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More than 70 years ago, the effects of extracellular adenosine 5'-triphosphate (ATP), a newly identified and purified biomolecule at that time (Fiske and Subbarow, 1925; Lohmann, 1929) were observed by Drury and Szent-Györgyi (1929). Since then, many pharmacological studies were carried out with extracellular adenine nucleotides in various intact organ systems, isolated tissues, and purified cell preparations. Yet it was not until 1972 that Burnstock introduced the concept of "purinergic nerves" and suggested that ATP might fulfil the criteria generally regarded as necessary for establishing a substance as a neurotransmitter, summarised by Eccles (1964):
• synthesis and storage of transmitter in nerve terminals
Strips of guinea-pig taenia coli (GPTC) were shown to take up large amounts of tritium-labelled adenosine when incubated with tritium-labelled adenosine, adenosine 5'-monophosphate (AMP), adenosine 5'-diphosphate (ADP) and ATP. The nucleoside was rapidly converted into and retained largely as [ 3 H]-ATP (Su et al., 1971).
• release of transmitter during nerve stimulation
Spontaneous relaxation of GPTC as well as relaxations induced by nerve stimulation or nicotine, respectively, in the presence of compounds which block adrenergic and cholinergic responses were accompanied by a remarkable increase in release of tritium-labelled material from taenia coli incubated in [ 3 H]-adenosine (Su et al., 1971).
• postjunctional responses to exogenous transmitters that mimic responses to nerve stimulation
Burnstock et al. (1966) characterised ATP and ADP as the most potent inhibitory purine compounds in the gut and observed that the effects of ATP mimic more closely the inhibitory response of the taenia to non-adrenergic nerve-stimulation than to adrenergic nerve stimulation (Burnstock et al., 1970).
enzymes that inactivate the transmitter and/or uptake systems for the transmitter or its breakdown products
When ATP was added to a perfusion fluid recycled through the vasculature of the stomach, very little ATP remained, but the perfusate contained substantially increased amounts of adenosine and inosine, as well as some ADP and AMP (Burnstock et al., 1970).
• drugs that can produce parallel blocking of potentiating effects on the responses of both exogenous transmitter and nerve stimulation
Tachyphylaxis to ATP produced in the rabbit ileum resulted in a consistent depression of responses to non-adrenergic inhibitory nerve stimulation, whereas responses to adrenergic nerve stimulation remained unaffected (Burnstock et al., 1970). Lower concentrations of quinidine reduced and finally abolished relaxation of GPTC induced by noradrenaline (NA) and by adrenergic nerve stimulation. Using higher concentrations of the compound, relaxant responses of GPTC to ATP as well as to non-adrenergic inhibitory nerve stimulation were abolished (Burnstock et al., 1970). ...
The development of novel drugs targeting GPCRs is of particular interest since modulation of subfamilies of this receptor class highly influences neurotransmission in the central nervous system. This study has focused on the development of ligands for the dopamine D3 receptor. The receptor belongs to the dopamine D2-like family among the biogenic amine binding GPCRs. The dopamine D3 receptor is involved in neurological and neuropsychiatric disorders such as Parkinson’s disease, schizophrenia and drug addiction. Due to its close structural similarity to the dopamine D2 receptor subtype, it is still a challenge to identify and further optimize new leads. Therefore an in vitro screening assay, which also allows elucidating comprehensive structure-affinity relationships, is required. In this investigation the implementation and evaluation of radioligand binding assays for human dopamine D2S and dopamine D3 receptors and for the related aminergic human histamine H1 receptor stably expressed in Chinese hamster ovary (CHO) cells has been performed. Saturation binding experiments with [³H]spiperone at dopamine D2S and D3 receptors and with [³H]mepyramine at histamine H1 receptors were carried out. The determined equilibrium dissociation constant of radioligands (Kd) and the total number of specific binding sites (Bmax) of the receptor membrane