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X-ray structure of the Na+-coupled Glycine-Betaine symporter BetP from Corynebacterium glutamicum
(2009)
Cellular membranes are important sites of interaction between cells and their environment. Among the multitude of macromolecular complexes embedded in these membranes, transporters play a particularly important role. These integral membrane proteins perform a number of vital functions that enable cell adaptation to changing environmental conditions. Osmotic stress is a major external stimulus for cells. Bacteria are frequently exposed to either hyperosmotic or hypoosmotic stress. Typical conditions for soil bacteria, such as Corynebacterium glutamicum, vary between dryness and sudden rainfall. Physical stimuli caused by osmotic stress have to be sensed and used to activate appropriate response mechanisms. Hypoosmotic stress causes immediate and uncontrolled influx of water. Cells counteract by instantly opening mechanosensitive channels, which act as emergency valves leading to fast efflux of small solutes out of the cell, therebydiminishing the osmotic gradient across the cell membrane. Hyperosmotic stress, on the other hand, results in water efflux. This is counterbalanced by an accumulation of small, osmotically active solutes in the cytoplasm, the so-called compatible solutes. They comprise a large variety of substances, including amino acids (proline), amino acid derivatives (betaine, ectoine), oligosaccharides (trehalose), and heterosides (glucosylglycerol). Osmoregulated transporters sense intracellular osmotic pressure and respond to hyperosmotic stress by facilitating the inward translocation of compatible solutes across the cell membrane, to restore normal hydration levels. This work presents the first X-ray structure of a member of the Betaine-Choline-Carnitine-Transporter (BCCT) family, BetP. This Na+-coupled symporter from Corynebacterium glutamicum is a highly effective osmoregulated and specific uptake system for glycine-betaine. X-ray structure determination was achieved using single wavelength anomalous dispersion (SAD) of selenium atoms. Selenium was incorporated into the protein during its expression in methione auxotrophic E. coli cells, grown in media supplemented with selenomethionine. SAD data with anomalous signal up to 5 Å led to the detection of 39 selenium sites, which were used to calculate the initial electron density map of the protein. Medium resolution and high data anisotropy made the structure determination of BetP a challenging task. A specific strategy for data anisotropy correction and a combination of various crystallographic programs were necessary to obtain an interpretable electron density map suitable for model building. The crystal structure of BetP shows a trimer with glycine-betaine bound in a three-fold cation-pi interaction built by conserved tryptophan residues. The bound substrate is occluded from both sides of the membrane and aromatic side chains line its transport pathway. Very interestingly, the structure reveals that the alpha-helical C-terminal domain, for which a chemo- and osmosensory function was elucidated by biochemical methods, interacts with cytoplasmic loops of an adjacent monomer. These unexpected monomer-monomer interactions are thought to be crucial for the activation mechanism of BetP, and a new atomic model combing biochemical results with the crystal structure is proposed. BetP is shown to have the same overall fold as three unrelated Na+-coupled symporters. While these were crystallised in either the outward- or inward-facing conformation, BetP reveals a unique intermediate state, opening new perspectives on the alternating access mechanism of transport.
The cytochrome bc1 complex or ubiquinol:cytochrome c oxidoreductase (QCR) catalyses electron transfer from ubiquinol to cytochrome c in respiration and photosynthesis coupled to a vectorial proton transport across the membrane, in which the enzyme resides. In both bacteria and eukaryotic organisms, QCR participates in supramolecular assembly of membrane proteins that comprise the respiratory or photosynthetic chain. In the present work, proton transfer pathways, substrate binding and the supramolecular assembly of the respiratory chain in yeast were probed by structure-based site-directed mutagenesis and characterization of the variants. Both active sites centre P, the place of quinol oxidation, and centre N, where quinone reduction takes place, lack direct access to the bulk solvent necessary for proton release and uptake. Based on the X-ray structure, proton transfer pathways were postulated. Analysis at centre P showed, that E272 and Y132 of cytochrome b are important for QCR catalysis as indicated by increased superoxide production and lowered Cyc1p reductase activity in these variants. Pre-steady state heme reduction kinetics in combination with stigmatellin resistance indicated that charge and length of the side chain at position 272 are crucial for efficient docking of the ISP to form the enzyme substrate complex and for electron bifurcation at centre P. Variants of Y312 and F129, both residues of cytochrome b, showed an increased Km indicating participation of these residues in coordination of ubiquinol or the possible intermediate semiquinone anion radical. F129 proved to be crucial for a functional Q-cycle as indicated by respiratory negative growth phenotype and a lowered H+/e- stoichiometry of F129 variants. At centre N, the postulated CL/K and E/R proton transfer pathways are located at opposite sites of the bound ubiquinone. Variants in the surface residues R218 (cytochrome b) and E52 (Qcr7) of the E/R pathway and E82 (Qcr7) of the CL/K pathway showed instability upon purification indicating an important role of these residues for QCR integrity. The slowed down centre N reduction kinetics in H85 (CL/K), R218 and N208 (both E/R) variant was attributed to a destabilised semiquinone anion consistent with the observed decreased sensitivity towards the site-specific