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The p38α mitogen-activated protein kinase (MAPK) is activated through stress stimuli such as heat shock or hypoxia. In the nucleus, p38α modulates the activity of other kinases and transcription factors, a process that regulates the expression of specific target genes, most importantly pro-inflammatory cytokines. Dysregulation of p38α therefore plays a major role in the development of inflammatory diseases such as rheumatoid arthritis. Despite many years of intensive research, no p38 small-molecule inhibitors have been approved yet. Several inhibitor design strategies have been reported, leading to >100-fold selective compounds for α/β over the γ and δ isoforms. Achieving such a selectivity among the two structurally most related α and β isoforms, however, remains a challenging task. Targeting an inactive DFG-out conformation offers another strategy for the development of potent kinase inhibitors (type-II), exemplified by the BCR/ABL-inhibitor Imatinib. Achieving selectivity with type-II binders is challenging, because many kinases can adopt an inactive DFG-out conformation. This is exemplified by the p38 type-II inhibitor BIRB-796, which exhibits picomolar on-target affinity but only a poor kinome-wide selectivity. A potent and selective type-II chemical probe for p38α/β was still lacking at the start of this thesis.
The promising hit VPC-00628, was chosen for a combinatorial synthetic approach to develop a type-II chemical probe. The studies covered the optimization of the hinge-binding head group, the hydrophobic region I and the DFG-out deep pocket of the lead compound VPC-00628. Selectivity for the p38α and p38β isoforms was monitored during the optimization process, which identified several inhibitors with favorable isoform selectivity, providing valuable insights into the potential of isoform-selective inhibitor design for p38. A potent and highly selective p38 MAPK probe (SR-318) was discovered, which showed IC50 values in the low nanomolar range in HEK293T cells. An unusual P-loop conformation induced upon binding of SR-318 to p38α contributed most likely to the impressive selectivity profile within the kinome that surpassed both the parent compound and BIRB-796. A negative control compound, SR-321, was developed, to distinguish between on-target effects and non-specific effects due to cross-reactivity with other cellular proteins. Studies of the metabolic stability in human liver microsomes revealed a high stability of the compounds, with only a small amount of metabolites formed over several hours. Compound SR-318 also exhibited a good in vitro efficacy, quantitatively reducing the LPS-stimulated TNF-α release in whole blood. Taken together, SR-318 is a highly potent and selective type-II p38α/β chemical probe, which will help to gain a better understanding of the catalytic and non-catalytic functions of these key signaling kinases in physiology and pathology.
The next studies focused on the exploration of the highly dynamic allosteric back pocket of p38 MAPK, and allosteric BIRB-796 derived compounds for targeting the αC- and DFG-out pockets were synthesized. Kinase activities of allosteric pyrazole-urea fragments were analyzed against a comprehensive set of 47 diverse kinases by differential scanning fluorimetry (DSF), revealing that BIRB-796 off-targets remain a problem when targeting this back-pocket binding motif. Revisiting the recently published compound MCP-081, which combines the allosteric part of BIRB-796 with the active-site directed part of VPC-00628, showed that it displays a clean selectivity profile in our kinase panel. Because the potency of MCP-081 was slightly reduced compared with VPC-00628 and the allosteric tert-butyl pyrazole moiety seemed suboptimal, a set of VPC-00628 derivatives for targeting the αC-out pocket region was synthesized. Through structure-guided extension of the terminal amide of VPC-00628 toward this allosteric site, the potent and selective compound SR-43 was developed, which showed excellent cellular activity on p38 MAPK in NanoBRETTM assays (IC50 [p38α/β] = 14.0 ± 0.1/ 16.8 ± 0.1 nM). SR-43 showed a dose-dependent inhibition of activating phosphorylation of p38 in HCT-15 cells as well as inhibition of phosphorylation of p38 downstream substrates MK2 and Hsp27. In addition, SR-43 induced an anti-inflammatory response by blocking TNF-α release in whole blood and displayed a high metabolic stability. Selectivity profiling of SR-43 revealed a narrow selectivity for additional targets such as the discoidin domain receptor kinases (DDR1/2). DDR kinases play a central role in fibrotic disorders, such as renal and pulmonale fibrosis, atherosclerosis and different forms of cancer. Since selective and potent inhibitors for these important therapeutic targets are largely lacking and the existing inhibitors are of low scaffold diversity, the next study focused on the optimization of SR-43 toward DDR1/2 kinase inhibition. The synthetic work covered the optimization of the hinge-binding head group and the allosteric part of SR-43 toward DDR1/2 kinase inhibition. These studies provided novel insights into the P-loop folding process of p38 MAPK and how targeting of non-conserved amino acids affects inhibitor selectivity. Importantly, they led to the development of a selective dual DDR/p38 inhibitor probe, SR-302, with picomolar affinity for DDR2. SR-302 was efficient in vitro and showed a destabilizing effect on the surface adhesion protein E-cadherin in epithelial cells. In summary, SR-302 and its negative control SR-301 provide a valuable tool set for studying the phenotypic effects of DDR1/2 signaling, e.g., in cancer cell lines.
