Seit Jahrhunderten wird menschliches Wissen in Form von natürlicher Sprache ausgetauscht und in Dokumenten schriftlich aufgezeichnet. In den letzten Jahren konnte man auf dem Gebiet der Lebenswissenschaften eine exponentielle Zunahme wissenschaftlicher Publikationen beobachten. Diese Dissertation untersucht die automatische Extraktion von Beziehungen zwischen Eigennamen. Innerhalb dieses Gebietes beschäftigt sich die Arbeit mit der Steigerung der Robustheit für die Relationsextraktion. Zunächst wird der Einsatz von Ensemble-Methoden anhand von Daten aus der "Drug-drug-interaction challenge 2013" evaluiert. Ensemble-Methoden erhöhen die Robustheit durch Aggregation unterschiedlicher Klassifikationssysteme zu einem Modell. Weiterhin wird in dieser Arbeit das Problem der Relationsextraktion auf Dokumenten mit unbekannten Texteigenschaften beschrieben. Es wird gezeigt, dass die Verwendung des halb-überwachten Lernverfahrens self training in solchen Fällen eine höhere Robustheit erzielt als die Nutzung eines Klassifikators, der lediglich auf einem manuell annotierten Korpus trainiert wurde. Zur Ermittlung der Robustheit wird das Verfahren des cross-learnings verwendet. Zuletzt wird die Verwendung von distant-supervision untersucht. Korpora, welche mit der distant-supervision-Methode erzeugt wurden, weisen ein inhärentes Rauschen auf und profitieren daher von robusten Relationsextraktionsverfahren. Es werden zwei verschiedene Methoden untersucht, die auf solchen Korpora trainiert werden. Beide Ansätze zeigen eine vergleichbare Leistung wie vollständig überwachte Klassifikatoren, welche mit dem cross-learning-Verfahren evaluiert wurden. Um die Nutzung von Ergebnissen der Informationsextraktion zu erleichtern, wurde die semantische Suchmaschine GeneView entwickelt. Anforderungen an die Rechenkapazität beim Erstellen von GeneView werden diskutiert und Anwendungen auf den von verschiedenen Text-Mining-Komponenten extrahierten Daten präsentiert. / For several centuries, a great wealth of human knowledge has been communicated by natural language, often recorded in written documents. In the life sciences, an exponential increase of scientific articles has been observed, hindering the effective and fast reconciliation of previous finding into current research projects. This thesis studies the automatic extraction of relationships between named entities. Within this topic, it focuses on increasing robustness for relationship extraction. First, we evaluate the use of ensemble methods to improve performance using data provided by the drug-drug-interaction challenge 2013. Ensemble methods aggregate several classifiers into one model, increasing robustness by reducing the risk of choosing an inappropriate single classifier. Second, this work discusses the problem of applying relationship extraction to documents with unknown text characteristics. Robustness of a text mining component is assessed by cross-learning, where a model is evaluated on a corpus different from the training corpus. We apply self-training, a semi-supervised learning technique, in order to increase cross-learning performance and show that it is more robust in comparison to a classifier trained on manually annotated text only. Third, we investigate the use of distant supervision to overcome the need of manually annotated training instances. Corpora derived by distant supervision are inherently noisy, thus benefiting from robust relationship extraction methods. We compare two different methods and show that both approaches achieve similar performance as fully supervised classifiers, evaluated in the cross-learning scenario. To facilitate the usage of information extraction results, including those developed within this thesis, we develop the semantic search engine GeneView. We discuss computational requirements to build this resource and present some applications utilizing the data extracted by different text-mining components.