inhibitor antimycin and an increased Km. Variants of residues of both pathway, E82Q and R218M, exhibited a decreased H+/e- stoichiometry indicating a crucial role of both residue for maintaining a working Q-cycle and supporting the proposed protonation of the substrate via the Cl/K and the E/R pathway. Long-range interaction between centre N and centre P were observed by altered reduction kinetics of the high potential chain and increased superoxide production in the centre N variants. The role of the cation-pi-interaction between F230 of Cyt1p and R19 of cytochrome c in binding of the redox carrier to QCR was analysed. In F230L hydrophobic interaction were partially lost as was deduced from the ionic strength dependence of Cyc1p reductase activity and Cycp1 binding, as detected by ionic strength sensitive Kd and Km for Cyc1p. The decreased enzymatic rate of F230W could be explained by a disturbed binding of Cyc1p to the variant enzyme. F230 may influence the heme mid point potential and thereby the electron transfer rate to Cyc1p. Reduction of Cobp via both centre P and centre N was disturbed suggesting an interaction between high and low potential chain. Supramolecular association between QCR and cytochrome c oxidase (COX) in yeast mitochondria was probed by affinity chromatography of a his-tagged QCR in the presence of the mild detergent digitonin. In comparison to purification with laurylmaltoside, the presence of both QCR and COX subunits was detected in the elution fractions by SDS-PAGE, Cyc1p reductase and TMPD oxidase activity assays and immunoblot analysis. The CL-dependent formation of the supercomplex between QCR and COX was analysed by replacement variants in the CL-binding site of QCR in CL containing and CL free environment. With an increasing number of replacements of the three lysines the CL-binding pocket supercomplex formation was not abolished, when CL is present as shown by BN-PAGE analysis. This was supported by the synergetic decrease in enzyme activity for both enzymes upon increased number of replacements. In the CL-free environment, no supracomplex formation was observed for a wildtype CL binding site. By replacements of two lysines in the CL-binding pocket, supercomplex formation could be recovered as revealed by BN-PAGE. This indicates, that CL may serve as a charge neutralizer for the lysines near the presumed interaction domain between complex III and complex IV. The obtained results for centre P provide new information of residues critical for stabilisation of ubiquinol and controlling electron short circuit reactions. The observations for centre N variants clearly support the proposed two proton transfer pathways and the role of the bound phospholipids in centre N kinetics. Variants in the Cyc1p binding site suggest a role for F230 both in Cyc1p binding and electron transfer. Clear interaction between the high and low potential chain in both Cyt1p and centre N variants strongly support long-range interactions in the complex. Studies on the supramolecular association of complex III and complex IV indicate a new role of Cl in stabilising a supracomplex.
Virtual screening of potential bioactive substances using the support vector machine approach
(2005)
Die vorliegende Dissertation stellt eine kumulative Arbeit dar, die in insgesamt acht wissenschaftlichen Publikationen (fünf publiziert, zwei eingerichtet und eine in Vorbereitung) dargelegt ist. In diesem Forschungsprojekt wurden Anwendungen von maschinellem Lernen für das virtuelle Screening von Moleküldatenbanken durchgeführt. Das Ziel war primär die Einführung und Überprüfung des Support-Vector-Machine (SVM) Ansatzes für das virtuelle Screening nach potentiellen Wirkstoffkandidaten. In der Einleitung der Arbeit ist die Rolle des virtuellen Screenings im Wirkstoffdesign beschrieben. Methoden des virtuellen Screenings können fast in jedem Bereich der gesamten pharmazeutischen Forschung angewendet werden. Maschinelles Lernen kann einen Einsatz finden von der Auswahl der ersten Moleküle, der Optimierung der Leitstrukturen bis hin zur Vorhersage von ADMET (Absorption, Distribution, Metabolism, Toxicity) Eigenschaften. In Abschnitt 4.2 werden möglichen Verfahren dargestellt, die zur Beschreibung von chemischen Strukturen eingesetzt werden können, um diese Strukturen in ein Format zu bringen (Deskriptoren), das man als Eingabe für maschinelle Lernverfahren wie Neuronale Netze oder SVM nutzen kann. Der Fokus ist dabei auf diejenigen Verfahren gerichtet, die in der vorliegenden Arbeit verwendet wurden. Die meisten Methoden berechnen Deskriptoren, die nur auf der zweidimensionalen (2D) Struktur basieren. Standard-Beispiele hierfür sind physikochemische Eigenschaften, Atom- und Bindungsanzahl etc. (Abschnitt 4.2.1). CATS Deskriptoren, ein topologisches Pharmakophorkonzept, sind ebenfalls 2D-basiert (Abschnitt 4.2.2). Ein anderer Typ von Deskriptoren beschreibt Eigenschaften, die aus einem dreidimensionalen (3D) Molekülmodell abgeleitet werden. Der Erfolg dieser Beschreibung hangt sehr stark davon ab, wie repräsentativ die 3D-Konformation ist, die für die Berechnung des Deskriptors angewendet wurde. Eine weitere Beschreibung, die wir in unserer Arbeit eingesetzt haben, waren Fingerprints. In unserem Fall waren die verwendeten Fingerprints ungeeignet zum Trainieren von Neuronale Netzen, da der Fingerprintvektor zu viele Dimensionen (~ 10 hoch 5) hatte. Im Gegensatz dazu hat das Training von SVM mit Fingerprints funktioniert. SVM hat den Vorteil im Vergleich zu anderen Methoden, dass sie in sehr hochdimensionalen Räumen gut klassifizieren kann. Dieser Zusammenhang zwischen SVM und Fingerprints war eine Neuheit, und wurde von uns erstmalig in die Chemieinformatik eingeführt. In Abschnitt 4.3 fokussiere ich mich auf die SVM-Methode. Für fast alle Klassifikationsaufgaben in dieser Arbeit wurde der SVM-Ansatz verwendet. Ein Schwerpunkt der Dissertation lag auf der SVM-Methode. Wegen Platzbeschränkungen wurde in den beigefügten Veröffentlichungen auf eine detaillierte Beschreibung der SVM verzichtet. Aus diesem Grund wird in Abschnitt 4.3 eine vollständige Einführung in SVM gegeben. Darin enthalten ist eine vollständige Diskussion der SVM Theorie: optimale Hyperfläche, Soft-Margin-Hyperfläche, quadratische Programmierung als Technik, um diese optimale Hyperfläche zu finden. Abschnitt 4.3 enthält auch eine Diskussion von Kernel-Funktionen, welche die genaue Form der optimalen Hyperfläche bestimmen. In Abschnitt 4.4 ist eine Einleitung in verschiede Methoden gegeben, die wir für die Auswahl von Deskriptoren genutzt haben. In diesem Abschnitt wird der Unterschied zwischen einer „Filter“- und der „Wrapper“-basierten Auswahl von Deskriptoren herausgearbeitet. In Veröffentlichung 3 (Abschnitt 7.3) haben wir die Vorteile und Nachteile von Filter- und Wrapper-basierten Methoden im virtuellen Screening vergleichend dargestellt. Abschnitt 7 besteht aus den Publikationen, die unsere Forschungsergebnisse enthalten. Unsere erste Publikation (Veröffentlichung 1) war ein Übersichtsartikel (Abschnitt 7.1). In diesem Artikel haben wir einen Gesamtüberblick der Anwendungen von SVM in der Bio- und Chemieinformatik gegeben. Wir diskutieren Anwendungen von SVM für die Gen-Chip-Analyse, die DNASequenzanalyse und die Vorhersage von Proteinstrukturen und Proteininteraktionen. Wir haben auch Beispiele beschrieben, wo SVM für die Vorhersage der Lokalisation von Proteinen in der Zelle genutzt wurden. Es wird dabei deutlich, dass SVM im Bereich des virtuellen Screenings noch nicht verbreitet war. Um den Einsatz von SVM als Hauptmethode unserer Forschung zu begründen, haben wir in unserer nächsten Publikation (Veröffentlichung 2) (Abschnitt 7.2) einen detaillierten Vergleich zwischen SVM und verschiedenen neuronalen Netzen, die sich als eine Standardmethode im virtuellen Screening etabliert haben, durchgeführt. Verglichen wurde die Trennung von wirstoffartigen und nicht-wirkstoffartigen Molekülen („Druglikeness“-Vorhersage). Die SVM konnte 82% aller Moleküle richtig klassifizieren. Die Klassifizierung war zudem robuster als mit dreilagigen feedforward-ANN bei der Verwendung verschiedener Anzahlen an Hidden-Neuronen. In diesem Projekt haben wir verschiedene Deskriptoren zur Beschreibung der Moleküle berechnet: Ghose-Crippen Fragmentdeskriptoren [86], physikochemische Eigenschaften [9] und topologische Pharmacophore (CATS) [10]. Die Entwicklung von weiteren Verfahren, die auf dem SVM-Konzept aufbauen, haben wir in den Publikationen in den Abschnitten 7.3 und 7.8 beschrieben. Veröffentlichung 3 stellt die Entwicklung einer neuen SVM-basierten Methode zur Auswahl von relevanten Deskriptoren für eine bestimmte Aktivität dar. Eingesetzt wurden die gleichen Deskriptoren wie in dem oben beschriebenen Projekt. Als charakteristische Molekülgruppen haben wir verschiedene Untermengen der COBRA Datenbank ausgewählt: 195 Thrombin Inhibitoren, 226 Kinase Inhibitoren und 227 Faktor Xa Inhibitoren. Es ist uns gelungen, die Anzahl der Deskriptoren von ursprünglich 407 auf ungefähr 50 zu verringern ohne signifikant an Klassifizierungsgenauigkeit zu verlieren. Unsere Methode haben wir mit einer Standardmethode für diese Anwendung verglichen, der Kolmogorov-Smirnov Statistik. Die SVM-basierte Methode erwies sich hierbei in jedem betrachteten Fall als besser als die Vergleichsmethoden hinsichtlich der Vorhersagegenauigkeit bei der gleichen Anzahl an Deskriptoren. Eine ausführliche Beschreibung ist in Abschnitt 4.4 gegeben. Dort sind auch verschiedene „Wrapper“ für die Deskriptoren-Auswahl beschrieben. Veröffentlichung 8 beschreibt die Anwendung von aktivem Lernen mit SVM. Die Idee des aktiven Lernens liegt in der Auswahl von Molekülen für das Lernverfahren aus dem Bereich an der Grenze der verschiedenen zu unterscheidenden Molekülklassen. Auf diese Weise kann die lokale Klassifikation verbessert werden. Die folgenden Gruppen von Moleküle wurden genutzt: ACE (Angiotensin converting enzyme), COX2 (Cyclooxygenase 2), CRF (Corticotropin releasing factor) Antagonisten, DPP (Dipeptidylpeptidase) IV, HIV (Human immunodeficiency virus) protease, Nuclear Receptors, NK (Neurokinin receptors), PPAR (peroxisome proliferator-activated receptor), Thrombin, GPCR und Matrix Metalloproteinasen. Aktives Lernen konnte die Leistungsfähigkeit des virtuellen Screenings verbessern, wie sich in dieser retrospektiven Studie zeigte. Es bleibt abzuwarten, ob sich das Verfahren durchsetzen wird, denn trotzt des Gewinns an Vorhersagegenauigkeit ist es aufgrund des mehrfachen SVMTrainings aufwändig. Die Publikationen aus den Abschnitten 7.5, 7.6 und 7.7 (Veröffentlichungen 5-7) zeigen praktische Anwendungen unserer SVM-Methoden im Wirkstoffdesign in Kombination mit anderen Verfahren, wie der Ähnlichkeitssuche und neuronalen Netzen zur Eigenschaftsvorhersage. In zwei Fällen haben wir mit dem Verfahren neuartige Liganden für COX-2 (cyclooxygenase 2) und dopamine D3/D2 Rezeptoren gefunden. Wir konnten somit klar zeigen, dass SVM-Methoden für das virtuelle Screening von Substanzdatensammlungen sinnvoll eingesetzt werden können. Es wurde im Rahmen der Arbeit auch ein schnelles Verfahren zur Erzeugung großer kombinatorischer Molekülbibliotheken entwickelt, welches auf der SMILES Notation aufbaut. Im frühen Stadium des Wirstoffdesigns ist es wichtig, eine möglichst „diverse“ Gruppe von Molekülen zu testen. Es gibt verschiedene etablierte Methoden, die eine solche Untermenge auswählen können. Wir haben eine neue Methode entwickelt, die genauer als die bekannte MaxMin-Methode sein sollte. Als erster Schritt wurde die „Probability Density Estimation“ (PDE) für die verfügbaren Moleküle berechnet. [78] Dafür haben wir jedes Molekül mit Deskriptoren beschrieben und die PDE im N-dimensionalen Deskriptorraum berechnet. Die Moleküle wurde mit dem Metropolis Algorithmus ausgewählt. [87] Die Idee liegt darin, wenige Moleküle aus den Bereichen mit hoher Dichte auszuwählen und mehr Moleküle aus den Bereichen mit niedriger Dichte. Die erhaltenen Ergebnisse wiesen jedoch auf zwei Nachteile hin. Erstens wurden Moleküle mit