preparations were in good agreement with reference data. Inhibition constants (Ki) of reference ligands obtained in radioligand competition binding experiments at dopamine hD2S, hD3 and histamine H1 receptors validated the reliability and reproducibility of the assay. In order to discriminate agonists from antagonists, a GTP shift assay has been investigated for dopamine D2S and D3 receptors. In competition binding studies at dopamine D2S receptors the high- and low affinity state in the absence of the GTP analogue Gpp(NH)p has been recognized for the agonists pramipexole and the seleno analogue 54. In the presence of Gpp(NH)p a decrease in affinity, referred to as “GTP shift”, has been revealed for agonists at dopamine D2S and D3 receptors. An effect of Gpp(NH)p on dopamine D2S receptor binding has not been observed for the antagonists ST 198 and BP 897, while a reverse “GTP shift” has been noticed at the dopamine D3 receptor. For the development of novel ligands with high affinity and selectivity for dopamine D3 receptors, investigation in refined structure-affinity relationships (SAR) of analogues of the lead BP 897 has been performed. Replacement of the naphthalen-2-carboxamide of BP 897 by aryl amide residues (1 - 4) had a clear influence on affinity binding and selectivity for dopamine D3 receptors. Introduction of the benzo[b]thiophen-2-carboxamide (1) has markedly improved binding with subnanomolar affinity and enhanced selectivity for dopamine D3 receptors. Exchanging the aryl substituted basic alkanamine residue of 1 by a 1,2,3,4-tetrahydroisoquinoline moiety (6) emphasized the benefit of the 4-(2-methoxyphenyl) piperazine residue of BP 897 regarding dopamine D2 and D3 receptor affinities. The change of particular elements of BP 897 and the rearrangement of the amide functionality resulted in inverse amide compounds with new chemical properties. Moderate affinity binding data, as obtained for the isoindol-1-carbonyl compound 11, suggest that inverse amides provide a worthwhile new lead structure with a novel structural scaffold. A hybrid approach combining privileged scaffolds of histamine H1 receptor antagonists and fragments of dopamine D3 receptor-preferring ligands, related to BP 897and analogues has been investigated. Various benzhydrylpiperazine derivatives and related structures have shown moderate to high affinities for dopamine D3 receptors with the impressive enhancement of the cinnamide substituted bamipine-related hybrid 39, exhibiting the highest affinity and selectivity for dopamine D3 receptors. Improved affinity profiles of structural modified histamine H1 receptor antagonists for dopamine D2 and D3 receptors and a refined SAR has been achieved. A SAR of derivatives of the dopamine agonist pramipexole and the related etrabamine has been studied. The propargyl substituted etrabamine derivative 61 demonstrated highest affinity and selectivity. The ligand attracts attention since neuroprotective properties have been reported for the propargyl functionality. Further development resulted in the most promising compound 64, a cinnamide derivative with 4-fluoro substitution on the phenyl ring. Subnanomolar affinity and remarkable selectivity for dopamine D3 receptors has aroused particular interest in this ligand due to its development potential as a radioligand for PET studies. Radioligand binding studies in combination with virtual screening and different classification techniques of chemoinformatic methods resulted in further elucidation of SAR. New leads with novel chemical scaffolds have been found in the bicycle[2.2.1]heptane derivative 95 and the benzhydrylidene substituted pyrrolidindione 112 and can be further optimized by chemical modifications. The outcome of the studies provides the development of various novel high affine and dopamine D3 receptor selective ligands. Modifications of lead structures or application of chemoinformatic tools in combination with radioligand competition binding assays have resulted in new leads with different chemical scaffolds. Furthermore, a comprehensive insight into structure-affinity relationships of ligands at dopamine D3 receptors has been revealed. This refined SAR is valuable to develop more affine and selective drug candidates with a designed pharmacological receptor profile.