Les particules ribonucléoprotéiques (RNP) à boîtes C/D et H/ACA sont impliquées dans la maturation des UsnRNA et des précurseurs des ARNr. L'assemblage de ces RNP dans les cellules est un processus complexe faisant intervenir de nombreux facteurs cellulaires dont NUFIP, commun aux deux RNP, et NAF1, spécifique aux RNP à boîtes H/ACA. Le complexe de Survie des Motoneurones (SMN) est essentiel à la survie cellulaire et est nécessaire à l'assemblage d'une autre RNP, les UsnRNP, composants des spliceosomes. Un déficit en protéine SMN conduit à une pathologie grave, l'amyotrophie spinale. Plusieurs études suggèrent que le complexe SMN puisse également jouer un rôle dans l'assemblage des RNP à boîtes C/D et H/ACA. Dans le but d'obtenir de plus amples informations, nous avons testé si des interactions existent entre les constituants du complexe SMN et i) les protéines associées aux RNP matures, ainsi que ii) les autres facteurs d'assemblage déjà connus. Ainsi, par une approche de double hybride chez la levure, nous avons observé des interactions fortes entre NAF1 et les protéines Gemin3 et Gemin8 du complexe SMN. Comme la protéine coeur GAR1 des RNP à boîte H/ACA interagit avec la protéine SMN, ces données suggèrent que le complexe SMN participe à l'échange de NAF1 par GAR1, qui est une étape clé de la biogenèse des RNP à boîtes H/ACA. De plus, nous avons mis en évidence des interactions entre Gemin3/NUFIP, Gemin4/NUFIP et Gemin6/NUFIP. L'étude de cette dernière interaction a été approfondie. Nous avons montré que l'interaction est directe, qu'elle existe dans les cellules de mammifères à la fois dans le cytoplasme et le noyau, et nous avons défini les domaines de chaque protéine nécessaires à l'interaction, en collaboration avec l'équipe d'E. Bertrand (IGM Montpellier). Ces résultats ouvrent de larges perspectives quant à un lien fonctionnel entre le complexe SMN et NUFIP dans l'assemblage des RNP à boîtes C/D et H/ACA, mais aussi dans l'assemblage de la snRNP U4 et dans le mécanisme de traduction localisée dans les cellules / Box C/D and H/ACA ribonucleoparticles (RNPs) are required for UsnRNA and ribosomal RNA maturation. Their assembly in cells is a complex process, which implicates numerous cellular factors, such as NUFIP, a common assembly factor, and NAF1, which is a specific factor for H/ACA box RNP assembly. The Survival of Motoneurons (SMN) complex is essential for cell survival and is required for the assembly of another class of RNPs, the UsnRNPs, which are essential components of the splicing machinery. Decreased levels of the SMN protein lead to a severe disease, the spinal muscular atrophy. Several studies led to the proposal that the SMN complex also plays a role in the assembly of box C/D and H/ACA RNPs. In order to obtain more information, we analyzed whether some interactions may exist between components of the SMN complex and i) core proteins of mature RNPs, or ii) factors already known to be involved in the assembly. Using a yeast two-hybrid approach, we observed strong interactions between NAF1 and the SMN complex components, Gemin3 and Gemin8. Since the core H/ACA protein GAR1 interacts with the SMN protein, our data suggest that the SMN complex participates to the exchange of NAF1 by GAR1, which is a crucial step of H/ACA box RNP biogenesis. Furthermore, we discovered strong interactions between Gemin3/NUFIP, Gemin4/NUFIP and Gemin6/NUFIP. Concerning the Gemin6/NUFIP interaction, we showed that is direct, that it exists in both compartments in mammalian cells and we defined domains of both proteins necessary for the interaction in collaboration with the E. Bertrand team (IGM Montpellier). These results open new perspectives concerning functional links between the SMN complex and NUFIP in box H/ACA and C/D RNP assembly, but also in U4 snRNP assembly and in the mechanism of localized translation

O Cancro Cítrico, um dos mais graves problemas fitossanitários da citricultura atual, é uma doença causada pelo fitopatógeno Xanthomonas axonopodis pv. citri (Xac). Um estudo funcional do genoma de Xac foi iniciado com o intuito de identificar interações proteína-proteína envolvidas em processos de patogenicidade de Xac. Através da utilização do sistema duplo-híbrido de levedura, baseado nos domínios de ligação ao DNA e ativação da transcrição do GAL4, nós analisamos os principais componentes dos mecanismos de patogenicidade de Xac, incluindo o Sistema de Secreção do Tipo III (TTSS), Sistema de Secreção do Tipo IV (TFSS) e Sistema de \"Quorum Sensing\" composto pelas proteínas Rpf. Componentes desses sistemas foram utilizados como iscas na triagem de uma biblioteca genômica de Xac. O TTSS é codificado pelos genes denominados hrp (\"hypersensitive response and pathogenicity\"), hrc (\"hrp conserved\") e hpa (\"hrp