unrealistischen Deskriptorwerten ausgewählt und zweitens war unser Algorithmus zu langsam. Dieser Aspekt der Arbeit wurde daher nicht weiter verfolgt. In Veröffentlichung 6 (Abschnitt 7.6) haben wir in Zusammenarbeit mit der Molecular-Modeling Gruppe von Aventis-Pharma Deutschland (Frankfurt) einen SVM-basierten ADME Filter zur Früherkennung von CYP 2C9 Liganden entwickelt. Dieser nichtlineare SVM-Filter erreichte eine signifikant höhere Vorhersagegenauigkeit (q2 = 0.48) als ein auf den gleichen Daten entwickelten PLS-Modell (q2 = 0.34). Es wurden hierbei Dreipunkt-Pharmakophordeskriptoren eingesetzt, die auf einem dreidimensionalen Molekülmodell aufbauen. Eines der wichtigen Probleme im computerbasierten Wirkstoffdesign ist die Auswahl einer geeigneten Konformation für ein Molekül. Wir haben versucht, SVM auf dieses Problem anzuwenden. Der Trainingdatensatz wurde dazu mit jeweils mehreren Konformationen pro Molekül angereichert und ein SVM Modell gerechnet. Es wurden anschließend die Konformationen mit den am schlechtesten vorhergesagten IC50 Wert aussortiert. Die verbliebenen gemäß dem SVM-Modell bevorzugten Konformationen waren jedoch unrealistisch. Dieses Ergebnis zeigt Grenzen des SVM-Ansatzes auf. Wir glauben jedoch, dass weitere Forschung auf diesem Gebiet zu besseren Ergebnissen führen kann.
Autophagy, together with the ubiquitin-proteasome system, is the main quality control pathway responsible for maintaining cell homeostasis. There are several types of autophagy distinguished by cargo selectivity and means of induction. This thesis focuses on macroautophagy, hereafter autophagy, where a double-layered membrane is formed originating from the endoplasmatic reticulum (ER) engulfing cargo selectively or unselectively. Subsequently, a vesicle forms around the cargo, an autophagosome, and eventually fuses with the lysosome leading to degradation of the vesicle content and release of the cargo “building blocks”. Basal autophagy continuously occurs, unselectively engulfing a portion of the cytoplasm. However, autophagy can also be induced by stress such as starvation, protein aggregation, damaged organelles, intracellular pathogens etc. In this case, the cargo is selectively targeted, and the fate of the autophagosome is the same as in basal autophagy. In recent years, interest in identifying mechanisms of autophagy regulation has risen due to its importance in neurodegenerative diseases and cancer. Given the complexity of the process, its execution is tightly regulated from initiation, autophagosome formation, expansion, closure, and finally fusion with the lysosome. Each of the steps involves different protein complexes, whose timely activity is orchestrated by post-translational modifications. One of them is ubiquitination. Ubiquitin is a small, 76-amino acid protein conjugated in a 3-step reaction to other proteins, in a reversible manner, meaning undone by deubiquitinases. Originally described as a degradation signal targeting proteins to the proteasome, today it is known it has various additional non-proteolytic functions, such as regulating a protein’s activity, localization, or interaction partners. The role of ubiquitin in autophagy has already been shown. However, given the reversibility and fine-tuning of the ubiquitin signal, many expected regulators remain unidentified. This work aimed to identify novel deubiquitinating enzymes that regulate autophagy. We identified ubiquitin-specific protease 11 (USP11) as a novel, negative regulator of autophagy. Loss of USP11 leads to an increase in autophagic flux, whereas overexpression of USP11 attenuates it. Moreover, this observation was reproducible in model organism Caenorhabditis elegans, emphasizing the importance of USP11 in autophagy regulation. To identify the mechanism of USP11-dependent autophagy regulation, we performed a USP11 interactome screen after 4 hour Torin1 treatment and identified a plethora of autophagy-related proteins. Following the most prominent hits, we have investigated versatile ways in which USP11 regulates autophagy. USP11 interacts with the PI3KC3 complex, the role of which is phosphorylating lipids of the ER, thereby initiating the formation of the autophagosomal membrane. Phosphorylated lipids serve as a recruitment signal for downstream effector proteins necessary for the membrane expansion. The core components of the complex are VPS34, the lipid kinase, ATG14, the protein responsible for targeting the complex to the ER, VPS15, a pseudokinase with a scaffolding role, Beclin1, a regulatory subunit, and NRBF2, the dimer-inducing subunit. We have found USP11 interacts with the complex and, based on its activity, USP11 influences post-translational status of all the aforementioned subunits, except for ATG14. Moreover, we have found that loss of USP11 leads to an increase in NRBF2 levels, whereas it does not change the levels of the other proteins. Given that the dimerization of the complex leads to an increase in complex activity, we investigated if the complex is more tightly formed in the absence of USP11, and if it is more active. We have found both to be the case. Although the exact mechanism of USP11-dependent PI3KC3 complex regulation remains to be identified, we found that loss of USP11 stimulates the complex formation and activity, likely contributing to the general effect of USP11 on autophagy flux. Additionally, we found that USP11 modulates levels of mTOR, the most upstream kinase in autophagy initiation steps and general multifaceted metabolism regulator. Loss of USP11 led to downregulation of mTOR levels, suggesting USP11 may rescue mTOR from proteasome-mediated degradation. Furthermore, we found mTOR to be differentially modified depending on the activity of USP11. However, it remains to be shown if USP11-dependent mTOR regulation contributes to the observed autophagy phenotype. Taken together, USP11 is a novel, versatile, negative regulator of autophagy, and an important addition to our knowledge on the regulation of autophagy by the ubiquitin system.
