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Cytotoxic T-lymphocytes play an important role in the protection against viral infections, which they detect through the recognition of virus-derived peptides, presented in the context of MHC class I molecules at the surface of the infected cell. The transporter associated with antigen processing (TAP) plays an essential role in MHC class I–restricted antigen presentation, as TAP imports peptides into the ER, where peptide loading of MHC class I molecules takes place. In this study, the UL49.5 proteins of the varicelloviruses bovine herpesvirus 1 (BHV-1), pseudorabies virus (PRV), and equine herpesvirus 1 and 4 (EHV-1 and EHV-4) are characterized as members of a novel class of viral immune evasion proteins. These UL49.5 proteins interfere with MHC class I antigen presentation by blocking the supply of antigenic peptides through inhibition of TAP. BHV-1, PRV, and EHV-1 recombinant viruses lacking UL49.5 no longer interfere with peptide transport. Combined with the observation that the individually expressed UL49.5 proteins block TAP as well, these data indicate that UL49.5 is the viral factor that is both necessary and sufficient to abolish TAP function during productive infection by these viruses. The mechanisms through which the UL49.5 proteins of BHV-1, PRV, EHV-1, and EHV-4 block TAP exhibit surprising diversity. BHV-1 UL49.5 targets TAP for proteasomal degradation, whereas EHV-1 and EHV-4 UL49.5 interfere with the binding of ATP to TAP. In contrast, TAP stability and ATP recruitment are not affected by PRV UL49.5, although it has the capacity to arrest the peptide transporter in a translocation-incompetent state, a property shared with the BHV-1 and EHV-1 UL49.5. Taken together, these results classify the UL49.5 gene products of BHV-1, PRV, EHV-1, and EHV-4 as members of a novel family of viral immune evasion proteins, inhibiting TAP through a variety of mechanisms.
The degradation of the poly(A) tail is crucial for posttranscriptional gene regulation and for quality control of mRNA. Poly(A)-specific ribonuclease (PARN) is one of the major mammalian 3’ specific exo-ribonucleases involved in the degradation of the mRNA poly(A) tail, and it is also involved in the regulation of translation in early embryonic development. The interaction between PARN and the m7GpppG cap of mRNA plays a key role in stimulating the rate of deadenylation. Here we report the solution structures of the cap-binding domain of mouse PARN with and without the m7GpppG cap analog. The structure of the cap-binding domain adopts the RNA recognition motif (RRM) with a characteristic a-helical extension at its C-terminus, which covers the b-sheet surface (hereafter referred to as PARN RRM). In the complex structure of PARN RRM with the cap analog, the base of the N7-methyl guanosine (m7G) of the cap analog stacks with the solvent-exposed aromatic side chain of the distinctive tryptophan residue 468, located at the C-terminal end of the second b-strand. These unique structural features in PARN RRM reveal a novel cap-binding mode, which is distinct from the nucleotide recognition mode of the canonical RRM domains.