associated\") localizados no locus hrp do cromossomo de Xac. Esse sistema de secreção é capaz de translocar proteínas efetoras do citoplasma bacteriano para o interior da célula hospedeira. Nossos resultados mostraram novas interações proteínaproteína entre componentes do próprio TTSS além de associações específicas com uma proteína hipotética: 1) HrpG, um regulador de resposta de um sistema de dois componentes responsável pela expressão dos genes hrp, e XAC0095, uma proteína hipotética encontrada apenas em Xanthomonas spp; 2) HpaA, uma proteína secretada pelo TTSS, HpaB e o domínio C-terminal da HrcV; 3) HrpB1, HrpD6 e HrpW, 4) HrpB2 e HrcU e 5) interações homotrópicas envolvendo a ATPase HrcN. Em Xac, foram encontrados dois loci vir que codificam proteínas que possuem similaridade com componentes do TFSS envolvido em processos de conjugação/secreção bacteriana: TFSS-plasmídeo localizado no plasmídeo pXAC64 e TFSS-cromossomo localizado no cromossomo de Xac. O TFSS-plasmídeo, o qual possui maior similaridade com sistemas de conjugação, mostrou interações envolvendo proteínas cujos genes estão localizados na mesma região do plasmídeo pXAC64: 1) interação homotrópica da TrwA; 2) XACb0032 e XACb0033; 3) interações homotrópicas da proteína XACb0035; 4) VirB1 e VirB9; 5) XACb0042 e VirB6; 6) XACb0043 e XACb0021b. O TFSS-cromossomo apresentou interações envolvendo as proteínas: 1) VirD4 e um grupo de 12 proteínas que contém similaridade entre si, incluindo XAC2609 cujo gene encontra-se no locus vir, 2) XAC2609 e XAC2610; 3) Interações homotrópicas da VirB11; 4) XAC2622 e VirB9. A análise do sistema de \"Quorum-Sensing\" composto pelas proteínas Rpf mostrou interações envolvendo componentes do próprio sistema: 1) RpfC e RpfF; 2) RpfC e RpfG; 3) interações homotrópicas da RpfF; 4) RpfC e CmfA, uma proteína similar a Cmf de Dictyostelium discoideum que, neste organismo, é fundamental para processos de \"quorum-sensing\". As interações proteína-proteína encontradas permitiram-nos entender melhor a composição, organização e regulação dos fatores envolvidos na patogenicidade de Xac. / Citrus Canker, caused by the bacterial plant pathogen Xanthomonas axonopodis pv. citri (Xac) presents one of the most serious problems to Brazilian citriculture. We have initiated a project to identify protein-protein interactions involved in pathogenicity of Xac. Using a yeast two-hybrid system based on GAL4 DNA-binding and activation domains, we have focused on identifying interactions involving subunits, regulators and substrates of: Type Three Secretion System (TTSS), Type Four Secretion System (TFSS) and Quorum Sensing/Rpf System. Components of these systems were used as baits to screening a random Xac genomic library. The TTSS is coded by the hrp (hypersensitive response and pathogenicity), hrc (hrp conserved) and hpa (hrp associated) genes in the chromosomal hrp locus. This secretion system can translocate efector proteins from the bacterial cytoplasm into the host cells. We have identified several previously uncharacterized interactions involving: 1) HrpG, a two-component system response regulator responsible for the expression of Xac hrp operons, and XAC0095, a previously uncharacterized protein encountered only in Xanthomonas spp; 2) HpaA, a protein secreted by the TTSS, HpaB and the C-terminal domain HrcV; 3) HrpB1, HrpD6 and HrpW; 4) HrpB2 and HrcU; 5) Homotropic interactions were also identified for the ATPase HrcN. Xac contains two virB gene clusters, one on the chromosome and one on the pXAC64 plasmid, each of which codes for a unique and previously uncharacterized TFSS. Components of the TFSS of pXAC64, which is most similar to conjugation systems, showed interactions involving proteins coded by the same locus: 1) Homotropic interactions of TrwA; 2) XACb0032 and XACb0033; 3) XAC0035 homotropic interactions; 4) VirB1 and VirB9; 5) XACb0042 and VirB6; 6) XACb0043 and XACb0021 b. Components of the chromosomal TFSS exhibited interactions involving: 1) VirD4 and a group of 12 uncharacterized proteins with a common C-terminal domain motif, include XAC2609 whose gene resides within the vir locus; 2) XAC2609 and XAC261 O; 3) Homotropic interactions of VirB11; 4) XAC2622 and VirB9. Analysis of Quorum Sensing/Rpf System components revealed interactions between the principal Rpf proteins which control Xanthomonas quorum sensing: 1) RpfC and RpfF; 2) RpfC and RpfG; 3) RpfF homotropic interactions; 4) RpfC and CmfA, a protein that presents similarity with Cmf (conditioned medium factor) of Dictyostelium discoideum, which contrais quorum sensing in this organism. The protein-protein interactions that we have detected reveal insights into the composition, organization and regulation of these important mechanisms involved in Xanthomonas pathogenicity.

