+ssRNA viruses after entering the cell develop platforms for RNA replication called replication organelles. Due to the activity of phosphatidylinositol 4-kinases is in these areas a higher concentration of PI4P, which establishes suitable binding environment for the viral polymerase 3DPOL . One of these kinases is PI4KB, which is recruited to the membrane by the ACBD3 protein, which is itself recruited by giantin. Some kobuviruses and enteroviruses from the Picornaviridae family use their 3A protein to displace ACBD3 protein from the complex with giantin and transfer it from Golgi aparathus to the replication organelles. Here, PI4KB binds to ACBD3 protein and synthesizes PI4P. Recently, two proteins - TBC1D22A and TBC1D22B - were discovered to bind to the same area of ACBD3 protein as PI4KB. The goal of this project was verification of this interaction and its subsequent characterization (e.g. dissociation constant measurements). My goal was to crystallize complexes of these interaction partners and to solve three-dimensional structure. Our results suggest, that interaction of ACBD3 protein with peptides derived from TBC1D22A and TBC1D22B proteins is much lower compared to interaction between ACBD3 protein and PI4KB. I successfully prepared crystals, however, they diffracted poorly, not allowing us to solve...

Chiu, Wai Yin Vivien. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 151-162). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts also in Chinese.

Leung Ka-Kit. / Thesis submitted in: November 2004. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 67-71). / Abstracts in English and Chinese. / Abstract / Chapter CHAPTER 1. --- INTRODUCTION --- p.1 / Chapter 1.1 --- Background of protein structures --- p.1 / Chapter 1.2 --- Background of protein-protein interaction (PPI) --- p.4 / Chapter 1.2.1 --- Quaternary structure and protein complex --- p.4 / Chapter 1.2.2 --- Previous related work --- p.4 / Chapter 1.2.3 --- The kinetic and thermodynamic formalism --- p.6 / Chapter CHAPTER 2. --- MATERIALS AND METHODS --- p.10 / Chapter 2.1 --- Amino acid composition representative power modeling --- p.10 / Chapter 2.1.1 --- Propensity level modeling --- p.10 / Chapter 2.1.2 --- Polar atoms visualization --- p.17 / Chapter 2.2 --- Rigid structure representative power modeling --- p.17 / Chapter 2.3 --- Electrostatic potential modeling --- p.17 / Chapter 2.3.1 --- Charge residence --- p.17 / Chapter 2.3.2 --- Minimum Ribbon (MR) --- p.19 / Chapter 2.4 --- Examination of interface --- p.23 / Chapter 2.5 --- Identification procedures of a binding site --- p.24 / Chapter 2.6 --- System requirements --- p.24 / Chapter CHAPTER 3. --- RESULTS AND DISCUSSIONS --- p.24 / Chapter 3.1 --- Polar atoms --- p.25 / Chapter 3.2 --- Minimum Ribbon (MR) --- p.27 / Chapter 3.3 --- "Charge complementarity, propensity level and rigid structure orientation" --- p.31 / Chapter 3.4 --- