharmaceuticals on the market (Klabunde and Hessler, 2002). However, only one high-resolution GPCR structure has been determined up to now, that of bovine rhodopsin (Palczewski et al., 2000). The GPCR activation and regulation mechanisms are still unknown and other GPCR structures are thus required. MePNet (Membrane Protein Network) was a European consortium dedicated to structural studies of GPCRs. The approach was to produce 100 GPCRs in three expression systems (Escherichia coli, Pichia pastoris and Semliki Forest Virus infected mammalian cells) in order to select at each step of the process (production, solubilization, purification) the constructs that fulfilled quantity and quality (functionality) requirements for crystallization trials. In our team, we screened 38 of the 100 targets in P. pastoris. For each receptor, the clone with the highest production level was identified by dot-blot. The size and homogeneity of each receptor were then analyzed by Western-blot. The human adenosine A2A receptor showed a well-defined and pronounced single band and was thus selected for further characterization. The adenosine A2A receptor is a GPCR mainly localized in the central nervous system and, as it antagonizes dopaminergic activity, it has great potential as a drug target for the treatment of Parkinson’s disease. Functional characterization by binding assays with the specific antagonist [3H]-ZM241385 demonstrated a Bmax of 56 +/- 3 pmol/mg i.e. pmol of binder per milligram of total membrane protein, and a KD of 0.40 +/- 0.02 nM. Receptor production was then improved by lowering the induction temperature, decreasing the induction time and adding DMSO to the medium. For large-scale production, fermention reached around 300 g cells (wet weight)/L culture, which provided 43 mg of functional receptor in membranes per liter of culture. Functional solubilization was achieved with dodecyl-β-D-maltoside and the soluble yield was increased to 70-80 % of the membrane content by addition of cholesteryl hemisuccinate and increasing the ionic strength. The receptor was successfully purified via Ni-NTA and monomeric avidin chromatography in the presence of the antagonist ZM241385. This strategy produced a pure, homogeneous and stable receptor preparation with functionality demonstrated by radioligand binding assays. The total receptor yield after purification was routinely around 20 % of the membrane functional receptor content and 2 g of membranes provided 4 mg of pure receptor for crystallization trials. GPCRs are very difficult targets for crystallization, and co-crystallization with antibody fragments has been shown to be a successful method for crystallization of membrane proteins. In order to develop such a tool for the adenosine A2A receptor, a single-chain Fv (scFv) fragment specific to the purified receptor was selected by phage display. The receptor was functionally immobilized on the surface of streptavidin beads and after two rounds of selection, 6 different phages were identified several times. After production in E. coli and purification via Ni-NTA affinity chromatography, 4 out of the 6 scFv fragments were sufficiently enriched to be tested by ELISA. For the ELISA, the receptor was functionally immobilized via the biotinylation domain of the construct in a 96-well streptavidin-coated plate. The antibody fragments binding to the receptor were identified based on interaction with HRP-conjugated protein L. One scFv fragment gave a positive ELISA signal 10 fold above background and titration of the scFv fragment binding to the receptor was specific and saturable. However no complex of scFv fragment and receptor was observed on gel filtration. In order to have a more sensitive detection method, the scFv fragment was labeled with fluorescein: a complex was then observed up on gel filtration but the binding appeared to be non-specific. A pull-down assay with immobilized non-labeled scFv fragment finally confirmed the specificity of the binding, but also the low affinity of the interaction. Affinity maturation of this specific scFv fragment by a random mutagenesis and selection process should improve this parameter in order to obtain an adapted tool for co-crystallization.
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 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.
Boswellia serrata gum resin extracts (frankincense) have been used for centuries in folk medicine in Asia and Africa. They have shown beneficial therapeutic effects, particularly in the treatment of chronic inflammatory diseases. Clinical studies on humans confirmed an anti-inflammatory and anti-cancer potential of Frankincense preparations. Boswellic acids (BAs) are the major ingredients, responsible for the pharmacological action of the extracts. Molecular and cellular studies with BAs revealed a number of targets including 5-lipoxygenase (LO), topoisomerases and the NF-κB pathway. Since there is little information on the modulation of cellular physiology by BAs, this work was designed to provide a detailed investigation of the cellular and molecular effects of BAs in several cell types related to inflammation. We report that 11-keto-BAs are potent activators of functional responses in human neutrophils, a type of leukocytes mediating acute inflammatory processes. Neutrophil activation by 11-keto-BAs is reflected by enhanced generation of oxygen radicals, release of arachidonic acid (AA) and the subsequent transformation of AA to pro-inflammatory eicosanoids. Investigation of the participating signalling pathways identified Ca2+, phosphoinositide-3 kinase, and members of the MAP kinase family (ERKs) as mediators. Second, we present a detailed study of the modulation of human platelet physiology and intracellular signalling events by BAs. Intriguingly, we discovered an inverse structure-activity relationship of BAs regarding platelet activation, with 11-methylene-BAs being superior over 11-keto-BAs. Thus, 11-methylene-BAs stimulated platelet Ca2+ mobilisation, MAP kinase and Akt activation, AA release, 12-LO and cyclooxygenase product formation, and thrombin generation. Novel Ca2+-independent activation pathways of platelet lipid metabolism were discovered. In contrast, 11-keto-BAs were inactive but found to inhibit platelet (p)12-LO directly. Interaction with p12-LO was confirmed in a pulldown assay using immobilised BAs as bait. Finally, BAs were shown to attenuate the activation of monocytes, a cell type responsible for the maintenance of chronic inflammatory states. Impairment of Ca2+ homeostasis is likely conferred by inhibition of Ca2+ influx channels. Taken together, our results shed light on the modulation of intracellular physiology of inflammatory cells by BAs, contributing to a better understanding of the anti-inflammatory effects exerted by frankincense preparations.