Guanosine triphosphate (GTP) cyclohydrolase I (GCH1) catalyzes the conversion of GTP to dihydroneopterin triphosphate (H2NTP), the initiating step in the biosynthesis of tetrahydrobiopterin (BH4). Besides other roles, BH4 functions as cofactor in neurotransmitter biosynthesis. The BH4 biosynthetic pathway and GCH1 have been identified as promising targets to treat pain disorders in patients. The function of mammalian GCH1s is regulated by a metabolic sensing mechanism involving a regulator protein, GCH1 feedback regulatory protein (GFRP). GFRP binds to GCH1 to form inhibited or activated complexes dependent on availability of cofactor ligands, BH4 and phenylalanine, respectively. We determined high-resolution structures of human GCH1−GFRP complexes by cryoelectron microscopy (cryo-EM). Cryo-EM revealed structural flexibility of specific and relevant surface lining loops, which previously was not detected by X-ray crystallography due to crystal packing effects. Further, we studied allosteric regulation of isolated GCH1 by X-ray crystallography. Using the combined structural information, we are able to obtain a comprehensive picture of the mechanism of allosteric regulation. Local rearrangements in the allosteric pocket upon BH4 binding result in drastic changes in the quaternary structure of the enzyme, leading to a more compact, tense form of the inhibited protein, and translocate to the active site, leading to an open, more flexible structure of its surroundings. Inhibition of the enzymatic activity is not a result of hindrance of substrate binding, but rather a consequence of accelerated substrate binding kinetics as shown by saturation transfer difference NMR (STD-NMR) and site-directed mutagenesis. We propose a dissociation rate controlled mechanism of allosteric, noncompetitive inhibition.
Human protein kinases play essential roles in cellular signaling pathways and - if deregulated - are linked to a large diversity of diseases such as cancer and inflammation or to metabolic diseases. Because of their key role in disease development or progression, kinases have developed into major drug targets resulting in the approval of 52 kinase inhibitors by the Food and Drug Administration (FDA) so far.
Within the drug discovery process, the affinity of the inhibitors is the parameter that is used most often to predict the later efficacy in humans. However, the kinetics of binding have recently emerged as an important but largely neglected factor of kinase inhibitor efficacy. To efficiently suppress a signaling pathway, the targeted kinase needs to be continuously inhibited. Thus, it has been hypothesized that fast binding on-rates and slow off-rates would be the preferred property of an efficacious inhibitor. Despite optimizing the potency of kinase inhibitors, in the past decade optimization of kinetic selectivity has therefore gained interest as a molecule cannot be active unless it is bound, as Paul Ehrlich once stated. There is increasing evidence of correlations between prolonged drug-target residence time and increased drug efficacy, and that inhibitor selectivity in cellular contexts can be modulated by altered residence times. In order to contribute to the understanding of the effect of long residence times on cellular targets we initiated two projects.
The first of these projects is related to the STE20 kinase Serine/threonine kinase 10 (STK10) and its close relative STE20 like kinase (SLK) which have been reported to be frequent off-targets for kinase inhibitors used in the clinics. Also, an inhibition of STK10 and SLK has been linked to a common side-effect of severe skin rash developed upon treatment with the EGFR inhibitor erlotinib, but not gefitinib and the severity of this rash correlated with the treatment outcome, which fits the known biology of STK10 and SLK to be regulators of lymphocyte migration and PLK kinases. However, there are yet no explanations why these two proteins show such high hit-rates across the kinome among the kinase inhibitors. Using structural analysis, we identified the flexibility of STK10 to be the main reason for this hit-rate. The observed strong in vitro potencies did however not translate to the cellular system which is why we investigated the inhibitors residence time on STK10. We found the same flexibility to be the main reason for slow residence times among several inhibitors. We observed large rearrangements in the hydrophobic backpocket of STK10 including the αC, the P-loop enclosing the inhibitor like a lid and strong π-π-stackings to be the main reasons for prolonged residence times on STK10. Interestingly, we observed an increased residence time for erlotinib, which showed skin-related side-effects, giving rise whether the binding kinetics should be investigated for weak cellular off-target effects in future drug discovery efforts.