Die dynamische Regulation von Protein-Protein Interaktionen (PPIs) ist wichtig für den Ablauf von biologischen Prozessen. Die circadiane Uhr, die einen ~24 Stunden Rhythmus generiert und eine Vielzahl von physiologischen Parametern steuert kann auch die Dynamik von PPIs regulieren. Um neue Erkenntnisse über regulatorische Mechanismen innerhalb des molekularen Oszillators zu gewinnen, habe ich zunächst alle möglichen PPIs zwischen 46 circadianen Komponenten mittels eines systematischen yeast-two-hybid (Y2H) Screens bestimmt. Dabei habe ich 109 bis dahin noch unbekannte PPIs identifiziert und einen repräsentativen Anteil mittels Co-Immunopräzipitationsexperimenten in humanen Zellen validiert. Unter den neuen PPIs habe ich bis dahin unbekannte Modulatoren der CLOCK/BMAL1 Transaktivierung identifiziert und dabei die Rolle der Proteinphosphatase 1 (PP1) als dynamischen Regulator der BMAL1 Stabilität funktionell charakterisiert. Das experimentelle PPI Netzwerk wurde mit bereits aus der Literatur bekannten PPIs und Interaktionspartnern ergänzt. Eine systematische RNAi Studie belegte außerdem die Relevanz der aus der Literatur stammenden Interaktoren für die ~24 Stunden Periodizität. Um eine Aussage über die Dynamik der PPIs im Netzwerk treffen zu können, wurden circadiane mRNA Expressionsdaten in das PPI Netzwerk integriert. Systematische Perturbationsstudien, in denen alle Komponenten des experimentellen Netzwerkes mittels RNAi herunterreguliert oder überexprimiert wurden, zeigten eine essentielle Bedeutung für die dynamischen PPIs innerhalb des circadianen Oszillators auf. Desweiteren wurden im circadianen PPI Netzwerk funktionelle Module identifiziert, welche dynamisch organsiert sind. Durch eine systemweite Analyse des humanen Proteoms wurden viele dynamische PPIs identifiziert, die biologische Prozesse wie z.B. Signaltransduktion und Zellzyklus miteinander verbinden. Rhythmische PPIs sind daher von Bedeutung für die zeitliche Organisation zellulärer Physiologie. / Essentially all biological processes depend on protein-protein interactions (PPIs). Timing of such interactions is crucial for regulatory function. Although circadian (~24 hrs) clocks constitute fundamental cellular timing mechanisms regulating important physiological processes PPI dynamics on this timescale are largely unknown. To elucidate so far unknown regulatory mechanisms within the circadian clockwork, I have systematically mapped PPIs among 46 circadian components using high-throughput yeast-two-hybrid (Y2H) interaction experiments. I have identified 109 so far uncharacterized interactions and successfully validated a sub-fraction via co-immunoprecipitation experiments in human cells. Among the novel PPIs, I have identified modulators of CLOCK/BMAL1 function and further characterized the role of protein phosphatase 1 (PP1) in the dynamic regulation of BMAL1 abundance. Furthermore, to generate a more comprehensive circadian PPI network, the experimental network was enriched and extended with additional interactions and interaction partners from literature, some of which turned out to be essential for normal circadian dynamics. The integration of circadian mRNA expression profiles allowed us to determine the interaction dynamics within our network. Systematic genetic perturbation studies (RNAi and overexpression in oscillating human cells) revealed a crucial role of dynamic regulation (via rhythmic PPIs) for the molecular clockwork. Furthermore, dynamic modular organization as a pervasive circadian network feature likely contributes to time-of-day dependent control of many cellular processes. Global analysis of the proteome regarding circadian regulation of biological processes via rhythmic PPIs revealed time-of-day dependent organization of the human interactome. Circadian PPIs dynamically connect many important cellular processes like signal transduction and cell cycle, which contribute to temporal organization of cellular physiology.

La matrice extracellulaire (MEC) intervient dans de nombreux processus biologiques tels que la migration, la différentiation ou l’adhésion cellulaire. Elle est également associée à plusieurs évènements pathologiques. La cohésion de la MEC est assurée par un réseau organisé et complexe de protéines présent au voisinage immédiat des cellules. Ce projet a pour objectif de contribuer à la caractérisation structurale et fonctionnelle de certaines de ces complexes protéiques. Le Gelatin Binding Domain (GBD) (⁶FI¹²FII ⁷⁸⁹FI), localisé dans la région N-terminale de la fibronectine est connu pour interagir avec la transglutaminase 2 (TG2), le collagène de type I, ou encore des protéines d’adhésion bactériennes tel que la FNE (protéine de Streptococcus equi). Mes travaux de thèse portent donc sur la caractérisation fonctionnelle et structurale de ces interactions par des approches biophysiques et biochimiques. Ce travail a permis de cartographier les régions d’interactionentre la TG2 et le GBD d’une part et la FNE et le GBD d’autre part. Nous avons par la suite entrepris une étude par SAXS des complexes TG2/GBD et FNE/GBD et réussi à établir des modèles structuraux d’interaction entre (1) le GBD et le domaine N-terminal de la TG2 et (2) entre la FNE et le sous fragment ⁷⁸⁹FI du GBD. La structure tridimensionnelle de la protéine FNE a été résolue par cristallographie aux rayons X grâce à l’utilisation d’un outil original facilitant l’obtention de cristaux. / The extracellular matrix (ECM) is involved in a number of biological pathways associated with the cell migration, differentiation, adhesion and is also implicated in several pathological events. The cohesion of the ECM is accomplished by a highly organized protein complex network on the cell surface. The Gelatin Binding Domain (GBD) (⁶FI¹²FII ⁷⁸⁹FI) of the N-terminal region of fibronectin is found to interact with the transglutaminase 2 (TG2), collagen type I and the bacterial adhesion protein FNE. In this study, we conducted the structural and functional characterization of the protein complexes involved in the cohesion of ECM. The interactions between either TG2 or FNE and GBD have been characterized and the regions responsible for the interactions have also been mapped. Furthermore, we studied TG2/GBD and FNE/GBD complex by SAXS and built two models underscoring the interactions between (1), the GBD and the Nterminus of TG2 and (2), FNE and the sub-fragment ⁷⁸⁹FI of GBD providing insights on mechanistically elucidating the protein interactions during the cohehsion of ECM. The X-ray structure of the protein FNE of Streptococcus equi has been determined at 1.8 Å, by using an original tool that facilitates obtaining crystals.