Alzheimer’s Disease (AD) is the most common neurodegenerative disorder marked by progressive loss of memory and cognitive ability. The pathology of AD is characterised by the presence of amyloid plaques, intracellular neurofibrillary tangles and pronounced cell death. The aim of this thesis was to investigate pathways involved in the Aß cascade of neurodegeneration. Since novel findings indicate that already this Aß species exerts neurotoxic effects long before hyperphosphorylated tau, neurofibrillary tangles and extracellular Aß plaques appear, the investigations were accomplished with specific regard to the effects of intracellular Aß. The Swedish double mutation in the APP gene results in six- to eightfold increased Aß production of both Aß1-40 and Aß1-42 compared to human wildtype APP cells (APPwt). Data obtained from PC12 cells indicate that it is possible to specifically increase the Aß load without enhancing APP expression levels. On the basis of these findings, it seemed possible to investigate dose-dependent effects of Aß in multiple experimental designs. These assay designs were created in order to mimick different in-vivo situations that are discussed to occur in AD patients: APPsw PC12 cells exhibit low physiological concentrations of Aß within picomolar range in contrast to APPsw HEK cells, expressing Aß levels within the nanomolar range. Of note, the APPsw HEK cells showed a specific and highly significant increase in the intracellular accumulation of insoluble Aß1-42. Moreover, an intracellular accumulation of Aß and APP was found in the mitochondria of the HEK APPsw cells suggesting a direct impact on mitochondrial function on these cells. This effect might finally lead to disturbances in the energy metabolism of the cell or to increased cell death. Furthermore, baseline g- and ß-secretase activity was assessed since these enzymes represent promising therapeutic targets to slow or halt the disease process. As expected, ß-secretase activity was significantly elevated in all APPsw cell lines. This might be due to the proximity of the Swedish double mutation next to the N-terminus of the Aß sequence. Interestingly, g-secretase activity was similarly increased in PC12 APPsw cells. In addition, the toxicity of different Aß species was investigated in SY5Y and PC12 cells with regard to their effect on cellular viability mirrored by mitochondrial activity using MTT assay. Here, it turned out that not monomers, but already dimers are neurotoxic correlates. Fibrillar Aß species showed the highest toxicity. In the next step, SY5Y cells forming endogenous, dimeric APP and Aß were investigated. In accordance with previous findings, these cells showed a decreased MTT reduction potential in comparison to APPwt and control SY5Y cells reflecting a decrease of cellular viability. The impaired energy metabolism of the cells was even more drastically mirrored by reduced baseline ATP levels. In the second part of this thesis, the expression and intracellular distribution of Bcl-2 family proteins and pro-apoptotic mitochondrial factors under baseline conditions and during oxidative stress were analyzed in the APPwt and APPsw bearing cells. The most prominent finding was the reduction of expression levels of the anti-apoptotic factor Bcl-xL in the cytosolic fractions of APPwt and APPsw PC12 cells. This might indicate that a lack of anti-apoptotic factors or their altered intracellular distribution, rather than an increase in caspase-dependent pro-apoptotic factors, could be responsible for the increased vulnerability of APPwt- and APPsw-transfected PC12 cells against oxidative stress. Since total Bcl-xL expression was unaffected in PC12 cells, in contrast to APPwt and APPsw-expressing SY5Y and HEK cells revealing significantly decreased Bcl-xL expression levels. Thus, alterations in Bcl-xL distribution seem to be an early event in the disease process. Increasing Bcl-xL expression might potentially be one promising strategy for AD modification. PC12 and HEK cells bearing APPsw or APPwt were treated with the potent g-secretase inhibitor DAPT. Of note, DAPT did not only efficiently block Aß production, but additionally led to an elevation of the MTT reduction potential, reflecting an increase in cellular viability. As another disease-modifying strategy, several efforts are undertaken to ameliorate AD-relevant symptoms by the treatment with nerve growth factor (NGF). Generally, it is known that substituted pyrimidines have modest growth-promoting effects. Here, KP544, a novel substituted pyrimidine, was characterised. This drug increased MTT reduction potential in terminally differentiated and undifferentiated PC12 cells. Furthermore, treatment with KP544 led to a reduction in Aß1-40 secretion. Thus, one may conclude that the target of KP544, GSK-3ß, represents a connecting link between the two main pathological hallmarks of AD and might thus be a very promising therapeutic target for AD.