In the second project we initiated, we illuminate a structural mechanism that allows kinetic selection between two closely related kinases, focal adhesion kinase (FAK) and proline-rich tyrosine kinase 2 (PYK2). Using an inhibitor series designed to probe the mechanism, residence times measured in vitro and in cells showed a strong correlation. Crystal structures and mutagenesis identified hydrophobic interactions with L567, adjacent to the DFG-motif, as being crucial to kinetic selectivity of FAK over PYK2. This specific interaction was observed only when the DFG-motif was stabilized into a helical conformation upon ligand binding to FAK. The interplay between the protein structural mobility and ligand-induced effect was found to be the key regulator of kinetic inhibitor selectivity for FAK over PYK2.
These two projects showed that the parameter residence time should be considered for different problems among the drug discovery process. First, in an open in vivo system not only the potency of a drug alone, but as well its residence time might be of importance. Here we showed that the weak cellular potency translated to prolonged residence times for several inhibitors in cells and established a link between the phenotypic outcome of skin rash after erlotinib treatment and the residence time of this inhibitor on STK10 in cells. On the other hand, medicinal chemistry efforts should consider structure kinetic relationships (SKR) in the optimization process and aim to understand the molecular basis for prolonged target residence times. Here, we showed that a hydrophobic interaction that is enforced upon inhibitor binding is crucial for an unusual helical DFG conformation which arrests the inhibitor and prolongs its residence time providing the molecular basis for understanding the kinetic selectivity of two closely related protein kinases. Establishing the SKRs will help medicinal chemists to kinetically optimize their drug candidates to select a suitable molecule to proceed into further optimization programs. Hence, the projects showed that the target residence time parameter needs to be considered both as a molecular optimization parameter to improve compound potency and binding behavior as well as a parameter to be understood for proceeding to the open system of in vivo models to later modulate the in vivo efficacy of protein kinase targeting drugs.
The aim of this work was to establish a new way of predicting novel dual active compounds by combining classical fingerprint representation with state-of-the-art machine learning algorithms. Advantages and disadvantages of the applied 2D- and 3D-fingerprints were investigated. Further, the impact of various machine learning algorithms was analyzed. The new method developed in this work was used to predict compounds, which inhibit two different targets (LTA4H and sEH) involved in the same disease pattern (inflammation). The development of multitarget drugs has become more important in recent years. Many widespread diseases like metabolic syndrome, or cancer are of a multifactorial nature, which makes them hard to be treated effectively with a single drug. The new in silico method presented in this work can help to accelerate the design and development of multitarget drugs, saving time and efforts.
The nowadays readily available access to a large number of 3D-structures of biological targets and published activity data of millions of synthesized compounds enabled this study and was used as a starting point for this work. Four different data sets were compiled (crystalized ligands from the PDB, active and inactive compounds from ChEMBL23, newly designed compounds using a combinatorial library). Those data sets were collected and processed using an automated KNIME workflow. This automation has the advantage of allowing easy change and update of compound sources and adapted processing ways.
In a next step, the compounds from the compiled data sets were represented using a variety of well-established 2D- and 3D-fingerprints (PLIF, AtomPair, Morgan, FeatMorgan, MACCS). All those fingerprints share the same underlying bit string scheme but vary in the way they describe the molecular structure. Especially the difference between 2D- and 3D-fingerprints was investigated. 2D-fingerprints are solely based on ligand information. 3D-fingerprints, on the other hand, are based on X-ray structure information of protein-ligand complexes. One major difference between 2D- and 3D-fingerprints usage is the need for a 3D-conformation (pose) of the compound in the targets of interest when using 3D-fingerprints. This additional step is time-consuming and brings further uncertainties to the method.
Based on the calculated fingerprints state-of-the-art machine learning algorithms (SVC, RF, XGB and ADA) were used to predict novel dual active compounds. The models were evaluated by 10-fold cross validation and accuracy as the primary measure of model performance was maximized. Second, individual parameters of the four machine learning algorithms were optimized in a grid search to achieve maximal accuracy using the optimized partitioning scheme. Overall accuracies, regardless of fingerprint and machine learning algorithm, are slightly better for LTA4H than for sEH.
The goal to predict dual active compounds was realized by comparing the set of predicted to be active compounds for LTA4H and sEH. For the 3D-fingerprint PLIF the machine learning algorithm Random Forest was chosen, from which compounds for synthesis and testing were selected. Of 115 predicted to be active compounds, six compounds were cherry picked. Two compounds showed very good/moderate dual inhibitory activity. Of the 2D-fingerprints, the AtomPair fingerprint in combination with the machine learning algorithm Random Forest was chosen from which compounds were selected for synthesis and testing. 116 compounds were predicted to be dual active against LTA4H and sEH. One of those compounds showed good dual inhibitory activity.
In this work it was possible to show advantages and disadvantages of using 2D- and 3D-fingerprints in combination with machine learning algorithms. Both strategies (2D: ligand-based, 3D: structure-based) lead to the prediction of novel dual active compounds with moderate to very good inhibitory activity. The method developed in this work is able to predict dual active compounds with very good inhibitory activity and novel (previously unknown) scaffolds inhibiting the targets LTA4H and sEH. This contribution to in silico drug design is promising and can be used for the prediction of novel dual active compounds. Those compounds can further be optimized regarding binding affinity, solubility and further pharmacological and physicochemical properties.