Post-translational modifications (PTMs) of cell fate regulating proteins determine their stability, localization and function and control the activation of cell protective signaling pathways. Particularly in aberrantly dividing cancer cells the surveillance of cell cycle progression is essential to control tumorigenicity. In a variety of carcinomas, lymphomas and leukemias, the tumor-suppressive functions of the apoptosis- and senescence-regulating promyelocytic leukemia protein (PML) is controlled by numerous PTMs. PML poly-ubiquitylation and polySUMOylation at several lysine (K) residues induce PML degradation that is correlated to a progressive and invasive cancer phenotype. Besides several known E3 ubiquitin protein ligases that are involved in PML degradation, less is known about PML-specific deubiquitylases (DUBs), the respective DUB-controlled ubiquitin conjugation sites and the functional consequences of PML (de)ubiquitylation. Here, we show that the pro-tumorigenic DUB USP22 critically regulates PML protein stability by modifying PML residue K394 in advanced colon carcinoma cells in vitro and that this modification also impacts the homeostasis and function of the leukemia-associated mutant variant PML-RARα. We found that ablation of USP22 decreases PML mono-ubiquitylation and correlates with a prolonged protein half-live in colon carcinoma and acute promyelocytic leukemia (APL) cell lines. Additionally, silencing of USP22 enhances interferon and interferon-stimulated gene (ISG) expression in APL cells in vitro, which together with prolonged PML-RARα stability increases the APL cell sensitivity towards differentiation treatment. In accordance with the novel roles of USP22 as suppressor of the interferon response in human intestinal epithelial cells (hIECs), our findings imply USP22-dependent surveillance of PML-RARα stability and interferon signaling in human leukemia cells, revealing USP22 as central regulator of leukemia pathogenesis.
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.
Mitogen activated protein kinases (MAPKs) are found in all eukaryotic cells and represent crucial elements in the signal transduction from the plasma membrane to the nucleus. Although a broad variety of extracellular stimuli activate MAPKs, they evoke very distinct cellular responses. The amplitude and duration of MAPK activation determine signal identity and ultimately cell fate. A tight and finely tuned regulation is therefore critical for a specific cellular response. The role and the regulation of extracellular signal-regulated kinase 5 (ERK5), a MAPK with a large and unique C-terminal tail, were studied in different cellular systems. The study highlights two aspects of ERK5 regulation: control of the phosphorylation state and regulated protein stability. In analogy to other MAPKs ERK5 is activated by dual phosphorylation of threonine and tyrosine residues in its activation motif. A first part of the study concentrates on whether and how the protein tyrosine phosphatase PTP-SL is involved in the downregulation of the ERK5 signal. The direct interaction of both proteins is shown to result in mutual modulation of their enzymatic activities. PTP-SL is a substrate of ERK5 and, independent of its phosphorylation, binding to the kinase enhances its catalytic phosphatase activity. On the other hand, interaction with PTP-SL does not only downregulate enzymatic ERK5 activity but also effectively impedes its translocation to the nucleus. The second part of this study focuses on the interaction of ERK5 with c-Abl and its oncogenic variants Bcr/Abl and v-Abl. In this study these tyrosine kinases are demonstrated to regulate ERK5 by two mechanisms: first, by induction of kinase activity and secondly, by stabilisation of the ERK5 protein. Stabilisation involves the direct interaction of unique ERK5 domains with Abl kinases and is independent of MAPK cascade activation. The level of ERK5 and its intrinsic basal activity – rather than its activation – are essential for v-Abl-induced transformation as well as for survival of Bcr/Abl-positive leukaemia cells. Stabilisation of ERK5 thus contributes to cell survival and should therefore be considered as an additional aspect in therapy of chronic myeloid leukaemia. Taken together, the results obtained in this study demonstrate that diverse pathways regulate ERK5 signalling by affecting kinase activity, localisation and protein stability. While the phosphatase PTP-SL is involved in negative regulation of ERK5, Abl kinases potently activate ERK5 and increase its half-life. Protein stabilisation thus is presented as a novel mechanism in the regulation of MAPKs.