Hao, Yan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (leaves 98-115). / Abstracts in English and Chinese. / Acknowledgement --- p.i / Abstract --- p.iii / 摘要 --- p.v / List of Abbreviations --- p.vii / List of Figures --- p.x / List of Tables --- p.xi / List of Primers --- p.xii / Publications arising from this study --- p.xiii / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Alzheimer's disease --- p.1 / Chapter 1.2 --- APP and its functions --- p.4 / Chapter 1.2.1 --- APP processing --- p.7 / Chapter 1.3 --- APPc-interacting proteins --- p.10 / Chapter 1.3.1 --- FE65 --- p.10 / Chapter 1.3.2 --- Xllα and Xl1β --- p.12 / Chapter 1.3.3 --- JIP-1 --- p.13 / Chapter 1.3.4 --- Dabl and Dab2 --- p.15 / Chapter 1.3.5 --- SNX17 --- p.15 / Chapter 1.3.6 --- Numb --- p.15 / Chapter 1.3.7 --- AIDA-1 --- p.16 / Chapter 1.4 --- Objectives of the project --- p.18 / Chapter 1.4.1 --- Engulfment adaptor protein 1 (GULP1) --- p.19 / Chapter 1.4.2 --- Specific aims of my study --- p.20 / Chapter Chapter 2 --- General Methodology --- p.22 / Chapter 2.1 --- Bacterial culture --- p.22 / Chapter 2.2 --- Mini-preparation/Midi-preparation of plasmid DNA --- p.22 / Chapter 2.3 --- Spectrophotometric analysis of DNA --- p.22 / Chapter 2.4 --- Agarose gel electrophoresis for DNA --- p.23 / Chapter 2.5 --- Preparation of competent E. coli --- p.23 / Chapter 2.6 --- Transformation of competent E. coli --- p.24 / Chapter 2.7 --- Molecular cloning --- p.24 / Chapter 2.7.1 --- Preparation of the cloning vector and insert --- p.25 / Chapter 2.7.2 --- Isolation of DNA from agarose gel --- p.25 / Chapter 2.7.3 --- DNA ligation and transformation --- p.25 / Chapter 2.7.4 --- Rapid screening for ligated plasmid --- p.26 / Chapter 2.8 --- Site-directed mutagenesis --- p.26 / Chapter 2.9 --- Cell culture and transfection --- p.27 / Chapter 2.10 --- Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS/PAGE) --- p.28 / Chapter 2.11 --- Western blotting --- p.29 / Chapter Chapter 3 --- Investigation of the GULP1-APP interaction and the effect of GULP1 on APP processing --- p.31 / Chapter 3.1 --- Introduction --- p.31 / Chapter 3.2 --- Materials and methods --- p.34 / Chapter 3.2.1 --- DNA constructs --- p.34 / Chapter 3.2.2 --- Antibodies --- p.34 / Chapter 3.2.3 --- GST pull-down assays --- p.35 / Chapter 3.2.4 --- Rat tissues preparation --- p.36 / Chapter 3.2.5 --- Immunostaining --- p.36 / Chapter 3.2.6 --- "siRNA knockdown of GULPl in CHO, HEK293 and SHSY5Y cells" --- p.37 / Chapter 3.2.7 --- Luciferase assays --- p.37 / Chapter 3.2.9 --- Tricine-SDS/PAGE analysis for APP CTFs --- p.38 / Chapter 3.2.9 --- Aβ enzyme-linked immunosorbent assay (ELISA) --- p.39 / Chapter 3.2.10 --- Statistical analysis --- p.40 / Chapter 3.3 --- Results --- p.40 / Chapter 3.3.1 --- GULP1 F145V mutant abandons the GULP1-APP interaction --- p.40 / Chapter 3.3.2 --- GULP1 and APP colocalize in neurons --- p.45 / Chapter 3.3.3 --- "siRNA mediated knockdown of GULPl in CHO, HEK293 and SHSY5Y cells" --- p.48 / Chapter 3.3.4 --- GULP1 enhances the cleavage of APP in APP-GAL4 cleavage system --- p.49 / Chapter 3.3.5 --- GULP1 alters APP processing by increasing the secretion of APP CTFs --- p.52 / Chapter 3.3.6 --- GULP1 stimulates Aβ secretion --- p.55 / Chapter 3.4 --- Discussion --- p.57 / Chapter Chapter 4 --- Identification and characterization of GULPl phosphorylation sites --- p.60 / Chapter 4.1 --- Introduction --- p.60 / Chapter 4.2 --- Materials and Methods --- p.60 / Chapter 4.2.1 --- DNA constructs --- p.61 / Chapter 4.2.2 --- Antibodies --- p.61 / Chapter 4.2.3 --- Expression and purification of GST fusion proteins --- p.61 / Chapter 4.2.4 --- In vitro phosphorylation of GULP1 by cdk5/p35 --- p.62 / Chapter 4.3 --- Results --- p.62 / Chapter 4.3.1 --- GULP1 Ser223 can be phosphorylated by cdk5/p35 in vivo --- p.62 / Chapter 4.3.2 --- The phosphorylation ofGULPl Thr35 completely