A necessary requirement for a pharmacological effect is that a drug molecule tightly interacts with its disease relevant target molecule in the patient. Kinases are regulatory, signal transmitting enzymes and are a large protein family that belongs to the most frequent targets of pharmaceutical industry, as deregulation of kinases has been associated with the development of a variety of diseases, including cancer. In drug discovery, equilibrium binding metrics such as the affinity (Ki, KD) or potency (IC50, EC50) are usually applied for the systematic profiling for potent and selective drug candidates. In recent years, dynamic binding parameters, the drugs association (kon) and dissociation (koff) rates for desired primary-targets and undesired off-targets, were discussed to be better predictors than steady-state affinity per se (KD = koff / kon) for the onset and duration of the drug-target complex in the open in vivo environment and thereby for the therapeutic effect and safety of the drug. It is yet unclear whether and when the binding kinetics parameters can influence drug action in the complex context of pharmacokinetics and pharmacodynamics and how the kinetic rate constants can be optimized rationally. One major obstacle for providing proof for the hypothesis that drug binding kinetics is of importance for drug action is the generation of large and comparable binding kinetic datasets.
The aim of this thesis was the comprehensive analysis of the binding kinetic and affinity parameters of a diverse spectrum of 270 small-molecule kinase inhibitors against a panel of pharmacologically relevant kinases to study the role played by binding kinetics for drug discovery: The generated dataset was utilized to assess the effect of chemical properties on drug binding kinetics, and to evaluate the impact of kinetic rate constants on the success of compounds in the drug discovery pipeline.
Large scale profiling was made possible by a recently developed “kinetic Probe Competition Assay” (kPCA), whose evaluation is based on Motulsky’s and Mahan’s “kinetics of competitive binding” theory. Monte Carlo analyses performed in this dissertation widened the theoretical knowledge of this theory, provided new insights into its limitations and allowed to derive recommendations about how to best design assays. It was demonstrated that kPCA is indeed high-throughput compatible and that it is comparable to other biochemical and biophysical assay formats in terms of precision and accuracy.
Multivariable linear regression for the description of the determined kinase inhibitors’ target binding characteristics (kon or koff or KD) using molecular properties and/or particular kinase-inhibitor interactions as descriptors supported the assumption that molecular properties of compounds might affect binding kinetics, generated new hypothesis about molecular determinants influencing binding kinetic parameters and provided a rational basis for following structure-kinetic relationship studies. Remarkably, the binding kinetic rate constants were better described by the established models than binding affinities.
Interestingly, the systematic, quantitative analysis of kinase inhibitors’ target binding kinetics indicated that a slow dissociation rate for the main target is a feature which is more frequently observed in inhibitors that reached approval or late stage clinical testing than in earlier phases of clinical development. In addition, it was demonstrated that binding kinetics of kinase inhibitors is a better predictor for the time course of target engagement in cells as compared to affinity per se. Furthermore, in some study cases simulations using a standard pharmacokinetics model and a modified model considering the inhibitors binding kinetics lead to different in vivo kinase occupancy time profiles. It was illustrated by simulations how the concept of kinetic selectivity can be applied to turn an unselective compound in equilibrium conditions into a more selective compound in the open in vivo situation, where the thermodynamic equilibrium of drug-target binding is not necessarily reached.
Thus the generated data and models provide evidence for the importance of binding kinetics in drug discovery and represent a valuable resource for future studies in this field.
Leitstrukturoptimierung mit Hilfe von Matched Molecular Paris im Kontext der Rezeptorumgebung
(2015)
In der hier vorgestellten Arbeit wurde ein strukturbasierter Ansatz zur gezielten Leitstrukturoptimierung entwickelt. Die Grundlage dafür bildeten die sogenannten Matched Molecular Pairs (MMPs). Dabei handelt es sich um Paare von Molekülen, welche sich lediglich in einer wohldefinierten Modifikation (Transformation) unterscheiden und sich in einer Datenbank mit gemessenen Moleküleigenschaften befinden. Diese Transformationen wurden im Kontext ihrer Targetumgebung untersucht und eine mathematische Beziehung zwischen Transformation und dem Effekt auf die Bindungsaffinität (Transformationseffekt) hergestellt. Auf Basis der generierten Datengrundlage wurde anschließend ein Webserver zur gezielten Leitstrukturoptimierung implementiert und zur freien Nutzung zur Verfügung gestellt.