A new experimental setup, for pump-probe fs DFWM measurements, which is based on a femtosecond laser system, has been constructed. It allows for the investigation of molecular species in the gas phase at different temperatures, from ~30 K in a seeded supersonic jet up to ~500 K in a heat-pipe oven. In comparison to other RCS methods the employed fs DFWM technique is less complicated and gives much higher signal-to-noise ratio [BFZ86, FeZ95a, CKS89, CCH90, HCF91, WRM02, Rie02]. A general computer code for the simulation of fs DFWM spectra of nonrigid asymmetric top molecules has been developed. This new DFWM code in combination with a non-linear fitting routine allows one to determine rotational and centrifugal distortion constants and obtain information on the polarizability tensor components from the experimental spectra. Fs DFWM spectroscopy was successfully applied to the medium-sized molecules benzene and benzene-d6 in a gas cell and in a supersonic jet. The spectrum from a seeded expansion has been measured up to delay time of 3.9 ns (restricted by the length of the delay stage) with excellent signal-to-noise ratio (102-103). In that way 87 and 72 J-type transients have been recorded for benzene and benzene-d6, correspondingly. A relative accuracy on the order of 10-5 has been achieved for the rotational constant. From the room temperature experiments, precise values of centrifugal distortion constants DJ and DJK have been extracted. The literature data for cyclohexane have been revised and a new precise rotational constant B0 has been obtained, which is (+5.5 MHz) shifted from the one reported in the former Raman investigation by Peters et al. [PWW73]. Additionally, high-level ab initio calculations of cyclohexane have been carried out using a large number of basis sets at several levels of theory. In particular, the vibrational averaging effects have been examined in order to critically compare the experimentally determined and theoretically evaluated rotational constants. The contribution of highly symmetric vibrational modes to vibrational averaging effects was clarified. More structural information could be obtained from fs DFWM measurements of asymmetric top species, since different type of rotational recurrences can appear, and all three rotational constants (A, B, C) can be extracted. On the other hand the analysis of the asymmetric top spectra is no longer trivial. In fact the simple formula for rotational recurrence periods of symmetric top species (Tab. 2.1) can not be applied to asymmetric top molecules. Thus, in order to extract high-resolution data for asymmetric species, a complete fitting of the experimental spectra is necessary. The fs DFWM and (1+2') PPI method have been applied to the asymmetric top molecules pyridine in the ground (S0) and pDFB in the S0 and electronically excited (S1) states. By fitting the measured fs DFWM spectra the rotational and centrifugal distortion constants have been extracted with good precision and the value of the parametrized polarizability angle of pDFB was obtained. In this work, the first application of fs DFWM spectroscopy to a molecular cluster has been reported. Also, the chemical equilibrium between monomeric and dimeric species was studied. In particular formic and acetic acid have been investigated in a gas cell and in a supersonic expansion. Many spectral features have been observed and analized in the fs DFWM spectrum of formic acid vapor in a gas cell at room temperature. Most of them were attributed to rotational recurrences of the formic acid monomer, but also spectral feature originating from the formic acid dimer of O-H×××O/O×××H-O type have been detected and analyzed. From the fitted simulation, the rotational and centrifugal distortion constants, and parametrized polarizability angle were extracted for the dimeric structure of O-H×××O/O×××HO type. With the assumption of unperturbed monomers a center-of-mass distance of R = 2.990 ± 0.001 Å for the monomers within the dimer has been calculated from the spectroscopic results. This distance is 0.028 Å smaller than that reported from electron diffraction [ABM69]. Thus, the centers-of-mass distance was assigned as the main point of disagreement between results of fs DFWM and electron diffraction experiments. In contrast to formic acid, acetic acid shows strong recurrences from dimeric species even in the fs DFWM spectra at room temperature. This is explained in terms of different symmetry of the moments-of-inertia tensor, which modulates the intensity of RRs (the fs DFWM signal is in general stronger from symmetric species). Due to the symmetric nature of the acetic acid dimer, only the sum (B+C) of the rotational constants has been extracted. The changes of geometrical parameters upon dimer formation have been analyzed for, both, formic and acetic acid. A heat-pipe oven has been used in order to overcome the main drawback of fs DFWM spectroscopy – the square dependence of the signal intensity on the sample number density. Two-ring molecules (cyclohexylbenzene, para-cyclohexylaniline and nicotine) with low vapor pressure (<0.1 mbar) at room temperature have been investigated. From the analysis of the experimental and ab-initio results for CHB and pCHA a nearly perpendicular conformation of the aromatic vs. cyclohexane ring for both system is inferred. The enlargement of the benzene ring of CHB in the electronically excited state (S1) has been found to cause the smaller rotational constants in S1. This conclusion has been drawn from the comparison of the ground and electronically excited state experimental rotational constants in combination with ab-initio calculations. The extraction of precise structural information for nicotine was not possible due to it weak fs DFWM signal. However, the fact that fs DFWM technique can be applied to conformational analysis of molecular species in an equilibrium mixture opens other applications for this kind of spectroscopy. In general the results obtained in this work show that the fs DFWM technique, being an experimental implementation of RCS, provides one with an important tool for structural analysis of molecular species in the gas phase in particular for the species to which microwave spectroscopy can not be applied. It gives spectra with excellent signal-to-noise ratio even at low number density samples expanded in a seeded supersonic jet. It provides an alternative and innovative approach towards rotational Raman spectroscopy of large polyatomic molecules applicable under various experimental conditions (broad temperature and pressure range). With the introduction of femtosecond (10-15s) laser pulses (usually picosecond (10-12s) laser pulses were used in RCS) an improvement in time-resolution and therefore in precision for the rotational constants by more than one order of magnitude has been achieved. Molecular systems in the ground electronic state without permanent dipole moment and chromophore can be studied with high precision, providing thereby molecular benchmark systems for the electronic structure theory. As has been shown, the study of molecular clusters by fs DFWM spectroscopy is possible, but its potential are restricted by the square dependence of the fs DFWM signal from the sample number density, which is even more important for supersonic jet expansions. Here, the application of near-resonant and resonant FWM schemes should help in order to compensate for the low sample concentration. With the introduction of the heat pipe oven for fs DFWM experiments, the investigation of large nonvolatile molecules under equilibrium conditions is possible now. In our laboratory the first results on the structural analysis of different conformers of pyrrolidine in the gas phase have been obtained [MaR04]. This method can have even more prospects for the structural investigations of large molecular species in combination with new non-thermal gas phase sources for nonvolatile molecules, like laser desorption [CTL89], laser oblation [MHL83], electrospray [FMM90], laser induced liquid beam ion desorption [KAB96, Sob00] etc. A very recent application of the fs DFWM technique is the investigation of the influence of strong laser fields on molecular gas phase sample, which could range from active alignment [PPB03] over molecular deformation to field ionization [CSD03]. In regards to future development in fs DFWM spectroscopy for more complex molecules one has to take into account, how large amplitude motions such as the van der Waals vibrations or internal rotation (see section 6.4.2) affect the rotational coherences. In any case, femtosecond Degenerate Four-Wave Mixing as experimental implementation of Rotational Coherence Spectroscopy can be considered as an innovative, developing, and powerful method for the structural investigation of the molecular species, which are hard to study by classical frequency-resolved spectroscopy [FeZ95a, Dan01, Rie02].