abolished the GULP1-APP interaction --- p.67 / Chapter 4.4 --- Discussion --- p.70 / Chapter Chapter 5 --- Crystallization of the PTB domains of GULPl and GULP1t35d…… --- p.72 / Chapter 5.1 --- Introduction --- p.72 / Chapter 5.2 --- Materials and Methods --- p.72 / Chapter 5.2.1 --- DNA constructs --- p.72 / Chapter 5.2.2 --- Small-scale protein expression and purification --- p.73 / Chapter 5.2.3 --- Large-scale protein expression and purification --- p.73 / Chapter 5.2.4 --- Dynamic light scattering measurement --- p.76 / Chapter 5.2.5 --- Crystallization screening GULP1-PTB --- p.76 / Chapter 5.2.6 --- Optimization of GULP1-PTB crystals by grid screen --- p.76 / Chapter 5.2.7 --- Optimization of GULPl -PTB crystals by additive screen and detergent screen --- p.79 / Chapter 5.3 --- Results --- p.79 / Chapter 5.3.1 --- Large-scale expression and purification of GULP 1-PTB --- p.79 / Chapter 5.3.2 --- Small-scale expression and purification of GULP1T35d-PTB --- p.86 / Chapter 5.3.3 --- Crystallization screening and optimization --- p.88 / Chapter 5.4 --- Discussion --- p.91 / Chapter Chapter 6 --- Conclusion and future perspective --- p.94 / Chapter 6.1 --- Conclusion --- p.94 / Chapter 6.2 --- Future perspective --- p.95 / References --- p.98

<p>The ability to accurately predict binding free energies from computer simulations is an invaluable resource in understanding biochemical processes and drug action. Several methods based on microscopic molecular dynamics simulations exist, and in this thesis the validation, application, and development of the linear interaction energy (LIE) method is presented.</p><p>For a test case of several hydrophobic ligands binding to P450cam it is found that the LIE parameters do not change when simulations are performed with three different force fields. The nonpolar contribution to binding of these ligands is best reproduced with a constant offset and a previously determined scaling of the van der Waals interactions.</p><p>A new methodology for prediction of binding free energies of protein-protein complexes is investigated and found to give excellent agreement with experimental results. In order to reproduce the nonpolar contribution to binding, a different scaling of the van der Waals interactions is neccesary (compared to small ligand binding) and found to be, in part, due to an electrostatic preorganization effect not present when binding small ligands.</p><p>A new treatment of the electrostatic contribution to binding is also proposed. In this new scheme, the chemical makeup of the ligand determines the scaling of the electrostatic ligand interaction energies. These scaling factors are calibrated using the electrostatic contribution to hydration free energies and proposed to be applicable to ligand binding.</p><p>The issue of codon-anticodon recognition on the ribosome is adressed using LIE. The calculated binding free energies are in excellent agreement with experimental results, and further predict that the Leu2 anticodon stem loop is about 10 times more stable than the Ser stem loop in complex with a ribosome loaded with the Phe UUU codon. The simulations also support the previously suggested roles of A1492, A1493, and G530 in the codon-anticodon recognition process.</p>

Im Mittelpunkt dieser Arbeit standen Signaltransduktionsprozesse in den Strukturen der Kraftübertragung quergestreifter Muskelzellen, d. h. in den Costameren (Zell-Matrix-Kontakten) und den Glanzstreifen (Zell-Zell-Kontakten der Kardiomyozyten).