The aim of the thesis was to identify structure activity relationships (SAR) in the primary screening data of high-throughput screening (HTS) assays. The strategy was to perform a hierarchical clustering of the molecules, assign the primary screening data to the created clusters and derive models from the clusters. The models should serve to identify singletons, clusters enriched with actives, not confirmed hits and false-negatives. Two hierarchical clustering algorithms, NIPALSTREE and hierarchical k-means have been developed and adapted for this purpose, respectively. A graphical user interface (GUI) has been implemented to extract SAR from the clustering results. Retrospective and prospective applications of the clustering approach were performed. SAR models were created by combining the clustering results with different chemoinformatic methods. NIPALSTREE projects a data set onto one dimension using principle component analysis. The data set is sorted according to the scoring vector and split at the median position into two subsets. The algorithm is applied recursively onto the subsets. The hierarchical k-means recursively separates a data set into two clusters using the k-means algorithm. Both algorithms are capable of clustering large data sets with more than a million data points. They were validated and compared to each other on the basis of different structural classes. NIPALSTREE provided with the loading vectors first insights into SAR whereas the hierarchical k-means yielded superior results. A GUI was developed allowing the display of and the navigation in the clustering results. Functionalities were integrated to analyse the clusters in the dendrogram, molecules in a cluster, and physicochemical properties of a molecule. Measures were developed to identify clusters enriched with actives, to characterize singletons and to analyse selectivity and specificity. Different protease inhibitors of the COBRA database were examined using the hierarchical k-means algorithm. Supported by similarity searches and nearest neighbour analyses thrombin inhibitor singletons were quickly isolated and displayed in the dendrogram. By scaling enrichment factors to the logarithm of the dendrogram level, clusters enriched with different structural classes of factor Xa inhibitors were simultaneously identified. The observed co-clustering of other protease inhibitors provided a deeper insight into selectivity and specificity and shows the utility of the approach for constructing focussed screening libraries. Specificity was analyzed by extracting and clustering relative frequencies of the protease inhibitors from the clusters of dendrogram level 7. A unique ligand based point of view on the pocketome of the protease enzymes was obtained. To identify not confirmed hits and false-negatives in the primary screening data of HTS assays, three assays were retrospectively analysed with the hierarchical k-means algorithm. A rule catalogue was developed judging hits in terminal clusters based on the cluster size, the percent control values of the entries in a cluster, the overall hit rate, the hit rate in the cluster and the environment of a cluster in the dendrogram. It resulted in the identification of a high proportion of not confirmed hits and provided for each hit a rating in context of related non-hits. This allows prioritizing compounds for follow-up studies. Non-hits and hits were retrieved from terminal clusters containing hits. Molecules bearing false-negative scaffolds were co-extracted and enriched. To minimize the number of false-positives in the extracted lists, Bayesian regularized artificial neutral network classification models were trained with the data. Applying the models marked improvement of enrichment factors for the false-negatives was obtained. It proofs the scaffold-hopping potential of the approach. NIPALSTREE, the hierarchical k-means algorithm and self-organising maps were prospectively applied to identify novel lead candidates for dopamine D3 receptors. Compounds with novel scaffolds and low nanomolar binding affinity (65 nM, compound 42) were identified. To provide a deeper insight into the SAR of these molecules, different alternative computational methods were employed. Support vector-based regression and partial least squares were examined. Predictive models for dopamine D2 and D3 receptor binding affinity values were obtained. Important features explaining SAR were extracted from the models. The prospective application of the models to the diverse and novel virtual screening data was of limited success only. Docking studies were performed using a homology model of the dopamine D3 receptor. The visual inspection of the binding modes resulted in the hypothesis of two alternative binding pockets for the aryl moiety of dopamine D3 receptor antagonists. A pharmacophore model was created simultaneously requiring both aryl moieties. Virtual screening with the model identified a nanomolar hit (65 nM, compound 59) corroborating the hypothesis of the two binding pockets and providing a new lead structure for dopamine D3 receptors. The presented data shows that the combined approach of hierarchically clustering a data set in combination with the subsequent usage of the clusters for model generation is suited to extract SAR from screening data. The models are successful in identifying singletons, clusters enriched with actives, not confirmed hits and false-negative scaffolds.