Photoinduzierte Energietransferprozesse und -reaktionen spielen in vielen Gebieten von Chemie, Physik und Biologie eine wichtige Rolle. Zu den prominentesten Beispielen zählen der Lichtsammelprozess in der Photosynthese und der Anregungsenergietransfer in funktionellen Materialien. Der Fokus dieser Arbeit liegt auf letzterem Bereich, genauer auf organischer Elektronik und flexiblen Donor-Akzeptor-Bausteinen und Schaltern. Im Besonderen werden hier zwei verschiedene Typen von funktionellen organischen Systemen betrachtet: zum einen oligomere Fragmente organischer halbleitender Polymere wie Oligo-p-Phenylen-Vinylen (OPV) und Oligo-Thiophen (OT), welche als Bausteine für neuartige organische Solarzellen dienen, und zum anderen kleine funktionelle Donor-Akzeptor-Einheiten wie Dithienylethen-Bordipyrromethen (DTE-BODIPY). Letzteres wurde in Kooperation mit den experimentellen Gruppen von K. Rück-Braun (TU Berlin) und J. Wachtveitl (Goethe Universität) untersucht. Um die relevanten Energietransfermechanismen genauer zu verstehen, wurden an diesen Systemen elektronische Strukturrechnungen und quantendynamische Untersuchungen durchgeführt. Hierzu wurden mittels ab initio-Methoden Modell-Hamiltonians parametrisiert und mit hochdimensionalen quantendynamischen oder semiklassischen Methoden kombiniert. Während die Parametrisierung für kleinere Fragmente durchgeführt wurde, lässt sich der so parametrisierte Hamiltonian ohne Weiteres auf größere Systeme erweitern. Die dynamischen Studien der betreffenden Systeme wurden mittels der Multikonfigurationellen Zeitabhängigen Hartree (MCTDH) Methode durchgeführt, welche eine vollständige quantendynamische Beschreibung des Systems zulässt. Für größere Systeme wurde die semiklassische Ehrenfest Methode in Verbindung mit dem Langevin-Ansatz zur Beschreibung von Umgebungseffekten genutzt. Hierzu wurde ein eigens für diese Methode und Systeme geschriebenes Programm eingesetzt. Im Falle der OT- und OPV-Oligomere wurde die Dynamik bei Vorliegen eines strukturellen Defekts untersucht. Ziel war es hierbei, die dynamischen Phänomene, welche durch die Photoanregung induziert werden, zu untersuchen. Des Weiteren wurde untersucht, ob das Konzept von „spektroskopischen Einheiten“, welche die Lokalisierung der Anregung durch strukturelle Defekte beschreibt, in diesen Systemen zutrifft. Hierzu wurden die Systeme in einer Frenkel-Basis definiert, welche ein auf einem Monomer lokalisiertes Elektron-Loch-Paar beschreibt. Delokalisierte elektronische Anregungen können somit als Superposition solcher Frenkel-Zustände beschrieben werden. Neben der Frenkel-Basis wurde aber auch eine verallgemeinerte Elektron-Loch-Basis verwendet, welche über zusätzliche Ladungstransferzustände eine räumliche Separation von Elektronen und Löchern erlaubt.Die Parametrisierung des OPV- und OT-Hamiltonians erfolgte mittels der Algebraischen Diagrammatischen Konstruktions (ADC(2))-Methode, welche in Kombination mit einer Übergangs-Dichte-Matrix-Analyse eine sehr akkurate Beschreibung der Frenkel- und Ladungstransferzustände basierend auf den supermolekularen Zuständen erlaubt. Um vibronische Effekte auf die Dynamik miteinzubeziehen,wurden nieder- und hochfrequente Torsions- und alternierende Bindungslängenmoden des Systems im Hamiltonian berücksichtigt. Hierzu wurden eindimensionale Schnitte der Potentialflächen entlang dieser Koordinaten berechnet und mittels einer Transformation in diabatische Potentialflächen überführt. Mit diesem Setup wurden die quantendynamischen und semiklassischen Simulationen für ein OPV/OT-Hexamer und ein 20-mer durchgeführt. Die Ergebnisse dieser Simulationen zeigen, dass der Energietransfer auf einer Subpikosekunden-Zeitskala stattfindet und eine starke Abhängigkeit vom Vorliegen eines strukturellen Defekts aufweist. Des Weiteren konnte auf einer Zeitskala von 100 Femtosekunden eine Lokalisierung des Exzitons beobachtet werden. Fluktuationseffekte werden zudem über Quantenfluktuationen im Falle von MCTDH bzw. über thermische Fluktuationen im Falle des Ehrenfest-/Langevin-Ansatzes berücksichtigt. Letzterer ist jedoch nicht in der Lage, die kohärente Charakteristik der mit den Schwingungsmoden gekoppelten Exziton- und Lokalisierungsdynamik wiederzugeben. Dagegen kann dieser Ansatz erfolgreich genutzt werden, um eine fluktuationsgetriebene „Hopping“-Dynamik des quasi- stationären Zustandes auf einer längeren Zeitskala in Abhängigkeit von der Temperatur zu beschreiben. Die Beschreibung der Photodynamik der DTE-BODIPY-Dyade zielt darauf ab, experimentell beobachtete vibrationelle Schwingungen des BODIPY-Fragments zu erklären, die ohne eine direkte Anregung dieses Fragments zustande kommen. Diese wurden nach einer selektiven Anregung des DTE-Fragments in zeitaufgelösten UV/Vis Anreg-Abtast-Experimenten beobachtet. Der Fokus der Untersuchung liegt daher auf der Beschreibung der photoinduzierten intramolekulare Energieumverteilung (IVR) auf einer Subpikosekunden-Zeitskala. Die DTE-BODIPY Dyade wurde mittels eines Hamiltonians, welcher durch TDDFT Rechnungen parametrisiert wurde, dargestellt. Basierend auf den Normalmoden des Systems, wurden lokale DTE- und BODIPY-Moden konstruiert, wobei einige dieser Moden miteinander gekoppelt sind und die Photoanregung des DTE auf das BODIPY-Fragment übertragen. Hierbei zeigte sich, dass die Zeitskala und die charakteristischen Frequenzen des Experiments mittels der hochdimensionalen MCTDH-Methode gut reproduziert wurden. Aus den Simulationen ergab sich zudem, dass der beobachtete Energietransfer stark von einem Reservoir von vibrationell angeregten lokalen DTE-Moden beeinflusst wird. Der untersuchte IVR- Prozess zeigt zudem eine ausgeprägte Abhängigkeit von lokalen Kopplungen und der Kopplung an eine Umgebung.