<br><br>Es ließ sich zeigen, dass sich die Morphologie der Zell-Matrix-Kontakte während der Differenzierung von Skelettmuskelzellen dramatisch ändert, was mit einer veränderten Proteinzusammensetzung einhergeht. Immunfluoreszenz-Analysen von Skelettmuskelzellen verschiedener Differenzierungsstadien implizieren, dass die Signalwege, welche die Dynamik der Fokalkontakte in Nichtmuskelzellen bestimmen, nur für frühe Stadien der Muskeldifferenzierung Relevanz haben können. Ausgehend von diesem Befund wurde begonnen, noch unbekannte Signalwege zu identifizieren, welche die Ausbildung von Costameren kontrollieren: In den Vorläuferstrukturen der Costamere gelang es, eine transiente Interaktion der Proteine Paxillin und Ponsin zu identifizieren. Biochemische Untersuchungen legen nahe, dass Ponsin über eine Skelettmuskel-spezifische Insertion im Carboxyterminus das Adapterprotein Nck2 in diesen Komplex rekrutiert. Es wird vorgeschlagen, dass die drei Proteine einen ternären Signalkomplex bilden, der die Umbauvorgänge der Zell-Matrix-Kontakte kontrolliert und dessen Aktivität von mitogen activated protein kinases (MAPK) reguliert wird.<br><br>Die Anpassungsvorgänge der Strukturen der Kraftübertragung an pathologische Situtation (Kardiomyopathien) in der adulten quergestreiften Muskulatur wurden ausgehend von einem zweiten Protein, dem muscle LIM protein (MLP), untersucht. Es konnte gezeigt werden, dass ein mutiertes MLP-Protein, das im Menschen eine hypertrophe Kardiomyopathie (HCM) auslöst, strukturelle Defekte aufweist und weniger stabil ist. Weiterhin zeigte dieses mutierte Protein eine verringerte Bindungsfähigkeit an die beiden Liganden N-RAP und alpha-Actinin. Die molekulare Grundlage der HCM-verursachenden Mutationen im MLP-Gen könnte folglich eine Veränderung der Homöostase im ternären Komplex MLP &ndash; N-RAP &ndash; alpha-Actinin sein. Die Expressionsdaten eines neu generierten monoklonalen MLP-Antikörpers deuten darauf hin, dass die Funktionen des MLP nicht nur für die Integrität des Myokards, sondern auch für die der Skelettmuskulatur notwendig sind. / The cell-matrix-contacts (costameres) and cell-cell-contacts (intercalated discs of cardiomyocytes) of cross-striated muscle cells transmit mechanical forces to the exterior. On top of this mechanical function, both structures have been implied to be involved in signal transduction processes.<br><br>Dramatic morphological changes in the overall structure of cell-matrix-contacts of skeletal muscle cells were revealed during differentiation. Moreover, this reorganisation was accompanied by alterations in protein composition. Immunofluorescence microscopy indicated that signalling pathways which control the dynamics of focal contacts in non-muscle cells seem to be important only for early differentiation stages of skeletal muscle cells. To explore novel signalling pathways involved in regulating the formation of costameres, signalling molecules engaged were identified. Thus, paxillin and ponsin transiently interact at the precursors of costameres during muscle development. In addition, biochemical data indicate that a skeletal muscle specific module in the carboxyterminal part of ponsin can recruit the adapter protein Nck2 to this complex. Hence, the three proteins might form a ternary signalling complex involved in controlling the reorganisation of cell-matrix-contacts. Apparently, the activity of this signalling complex is regulated by mitogen activated protein kinases (MAPK).<br><br>A second approach has focussed on adaptational processes of the same structures observed in pathological situations. In particular, the role of muscle LIM protein (MLP) in hypertrophic cardiomyopathy (HCM) was investigated. It was shown that a HCM-causing mutant MLP protein fails to fold properly and that the consequent loss of stability is reflected in altered binding properties: the mutant MLP protein shows decreased binding to both N-RAP and alpha-actinin. Hence, the molecular basis for HCM-causing mutations in the MLP gene might be an altered homeostasis of the ternary complex MLP &ndash; N-RAP &ndash; alpha-actinin. Increasing evidence indicates that the functions of MLP are required not only for the integrity of the myocardium. In addition, MLP seems to have regulatory functions in skeletal muscle tissues.