Pulsed electron-electron double resonance (PELDOR) is a well established method concerning nanometer distance measurements involving two nitroxide spin-labels. In this thesis the applicability of this method to count the number of spins is tested. Furthermore, this work explored the limits, up to which PELDOR data obtained on copper(II)-nitroxide complexes can be quantitatively interpreted. Spin counting provides access to oligomerization studies – monitoring the assembly of homo- or hetero-oligomers from singly labeled compounds. The experimental calibration was performed using model systems, which contain one to four nitroxide radicals. The results show that monomers, dimers, trimers, and tetramers can be distinguished within an error of 5% in the number of spins. Moreover, a detailed analysis of the distance distributions in model complexes revealed that more than one distance can be extracted from complexes bearing several spins, as for example three different distances were resolved in a model tetramer – the other three possible distances being symmetry related. Furthermore, systems exhibiting mixtures of oligomeric states complicate the analysis of the data, because the average number of spin centers contributes nonlinearly to the signal and different relaxation behavior of the oligomers has to be treated explicitly. Experiments solving these problems are proposed in the thesis. Thus, for the first time spin counting has been experimentally calibrated using fully characterized test systems bearing up to four spins. Moreover, the behavior of mixtures was quantitatively interpreted. In addition, it has been shown that several spin-spin distances within a molecule can be extracted from a single dataset. In the second part of the thesis PELDOR experiments on a spin-labeled copper(II)-porphyrin have been quantitatively analyzed. Metal-nitroxide distance measurements are a valuable tool for the triangulation of paramagnetic metal ions. Therefore, X-band PELDOR experiments at different frequencies have been performed. The data exhibits only weak orientation selection, but a fast damping of the oscillation. The experimental data has been interpreted based upon quantitative simulations. The influence of orientation selection, conformational flexibility, spin-density distribution, exchange interaction J, as well as anisotropy and strains of the g-tensor has been examined. An estimate of the spin-density delocalization has been obtained by density functional theory calculations. The dipolar interaction tensor was calculated from the point-charge model, the extension of the point-dipole approximation to several spin bearing centers. Even assuming asymmetric spin distributions induced by an ensemble of asymmetrically distorted porphyrins the effect of delocalization on the PELDOR time trace is weak. The observed damping of dipolar oscillations has been only reproduced by simulations, if a small distribution in J was assumed. It has been shown that the experimental damping of dipolar modulations is not solely due to conformational heterogeneity. In conclusion the quantitative interpretation of PELDOR data is extended to copper-nitroxide- and multi-spin-systems. The influence of the mean distance, of the number of coupled spins, of the conformational flexibility, of spin-density distribution and of the electronic structure of the spin centers has been analyzed using model systems. The insights on model compounds mimicking spin-labeled biomacromolecules – in oligomeric or metal bound states – calibrate the method with respect to the information that can be deduced from the experimental data. The resulting in-depth understanding allows correlating experimental results (from for example biological systems) with models of structure and dynamics. It also opens new fields for PELDOR as for example triangulation of metal centers and oligomerization studies. In general, this thesis has demonstrated that modern pulsed electron paramagnetic resonance techniques in combination with quantitative data analysis can contribute to a detailed insight into molecular structure and dynamics.
Antibiotic resistance of pathogenic bacteria is a major worldwide problem. Bacteria can resist antibiotics by active efflux due to multidrug efflux pumps. The focus of this study has been the mycobacterial multidrug transporter TBsmr because it belongs to the small multidrug resistance (SMR) family whose members are a paradigm to study multidrug efflux due to their small size. SMR proteins are typically 11-12 kDa in size and have a four-transmembrane helix topology. They bind cationic, lipophilic antibiotics such as ethidium bromide (EtBr) and TPP+, and transport them across the membrane in exchange for protons. To understand the molecular mechanism of multidrug resistance, we have to gain information about the structure and function of these proteins. The research described in this thesis aimed to deduce details about the topology, transport cycle and key residues of TBsmr using biophysical techniques. Solid-state NMR (ssNMR) can provide detailed insight into structural organization and dynamical properties of these systems. However, a major bottleneck is the preparation of mg amounts of isotope labeled protein. In case of proteoliposomes, the problem is compounded by the presence of lipids which have to fit into the small active volume of the ssNMR rotor. In Chapter 3, an enhanced protein preparation is described which yields large amounts of TBsmr reconstituted in a native lipid environment suitable for further functional and structual studies. The