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Die Beteiligung an Schlüsselfunktionen in zellulären Signalwegen macht Kinasen zu einem vielversprechenden Ansatzpunkt in der Wirkstoffentwicklung bei verschiedenen menschlichen Erkrankungen wie z.B. Krebs oder auch Autoimmun- und Entzündungskrankheiten. Die Prävention von post-translationalen Modifikationen durch Phosphorylierung und somit die Regulierung der nachgeschalteten Signalwege ist das Ziel von Kinaseinhibitoren. Die katalytische Aktivität von Kinasen ist abhängig von ATP, welches im hochkonservierten aktiven Zentrum bindet. Bedingt durch diese kinomweite hohe Konservierung stellt die Entwicklung von hoch selektiven ATP-mimetischen Inhibitoren eine Herausforderung dar. Typische ATP-Mimetika sind flach und die oft hydrophoben Moleküle weisen meist eine große Zahl an frei rotierbaren Bindungen auf. Um das aus dieser Flexibilität hervorgehende Problem der teils mangelnden Selektivität zu umgehen, kann eine bioaktive Konformation des Inhibitors durch Makrozyklisierung fixiert werden. Als Konsequenz dieser konformationellen Einschränkung können die entropischen Kosten während des Bindens reduziert werden und folglich zu einer gesteigerten Affinität gegenüber der Kinase führen.
Der Grundstein dieser Arbeit war der makrozyklische Pyrazolo[1,5-a]pyrimidin basierte FLT3 Kinaseinhibitor ODS2004070 (37). Im Rahmen eines kinomweiten Screenings konnten hohe Affinitäten zu verschiedensten Kinasen detektiert werden, was 37 zu einer guten Leitstruktur für das Design von potenten und selektiven Kinaseinhibitoren machte. Im Rahmen dieser Arbeit blieb das literaturbekannte Pyrazolo[1,5-a]pyrimidin basierte ATP-mimetische Bindemotiv sowie das makrozyklische Grundgerüst 37 bis auf einige wenige Variation unverändert.
Strukturelle Optimierungen zur Fokussierung der Selektivität wurden am sekundären Amin zwischen Bindemotiv und Linker als auch über die freie Carbonsäure durchgeführt. Mit einer Anzahl von mehr als 430 identifizierten Phosphorylierungsstellen ist die pleiotropisch und konstitutiv aktive Casein Kinase 2 (CK2) an verschiedensten zellulären Prozessen wie dem Verlauf des Zellzyklus, der Apoptose oder der Transkription regulatorisch beteiligt. Die Fehlregulation von CK2 wird häufig mit der Pathologie von Krankheiten wie zum Beispiel Krebs assoziiert, was CK2 zu einem vielversprechenden Ziel klinischer Untersuchungen macht.
Im Rahmen des CK2-Projekts war es möglich, durch spezifische Modifikationen an 37, die hoch selektiven und potenten CK2-Inhibitoren 47 und 60 zu entwickeln. Ebenfalls gezeigt wurde, dass kleine strukturelle Veränderungen, wie z.B. Makrozyklisierung, einen signifikanten Effekt auf Selektivität und Potenz des Inhibitors haben kann.
Weiter Untersuchungen der Verbindungen lenkten den Fokus weiterer Arbeiten u.a. auf die Serin/Threonin Kinase 17A (STK17A) oder auch death-associated protein kinase-related apoptosis-inducing protein kinase 1 (DRAK1) genannt. Sie ist Teil der DAPK Familie und gehört zusammen mit anderen Kinasen zu den weniger erforschten Kinasen. Bis heute ist nicht viel über ihre zellulären Funktionen und die Beteiligung an pathophysiologischen Prozessen bekannt. Berichtet wurde jedoch eine Überexpression in verschiedenen Formen von Hirntumoren des zentralen Nervensystems (Gliom). Strukturelle Modifikationen, unter Erhalt des makrozyklischen Grundgerüsts 37, führten zu dem hoch selektiven und potenten DRAK1 Inhibitor 121, der alle Kriterien für eine chemical probe Verbindung erfüllt.
Ein weiteres Ziel dieser Arbeit war die AP-2-assoziierte Protein Kinase 1 (AAK1) aus der NAK Familie, bestehend aus AAK1, BIKE und GAK. Sie ist als potenzielles therapeutisches Ziel für viele verschieden Krankheiten wie z.B. neuropathische Schmerzen, Schizophrenie und Parkinson identifiziert. Durch die Regulierung der Clathrin-mediierten Endozytose ist AAK1 an intrazellulären Bewegungen verschiedener nicht zusammenhängenden RNS- und DNSViren, wie beispielsweise HCV, DENV oder EBOV, beteiligt. Ebenfalls berichtet wurde eine mögliche Assoziation mit dem SARS-CoV-2 Virus, was das Interesse an neuen selektiven AAK1 Inhibitoren verstärkte. Die Entwicklung der hochpotenten und selektiven AAK1 Inhibitoren 61 und 63 basierte ebenfalls auf dem makrozyklischen Grundgerüst 37, das bereits im CK2- und DRAK1-Projekt verwendet wurde.