Bezüglich der Arzneimittelforschung galt für sehr lange Zeit das Paradigma "ein Gen, ein Medikament, eine Krankheit". In jüngerer Zeit ändert sich dieses Paradigma jedoch auf Grund von redundanten Funktionen und alternativen sich kompensierenden Signalmustern, die insbesondere bei Krebserkrankungen vorherrschend sind. Daher kann die logische Konsequenz nur sein, Multi-Target-Strategien gegenüber Single-Target-Ansätzen in Betracht zu ziehen. Auf Grund der Schwierigkeit, mit einer Kombination von zwei Einzelwirkstoffen, in diesem Fall BET- und HDAC-Inhibitoren eine konsistente Biodistribution und Pharmakokinetik zu erreichen, wurde nach Einzelmolekülen gesucht, die mehrere inhibitorische Aktivitäten aufweisen. Dies wurde hier zunächst durch die einfache Konjugation von zwei unterschiedlichen Pharmakophoren erreicht.
Insgesamt wurden vier verschiedene Liganden dieses Typs synthetisiert und einer von ihnen, Verbindung 14, zeigte sehr vielversprechende Ergebnisse. 14 vereint den BET Inhibitor JQ1- mit dem HDAC Inhibitor CI994 und hat eine hemmende Wirkung sowohl gegen BRD4- als auch HDAC-Proteine wie durch DSF- und nanoBRET-Assay gezeigt werden konnte. Außerdem zeigten in vitro Assays in PDAC-Zellen, dass 14 ein noch potenterer dualer BET/HDAC-Inhibitor ist als die Kombination aus JQ1 und CI994. Während die Effekte von 14 auf das BETi-Antwortgen MYC denen von JQ1 ziemlich ähnlich sind, sind insbesondere die HDAC-inhibitorischen Effekte nachhaltiger und verstärkt, wahrscheinlich aufgrund einer längeren Verweildauer von 14 auf HDAC als dies bei CI994 der Fall ist. Dies ist durch das hohe Niveau der acetylierten Lysine von Histon H3 im Western Blot erkennbar. Dieses veränderte Expressionsverhalten hatte einen großen Einfluss auf das Zellwachstum und überleben in allen getesteten PDAC-Zelllinien. Hier wurde die Überlegenheit von 14 gegenüber der gleichzeitigen Behandlung der Zellen mit JQ1 und CI994 sehr deutlich. Wurden PDAC-Zellen mit dem dualen Inhibitor 14 behandelt, hatte dies ein geringeres Wachstum und Überleben der Krebszellen zur Folge als mit beiden ursprünglichen Molekülen, unabhängig davon, ob diese einzeln oder simultan verabreicht wurden. Außerdem wurde 14 mit Gemcitabin, einem gut verträglichen Chemotherapeutikum, kombiniert, dass bei PDAC allein nur eine begrenzte Aktivität aufweist. Es stellte sich heraus, dass die Reihenfolge, in der die Medikamente verabreicht werden, einen großen Einfluss auf die Effektivität hatte. Der durch 14 induzierte Stopp des Zellzyklus verhindert den Einbau von Gemcitabin in die DNA, wenn 14 vor oder gleichzeitig mit Gemcitabin verabreicht wird. Wenn jedoch die Behandlung mit 14 nach der Verabreichung von Gemcitabin folgt, wird der durch Gemcitabin induzierte S-Phasen-Arrest und Replikationsstress aufrechterhalten. Im Vergleich zu den meisten früheren Studien, die sich mit dualen BET/HDAC-Inhibitoren beschäftigten, ist dies eine große Verbesserung, da es bisher keinen signifikanten Unterschied zwischen der Verwendung eines dualen BET/HDAC-Inhibitors und der Kombination von zwei Einzelinhibitoren gab.
Als Proof of Concept unterstützten die Daten weitere Bemühungen zur Entwicklung zusätzlicher dualer BET/HDAC-Inhibitoren. Daher wurden zwei weitere Generationen dualer BET/HDAC Inhibitoren entwickelt, die jedoch bisher nicht an die Eigenschaften von 14 anknüpfen konnten. Vor allem die 3. Generation bietet jedoch Raum für Optimierungen, so dass hier möglicherweise noch ein potenter dualer Inhibitor zu finden ist. Sollte es in Zukunft einen zugelassenen dualen BET/HDAC-Inhibitor geben, ist es jedoch nicht unwahrscheinlich, dass keine der hier verwendet BET inhibierenden Strukturen verwendet werden, aber Struktur des HDAC inhibierenden Teils immer noch vergleichbar ist. Der Grund dafür ist, dass die HDAC Inhibitoren größtenteils relativ einfach aufgebaut. So lange das wichtigste, die zinkbindende Gruppe vorhanden ist, scheint der Linker sowie die Capping-Gruppe zweitranging zu sein. Die größere Herausforderung wird vermutlich die Suche nach dem passenden BET Inhibitor sein und die Wahlmöglichkeiten sind schon jetzt vielfältig.