The ability to accurately predict binding free energies from computer simulations is an invaluable resource in understanding biochemical processes and drug action. Several methods based on microscopic molecular dynamics simulations exist, and in this thesis the validation, application, and development of the linear interaction energy (LIE) method is presented. For a test case of several hydrophobic ligands binding to P450cam it is found that the LIE parameters do not change when simulations are performed with three different force fields. The nonpolar contribution to binding of these ligands is best reproduced with a constant offset and a previously determined scaling of the van der Waals interactions. A new methodology for prediction of binding free energies of protein-protein complexes is investigated and found to give excellent agreement with experimental results. In order to reproduce the nonpolar contribution to binding, a different scaling of the van der Waals interactions is neccesary (compared to small ligand binding) and found to be, in part, due to an electrostatic preorganization effect not present when binding small ligands. A new treatment of the electrostatic contribution to binding is also proposed. In this new scheme, the chemical makeup of the ligand determines the scaling of the electrostatic ligand interaction energies. These scaling factors are calibrated using the electrostatic contribution to hydration free energies and proposed to be applicable to ligand binding. The issue of codon-anticodon recognition on the ribosome is adressed using LIE. The calculated binding free energies are in excellent agreement with experimental results, and further predict that the Leu2 anticodon stem loop is about 10 times more stable than the Ser stem loop in complex with a ribosome loaded with the Phe UUU codon. The simulations also support the previously suggested roles of A1492, A1493, and G530 in the codon-anticodon recognition process.

In the present thesis we have explored different factors that impede accurate quantitative description of non-covalent protein-protein and protein-ligand interactions and design of new potent and specific binders from the scratch. Firstly, we addressed the role of solvent in the mechanism of non-covalent interactions. Secondly, we tackled the question about the intrinsic conformational flexibility of the protein molecules and the part it plays in weak interactions between proteins. In the first part of the thesis we studied the interactions of vascular endothelial growth factor (VEGF) protein with five cyclic peptides in solution and gas phase. The results showed that affinities of five ligands to VEGF in solution and gas phase are ranked in inversed order. That is, the that has the highest affinity in solution (as shown by chemical shift perturbation NMR and isothermal titration calorimetry) forms the weakest complex with VEGF in gas phase, and vice versa. We compared gas-phase and solution binding affinities of of five peptides and made qualitative conclusions about the role of the solvent in protein-ligand interactions. In order to obtain more quantitative information about the gas-phase behavior of non-covalent complexes we have developed a combined experimental/theoretical approach to study the energetics of collisional activation of the ion prior to dissociation. We applied developed strategy to model CID in traveling wave ion guide (TWIG) collision cell. We validated the model on the CID of leu-enkephalin peptide and then applied developed strategy to five non-covalent protein-peptide complexes and found activation energies of their dissociation reactions. Next we applied ESI native MS to study the allosteric interactions between the molecular chaperonin GroEL and ATP. The obtained data allowed to construct a scheme of conformational transition of GroEL upon binding of ATP and distinguish between two different cooperativity models, providing strong arguments in favor of Monod-Wyman-Changeux (MWC) model. Finally, be studied the backbone dynamics of VEGF with a combination of NMR relaxation and all-atom force-field based normal mode analysis (NMA). We showed that combination of experimental and computational approach allows to identify flexible zones with higher level of confidence. We also found out that residues, that are involved VEGF-receptor interactions, reside in or close to the flexible zones, suggesting the critical role conformational plasticity plays in the non-covalent protein-protein interactions. / Las biomoléculas de los organismos vivos realizan sus funciones principalmente a través de interacciones débiles reversibles entre ellas. La transducción de señal, la replicación de ADN/ARN, otros procesos enzimáticos y, virtualmente, cualquier otro proceso involucrado en las funciones vitales de cualquier organismo vivo (de las simples amebas, al complejo ser humano), requiere que las moléculas “hablen” entre ellas. Dicho lenguaje se basa en interacciones no covalentes. La flexibilidad conformacional es una propiedad esencial de las grandes biomoléculas, y muchas de las funciones desempeñadas por proteínas se basan en su capacidad para cambiar de conformación en respuesta a un factor externo. Geométricamente hablando, la presencia de flexibilidad en una proteína obstaculiza el diseño racional de medicamentos porque posibilita la existencia de un número muy elevado de conformaciones de dicha proteína. Por este motivo, cualquier información sobre la flexibilidad de una proteína es sumamente valiosa para la comprensión de PPI y PLI y para el diseño racional de medicamentos. Los capítulos 1-3 de la presente tesis versan sobre la solvatación, mientras que la flexibilidad se estudiara en el capitulo 4.