By adopting a variety of shapes, proteins can perform a wide number of functions in the cell, from being structural elements or enabling communication with the environment to performing complex enzymatic reactions needed to sustain metabolism. The number of proteins in the cell is limited by the number of genes encoding them. However, several mechanisms exist to increase the overall number of protein functions. One of them are post-translational modifications, i.e. covalent attachment of various molecules onto proteins. Ubiquitin was the first protein to be found to modify other proteins, and, faithful to its evocative name, it is involved in nearly all the activities of a cell. Ubiquitylation of proteins was believed for a long time only to be responsible for proteasomal degradation of modified proteins. However, with the discovery of various types of ubiquitylation, such as mono-, multiple- or poly-ubiquitylation, new functions of this post-translational modification emerged. Mono-ubiquitylation has been implicated in endocytosis, chromatin remodelling and DNA repair, while poly-ubiquitylation influences the half-life of proteins or modulates signal transduction pathways. DNA damage repair and tolerance are example of pathways extensively regulated by ubiquitylation. PCNA, a protein involved in nearly all types of DNA transaction, can undergo both mono- and poly-ubiquitylation. These modifications are believed to change the spectrum of proteins that interact with PCNA. Monoubiquitylation of PCNA is induced by stalling of replication forks when replicative polymerases (pols) encounter an obstacle, such as DNA damage or tight DNA-protein complexes. It is believed that monoubiquitylation of PCNA stimulates the exchange between replicative pols to one of polymerases that can synthesize DNA across various lesions, a mechanism of damage tolerance known as translesion synthesis (TLS). Our work has helped to understand why monoubiqutylation of PCNA favours this polymerase switch. We have identified two novel domains with the ability to bind Ub non-covalently. These domains are present in all the members of Y polymerases performing TLS, and were named Ub-binding zinc finger (UBZ) (in polη and polκ) and Ub-binding motif (UBM) (in polι and Rev1). We have shown that these domains enable Y polymerases to preferentially gain access to PCNA upon stalling of replication, when the action of translesion polymerases is required. While the region of direct interaction between Y pols and PCNA had been known (BRCT domain in Rev1 and PIP box motif (PIP) in three others members), we propose that Ub-binding domains (UBDs) in translesion Y pols enhance the PIP- or BRCT-domain-mediated interaction between these polymerases and PCNA by binding to the Ub moiety attached onto PCNA. Following these initial studies, we have also discovered that Y polymerases themselves undergo monoubiquitylation and that their UBDs mediate this modification. This auto-ubiquitylation is believed to lead to an intramolecular interaction between UBD and Ub attached in cis onto the UBD-containing protein. We have mapped monoubiquitylation sites in polη in the C-terminal portion of the protein containing the nuclear localization signal (NLS) and the PIP box. Beside PIP, the NLS motif is also involved in direct interaction of polη with PCNA. Based on these findings, we propose that monoubiquitylation of either NLS or PIP masks them from potential interaction with PCNA. Lastly, using several functional assays, we have demonstrated the importance of all these three motifs in the C-terminus of polη (UBZ, NLS and PIP) for efficient TLS. We have also constructed a mimic of monoubiquitylated polη by genetically fusing polη with Ub. Interestingly, this chimera is deficient in TLS as compared to the wild-type protein. Altogether, these studies demonstrate that the C-terminus of polη constitutes a regulatory module involved in multiple-site interaction with monoubiquitylated PCNA, and that monoubiquitylation of this region inhibits the interaction between polη and PCNA. Our work has also revealed that the UBDs of Y pols as well as of other proteins implicated in DNA damage repair and tolerance, such as the Werner helicase-interacting protein 1 (Wrnip1), are required for their proper sub-nuclear localization. All these proteins localize to discrete focal structures inside the nucleus and mutation of their UBDs results in inability to accumulate in these foci. Interestingly, by exchanging UBDs between different proteins we have learned that each UBD seems to have a distinct functional role, surprisingly not limited to Ubbinding ability. In fact, swapping the UBZ of Wrnip1 with the UBM of polι abolished the localization of Wrnip1 to foci despite preserving the Ub-binding ability of the chimeric protein. In summary, this work provides an overview of how post-translation modification of proteins by Ub can regulate several DNA transactions. Firstly, key regulators (e.g. PCNA) can be differentially modified by Ub. Secondly, specialized UBDs (e.g. UBM, UBZ) embedded only in a subset of proteins act as modules able to recognize these modifications. Thirdly, by means of mediating auto-ubiquitylation, UBDs can modulate the behaviour of host proteins by allowing for either in cis or in trans Ub-UBD interactions.