Generell lässt sich sagen, dass die Idee der dualen BET/HDAC-Inhibitoren äußerst vielversprechend und es wert ist, weiter verfolgt zu werden. Dies liegt vor allem an den guten Testergebnissen, die mit Verbindung 14 erzielt wurden. Mit Hilfe dieser Art von Inhibitoren könnte es in Zukunft möglich sein, die Überlebensrate von PDAC-Patienten zu erhöhen, wenn nicht als alleiniges Medikament, so vielleicht als Zusatz zur Chemotherapie. Darüber hinaus scheint der Einsatz von dualen BET/HDAC-Inhibitoren nicht nur auf die Behandlung von PDAC beschränkt zu sein und kann auch bei anderen Krebsarten angewendet werden. NMC zum Beispiel ist ein ebenso seltener wie tödlicher Subtyp des schlecht differenzierten Plattenepithelkarzinoms und zeichnet sich durch eine Fusion des NUT-Gens mit BRD4 aus, wodurch es potenziell anfällig für eine BET-Inhibition ist. Tatsächlich zeigte 14 auch hier einen größeren positiven Effekt auf die getesteten NMC-Zellen als JQ1 oder CI994 und veranlasste die Zellen unter anderem zur Differenzierung. ...
Epigenetic mechanisms largely influence how genetic information on DNA level is translated into different phenotypes. DNA methylations and histone post-translational modifications make up what is referred to as "epigenetic landscape", an interconnected pattern that regulates access to genes and serves as platform for specific binding partners. The epigenetic landscape is maintained by "writers", which add the modifications, "erasers", which delete the modifications and "readers" which specifically bind modifications and mediate their location to other proteins connected to transcription. In the context of acetylations, which are the focus of this thesis, the writers are called histone acetyl transferases (HATs), the erasers are called histone deacetylases (HDACs) and the readers comprise Bromodomains (BRDs) as well as Yaf9, ENL, AF9, Taf14, Sas5 (YEATS) domains. An aberrant epigenetic landscape and mutated forms of epigenetic readers can lead to diseases including cancer and inflammatory diseases, making epigenetic reader domains attractive drug targets.
The focus of this thesis were YEATS domains and the development of inhibitors for this new class of epigenetic readers. Eleven-nineteen-leukemia protein (ENL) and ALL1-fused gene from chromosome 9 protein (AF9) are also part of the super elongation complex and are common fusion partners of mixed lineage leukemia protein (MLL) in acute myeloid leukemia (AML) (Wan et al., 2017, Erb et al., 2017). In this thesis, the first ligand-free crystal structure of ENL YEATS revealed an inherent flexibility of the Y78 side chain in the aromatic triad and two conserved water molecules. Soaking experiments led to the first co-crystal structures between a YEATS domain and small molecule inhibitors and defined prerequisites for ENL YEATS inhibitor scaffolds. The discovered inhibitory fragments had a central amide bond in common, which replaced one of the two conserved water molecules to form beta-sheet-like hydrogen bonds between the loop 6 backbone and the S58 side chain. The amide bond was flanked by two aromatic moieties, of which one stacks with H56 in the front pocket and the other interacts with the aromatic triad in the rear pocket. The development of the first chemical probe for ENL/AF9, SGC-iMLLT, show that the affinity is increased to low nanomolar levels if the rear flanking aromatic moiety forms additional hydrogen bonds with loop 6 and the side chain of E75 (Moustakim et al., 2018). In case of the probe, this is achieved with a 2-methyl-pyrrolidine-benzimidazole moiety. The probe binds with high affinity to ENL (129 nM) and AF9 (77 nM) and shows no significant affinity towards other human YEATS domains or BRDs. Target engagement was shown by fluorescence recovery after photobleaching (FRAP), cellular thermal shift assay (CETSA) and in case of AF9 also with NanoBRET. The probe changed the expression of three AML-related genes (MYC, dendrin and CD86) in MV4;11 cells, encouraging application of this probe in more AML cell lines.
Für jeden Betroffenen ist die Diagnose Krebs ein schwerwiegender Einschnitt in der Lebensqualität und -führung, da die Behandlung oftmals mit langen Chemotherapien einhergeht. Moderne Durchbrüche in der Krebsbehandlung stammen aus dem Forschungsbereich der zielgerichteten Molekulartherapie oder aus dem Gebiet der Immuntherapien, die zu beachtlichen Erfolgen bei der Behandlung von Krebspatienten führten. Trotzdem bleiben auf dem Gebiet der Onkologie weiterhin Fragen zu den grundlegenden biologischen Prozessen unbeantwortet.