achieved high protein-to-lipid ratios made a further characterization by ssNMR feasible. The transport activity and oligomeric state of the reconstituted protein in different types of lipid was studied as shown in Chapter 4. The exact oligomeric state of native SMR proteins is still uncertain but a number of biochemical and biophysical studies in detergent suggest that the minimal functional unit capable of binding substrate is a dimer. However, binding assays are not ideal since a protein may bind substrate without completing the transport cycle which can only be shown for reconstituted protein in transport assays.By combining functional data of a TPP+ transport assay with information about theoligomeric state of reconstituted TBsmr obtained by freeze-fracture electron microscopy, it could be shown that lipids affect the function and the oligomeric state of the protein, and that the TBsmr dimer is the minimal functional unit necessary for transport. The transport cycle must involve various conformational states of the protein needed for substrate binding, translocation and release. A fluorescent substrate will therefore experience a significant change of environment while being transported, which influences its fluorescence properties. Thus the substrate itself can report intermediate states that form during the transport cycle. In Chapter 5, the existence of such a substrate-transporter complex for the TBsmr and its substrate EtBr could be shown. The pH gradient needed for antiport has been generated by co-reconstituting TBsmr with bacteriorhodopsin. The measurements have shown the formation of a pH-dependant, transient substrate-protein complex between binding and release of EtBr. This state was further characterized by determining the Kd, by inhibiting EtBr transport through titration with non-fluorescent substrate and by fluorescence anisotropy measurements. The findings support a model with a single occluded intermediate state in which the substrate is highly immobile. Liquid-state NMR is a useful tool to monitor protein-ligand interactions by chemical shift mapping and thus identify and characterize important residues in the protein which are involved in substrate binding. In agreement with previous studies (Krueger-Koplin et al., 2004), the detergent LPPG was found to be highly suitable for liquid-state NMR studies of the membrane protein TBsmr and 42% of the residues could be assigned, as reported in Chapter 6. However, no specific interactions with EtBr were found. This observation was confirmed by LILBID mass spectrometry which showed that TBsmr was predominantly in the non-functional monomeric state. Functional protein was prepared in proteoliposomes which can be investigated by solidstate NMR (Chapter 7). Besides the essential E13, the aromatic residues W63, Y40, and Y60 have been shown to be directly involved in drug binding and transport. Different isotope labeling strategies were evaluated to improve the quality of the NMR spectra to identify and characterize these key residues. In a single tryptophan mutant of reconstituted TBsmr W30A, the binding of ethidium bromide could be detected by 13C solid-state NMR. The measurements have revealed two populations of the conserved W63 residue with distinct backbone structures in the presence of substrate. There is a controversy about the parallel or anti-parallel arrangement of the protomers in the EmrE dimer (Schuldiner, 2007) but this structural asymmetry is consistent with both a parallel and anti-parallel topology.
Poster presentation In pharmaceutical research and drug development, machine learning methods play an important role in virtual screening and ADME/Tox prediction. For the application of such methods, a formal measure of similarity between molecules is essential. Such a measure, in turn, depends on the underlying molecular representation. Input samples have traditionally been modeled as vectors. Consequently, molecules are represented to machine learning algorithms in a vectorized form using molecular descriptors. While this approach is straightforward, it has its shortcomings. Amongst others, the interpretation of the learned model can be difficult, e.g. when using fingerprints or hashing. Structured representations of the input constitute an alternative to vector based representations, a trend in machine learning over the last years. For molecules, there is a rich choice of such representations. Popular examples include the molecular graph, molecular shape and the electrostatic field. We have developed a molecular similarity measure defined directly on the (annotated) molecular graph, a long-standing established topological model for molecules. It is based on the concepts of optimal atom assignments and iterative graph similarity. In the latter, two atoms are considered similar if their neighbors are similar. This recursive definition leads to a non-linear system of equations. We show how to iteratively solve these equations and give bounds on the computational complexity of the procedure. Advantages of our similarity measure include interpretability (atoms of two molecules are assigned to each other, each pair with a score expressing local similarity; this can be visualized to show similar regions of two molecules and the degree of their similarity) and the possibility to introduce knowledge about the target where available. We retrospectively tested our similarity measure using support vector machines for virtual screening on several pharmaceutical and toxicological datasets, with encouraging results. Prospective studies are under way.