Zusammenfassend lässt sich sagen, dass es im Rahmen dieser Arbeit gelungen ist, ausgehend von einem höchst unselektiven makrozyklischen Grundgerüst, hochpotente und selektive Kinaseinhibitoren für CK2, DRAK1 und AAK1 zu entwickeln und zu charakterisieren. Im Zuge von Untersuchungen verschiedener Struktur-Wirkungsbeziehungen wurde gezeigt, dass es durch geringfügige strukturelle Modifikationen möglich ist, die kinomweite Selektivität zu variieren und auf eine Kinase zu fokussieren. Diese Arbeit brachte nicht nur die erwähnten Inhibitoren hervor, sondern bildet auch die Grundlage für weitere Projekte zur Entwicklung von hoch potenten und selektiven Verbindungen als potenzielle chemische Werkzeuge für den Einsatz in der Forschung.
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.
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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The dodecin of Mycobacterium tuberculosis : biological function and biotechnical applications
(2020)
Biological Function of Bacterial Dodecins
In this thesis, the dodecins of Mycobacterium tuberculosis (MtDod), Streptomyces coelicolor (ScDod) and Streptomyces davaonensis (SdDod) were studied. Kinetic measurements of the flavin binding of MtDod revealed that the dodecin binding pocket is filled in two distinct steps, for which a kinetic model then was established and verified by experimental data. The analysis with the two-step model showed that the unique binding pocket of dodecins allows them to bind excessive amounts of flavins, while at low flavin concentrations, flavin is released and only weakly bound. This function of flavin buffering prevents accumulation of free oxidised flavins and therefore helps to keep the redox balance of the cell and prevents potential cell damage caused by excessive free flavins. To further gain insights into the role of bacterial dodecins, the effect of knocking out the dodecin encoding gene in S. davaonensis was analysed. The knockout strain showed increased concentrations of various stress related metabolites, indicating that without dodecin the cellular balance is disrupted, which supports the role of dodecins as a flavin homeostasis factor.
With a self-designed affinity measurement method based on the temperature dependent dissociation of the dodecin:flavin complex, which allowed parallel screening of multiple conditions, it was shown that MtDod, ScDod and SdDod have much higher affinities towards FMN and FAD under acidic conditions. Under these conditions, the three dodecins might function as a FMN storage. M. tuberculosis encounters multiple acidic environments during its infection cycle of humans and can adopt a state of dormancy. During recovery from the dormant state, a flavin storage might be beneficial. For some Streptomyces species it was reported that the formed spores are slightly acidic and therefore ScDod and SdDod could function as flavin storages for the spores. Further details on the flavin binding mechanism of MtDod were revealed by a mutagenesis study, identifying the importance of a histidine residue at the fourth position of the protein sequence for flavin binding, but contrary to expectations, this residue seems only to be partly involved in the pH related affinity shift.
The data, reported in this thesis, demonstrates that bacterial dodecins likely function as flavin homeostasis factors, which allow overall higher flavin pools in the cell without disrupting the cellular balance. Further, the reported acid-dependent increase in binding affinity suggests that under certain conditions bacterial dodecins can also function as a flavin storage system.
Application of the Dodecin of M. tuberculosis
In this thesis, the stability of MtDod, ScDod SdDod and HsDod was analysed to find a suitable dodecin for the use as a carrier/scaffold. Therefore, a method to easily measure the stability of dodecins was designed, which measures the ability of the dodecamer to rebind flavins after a heating phase with stepwise increasing temperatures. Using this assay and testing the stability against detergents by SDS PAGE, showed that the dodecamer of MtDod possesses an excellent stability against a vast array of conditions, like temperatures above 95 °C, low pH and about 2% SDS. By solving the crystal structure of ScDod and SdDod, the latter forming a less stable dodecamer, combined with a mutagenesis study, the importance of a specific salt bridge for dodecamer stability was revealed and might be helpful to find further highly stable dodecins.