Zu den Onkoproteinen, die das Tumorwachstum in Leukemiezellen stark beeinflussen, gehören die Proteine der Klasse der mixed lineage leukemia (MLL) Histonmethyltransferasen. Genetische Fusionen des mll Gens, sogenannte Rearragments, führen zu MLL-fusion Produkten, die erheblich zum Verlauf der aggressiven akuten myeloischen Leukämie (AML) beitragen. Ein weiteres Onkoprotein, das für den Krankheitsverlauf vieler Krebsarten relevant ist, ist die Transkriptionsfaktorfamilie MYC. Überexprimierung von MYC wurde in einem Drittel aller humanen Tumore beobachtet. Zahlreiche Studien belegen, dass hohe MYC Level die Expression von Genen regulieren, die essentiell für den Transformationsprozess und somit das Tumorwachstum sind. Da der Transkriptionsfaktor weder eine sabile tertiäre Proteinstruktur noch eine für Inhibitoren adressierbare Bindetasche aufweist, gilt MYC bis heute als undruggable.
Sowohl die Histonmethyltransferase MLL1, als auch der Transkriptionsfaktor MYC interagieren mit einem ca. 37 kDa Protein namens WD40-repeat containing Protein 5 (WDR5), das durch seine propellerförmige Struktur eine Oberfläche mit insgesamt zwei Bindestellen aufweist. Mehrere Studien zeigten, dass WDR5 die Stabilität und somit die Funktion epigenetischer Proteinkomplexe wie SET/ MLL und NSL gewährleistet. In diesem Kontext wurde WDR5 als relevantes Target für die MLL-rearragend akute lymphatische Leukämie (ALL) postuliert. Weitere Studien zeigten zusätzliche Rollen von WDR5, wie die Interaktion zwischen WDR5 und dem Onkoprotein MYC sowie dessen Rekrutierung zum Chromatin. Seit 2015 wurden erfolgreich mehrere niedermolekulare Wirkstoffe für die Inhibierung von WDR5 entwickelt. Dabei zielten die meisten der literaturbekannten Inhibitoren auf die Argininmotiv-erkennende WDR5-interacting (Win) Bindestelle, eine große, hydrophobe Bindetasche im Zentrum des WDR5-Propellers. Die Resultate der besser erforschten Win Inhibitoren zeigten, dass WDR5 ein erfolgsversprechendes Target zur Inhibierung von leukämischen (MLL-r-abhängigen) und neuroblastomatischen (MYC-abhängigen) Zellwachstum ist.
Da beide Bindestellen des WDR5 Proteins Interaktionen mit onkologisch bedeutsamen Faktoren eingehen, würde eine einseitige Inhibierung nur die Effekte der jeweiligen Bindestelle aufzeigen. Diese Limitierung könnte jedoch durch die Entwicklung von WDR5 PROTACs (Proteolysis targeting chimeras) aufgehoben werden, da alle Gerüstfunktionen des Proteins und Protein-Protein-Interaktionen durch die Degradierung von WDR5 entfernt werden würden. Dabei induzieren die heterobifunktionellen Moleküle den Abbau des Zielproteins über das zelleigene Ubiquitin-Proteasom-System, statt die Enzymfunktion zu inhibieren. Nach dem zelleigenen Abbau des Zielproteins wird der PROTAC freigesetzt und kann einen neuen Zyklus der Proteindegradation einleiten, was die erforderliche Menge an Wirkstoff verringert.
Diese Dissertation beschäftigte sich mit dem Design, der Synthese sowie der biophysikalischen und biologischen Evaluierung von WDR5 PROTACs. Ausgehend von literaturbekannten WDR5 Liganden wurden zwei verschiedene PROTAC Typen entworfen. Diese beiden Molekültypen besitzen einen unterschiedlichen geometrischen Austrittswinkel, wodurch die Chance auf eine erfolgreiche Komplexbildung zwischen WDR5, PROTAC und E3 Ligase erhöht wird. Als Leitstruktur fungierten die Verbindungen OICR-9429 sowie DDO-2117 und ausgehend von Ligand (6d) wurden heterobifunktionelle Moleküle mit verschiedenen Linkersystemen ([PEG]- und alkyl-basiert, sowie aromatisch verbrückt) und verschiedenen E3 Ligase Liganden (Cereblon, VHL und MDM2) synthetisiert. Die anschließenden biochemischen und biophysikalischen Evaluierungen der verschiedenen PROTACs durch Thermofluor (DSF) und ITC zeigten eine hohe in vitro Affinität einiger Moleküle. Die zelluläre Permeabilität der großen Moleküle wurde in einem hier etablierten BRET Assay untersucht. Zur Assay-Etablierung wurden drei Tracer (21a-c), basierend auf BODIPY Konjugaten, synthetisiert und getestet, bevor die PROTACs in intakten und lysierten Zellen vermessen wurden. Während die zellulären Affinitäten von Cereblon- und VHL-adressierenden PROTACs sich im niedrigen μM Bereich bewegten, wurden die nicht zellgängigen MDM2 PROTACs von weiteren Experimenten ausgeschlossen.
Die Degradierungeffizienz der WDR5 PROTACs (7a-e) und (8a-j) wurden in der Leukämie Zellinie MV4-11 untersucht, da diese die am meisten auftretende MLL fusion Mutation AF4 birgt. Dabei wurde der Proteinabbau von WDR5 über den HiBiT Assay sowie Western Blots nachgewiesen. ...
Polyketides are highly valuable natural products, which are widely used as pharmaceuticals due to their beneficial characteristics, comprising antibacterial, antifungal, immunosuppressive, and antitumor properties, among others. Their biosynthesis is performed by large and complex multiproteins, the polyketide synthases (PKSs). This study solely focuses on the class of type I PKSs, which arrange all their enzymatic domains on one or more polypeptides. Despite their high medical value, little is known about mechanistic details in PKSs.
One central domain is the acyl transferase (AT), which is present in all PKSs and channels small acyl substrates into the enzyme. More precisely, the AT loads the substrates onto the essential acyl carrier protein (ACP), which subsequently shuttles the substrates and all intermediates for condensation and modification to additional domains to build the final polyketide.
Some PKSs use their domains several times during biosynthesis and work iteratively – these are called iterative PKSs. Others feature several sets of domains, each being used only once during biosynthesis – these PKSs are called modular PKSs. All PKSs or PKS modules consist of minimum three essential domains to connect the acyl substrates. Three modifying domains are optional and can enlarge the minimal set. According to the domain composition, the acyl substrate is fully reduced, partly reduced, or not reduced at all. This variation of modifying domains accounts for the huge structural and therefore functional variety of polyketides.
Even though the structure of fatty acids is not exactly reminiscent of polyketides, their biosynthetic pathways are closely related. Fatty acid biosynthesis is carried out by fatty acid synthases (FASs), which share many similarities with PKSs. Both megasynthases feature the same domains, performing the same reactions to connect and modify small acyl substrates. In contrast to PKSs, FASs always contain one full set of modifying domains which is used iteratively, leading to fully reduced fatty acids.
The present thesis extensively analyzes the AT of different PKSs in its substrate selectivity, AT-ACP domain-domain interaction, and enzymatic kinetic properties. The following key findings are revealed through comparison: 1.) ATs of PKSs appear slower than the ones of FASs, which may reflect the different scopes of biosynthetic pathways. Fatty acids as essential compounds in all organisms are needed in high amounts for physiological functions, whereas polyketides as secondary metabolites only require basal concentrations to take effect. 2.) The slower ATs from modular PKSs do not load non-native substrates even in absence of the native substrates. This is different to the faster ATs from iterative PKSs and FASs, which indicates high substrate specificity solely for the ATs from modular PKSs and emphasizes their role as gatekeepers in polyketide synthesis. 3.) The substrate selectivity can emerge in either the first or the second step of the AT-mediated ACP loading and is not assured by a hydrolytic proofreading function.
Moreover, a mutational study on the AT-ACP interaction in the modular PKS 6-deoxyerythronolide B synthase (DEBS) shows that single surface point mutations can influence AT-mediated reactions in a complex manner. Data reveals high enzyme kinetic plasticity of the AT-ACP interaction, which was also recently demonstrated for the interaction in a type II FAS.
Based on these findings, the mammalian FAS is engineered towards a modular PKS-like as- sembly line with the long-term goal to rationally synthesize new products. Basically, three important aspects need to be considered: 1.) AT’s loading needs to be splitted in specific loading of a priming substrate by a priming AT and in specific loading of an elongation substrate by an elongation AT. 2.) FAS-based elongation modules need to be designed with varying domain compositions for introducing functional groups in the product. 3.) Covalent and non-covalent linkers need to be designed for connection of priming and elongation modules.
This study focuses on the first aspect, splitting loading of priming and elongation substrates. An elongation substrate-specific AT is installed in the mammalian FAS via domain swapping. Since ATs from modular PKSs were proven to be substrate specific, these are used to exchange the mammalian FAS AT. This work demonstrates that it is extremely challenging to create stable and functional chimeras, but first essential steps are taken. Proper domain boundaries for AT swapping are established and a stable chimera with 70 % wild type AT activity is created. However, this chimera is only of limited value for application in an elongation module due to the intrinsic slow turnover rate of the wild type AT. Using another PKS AT, a stable elongation module is designed and analyzed in its activity in combination with a priming module. These experiments demonstrate that the loading of priming substrates are successfully suppressed in the elongation module, but nonetheless only minor turnover rates are detected in the assembly line.
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