In addition to the intrinsic high stability of the MtDod dodecamer, also the robustness of the fold was tested by creating diverse MtDod fusion constructs and producing them in Escherichia coli. Here it was shown that MtDod easily tolerates the attachment of proteins up to 4-times of its own size and that both termini can be modified without affecting the dodecamer noticeably. Further, it was shown that MtDod and many MtDod fusion constructs could be purified in high yields via a protocol based on the removal of E. coli proteins through heat denaturation and subsequent centrifugation. In a case study, by fusing diverse antigens from mostly human proteins to MtDod and using these constructs to produce antibodies in rabbits, it was demonstrated that MtDod is immunogenic and presents the attached antigens to the immune system.
The here reported properties of MtDod and to a lesser degree of other bacterial dodecins, show that bacterial dodecins are a valuable addition to the pool of scaffold and carrier proteins and have great potential as antigen carriers.
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.
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.
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.
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.
The simultaneous inhibition of HDACs and BET proteins has shown promising anti-proliferative effects against different cancer types, including the difficult to treat pancreatic cancer. In this work, the strategy of concurrently targeting HDACs and BET proteins was pursued by developing different types of dual inhibitors.
By developing a novel scaffold that selectively inhibits HDAC1/2 together with BET proteins in cells, an effective tool for the investigation of pancreatic cancer, and other diseases which are sensitive to epigenetic processes, was created. The compound’s small size further gives the opportunity to further develop the inhibitor towards optimized pharmacokinetic properties, potentially resulting in a drug for cancer treatment.
A second novel approach that was pursued, was the development of a small-molecule degrader, targeting HDACs and BET proteins. Through synthesizing a variety of different molecules, a compound that was capable of lowering BRD4 levels and, at the same time, increasing histone acetylation was developed. While additional mechanistic investigations are needed to verify the degradation, the potent antiproliferative effects in pancreatic cancer cells encourage further studies following this alternative new strategy.
Standard cancer therapy research targets tumor cells while not considering the damage on the tumor microenvironment (TME) and its associated implications in impairing therapy response. Employing patients-derived organoids (PDOs) and matched stroma cells or a novel murine preclinical rectal cancer model of local radiotherapy, it was demonstrated that tumor cells-derived IL-1α polarizes cancer-associated fibroblasts towards an inflammatory (iCAFs) phenotype. While numerous studies in different tumor entities highlighted the molecular heterogeneity of CAFs, so far there are no clear findings on their functional heterogeneity and relevance in therapy resistance and response. The present study molecularly characterized iCAFs subpopulation among RCA patients as well as the preclinical mouse model and importantly unraveled the detailed molecular mechanism underlying their contribution to impair therapy response. Mechanistically, iCAFs were demonstrated to be characterized by an upregulation of nitric oxide synthase (iNOS) which triggered accumulation of reactive nitrogen species (RNS) and subsequently an oxidative DNA damage response (DDR). Such a baseline IL-1α-driven DNA damage further sensitized iCAFs to a p53-mediated therapy induced senescence (TIS) causing extensive extracellular matrix (ECM) changes and induction of senescence associated secretory phenotype (SASP) that favored tumor progression and hindered tumor cell death. Moreover, iCAFs reversibility and repolarization into more quiescent like phenotype was demonstrated upon IL-1 signaling inhibition by anakinra, a recombinant IL-1 receptor antagonist (IL1RA). Accordingly, treating mice with anakinra or specific deletion of Il1r1 in CAFs sensitized stroma-rich resistant tumors to chemoradiotherapy (CRT). Similarly, targeting CAFs senescence by senotherapy (venetoclax chemical) or employing Trp53 deficient mice reverted therapy resistance among non-responsive tumors in vivo by reducing ECM deposition and consequently favoring CD8+ T cells intratumoral infiltration posttherapy. Importantly, rectal cancer patients that do not completely respond to neoadjuvant therapy displayed an iCAFs senescence program post-CRT. Moreover, these patients presented a baseline increased CAFs content, a dominant iCAFs signature that correlated with poorer disease-free survival (DFS) and a significantly reduced circulating IL1RA serum levels. While reduced pretherapeutic IL1RN gene expression predicted poor prognosis among RCA patients, IL1RA serum levels were associated with rs4251961 (T/C) single nucleotide polymorphism (SNP) in the IL1RN gene. Finally, functional validation assays revealed that conditioned media of PDOs drove inflammatory polarization of fibroblasts and consequently rendered them sensitive to RNS-mediated DNA damage and TIS. Collectively, the study highlighted a crucial and novel role of a CAFs subset, iCAFs, in therapy resistance among RCA patients, shedding light on their functional relevance by identifying IL-1 signaling as an appealing target for their repolarization and successful targeting. Therefore, it makes sense to combine the newly demonstrated and thoroughly proven therapeutic approach of targeting IL-1 signaling in combination with conventional CRT and possibly immunotherapy. This might have a major impact on RCA therapy and be of immense relevance for other stroma-rich tumors.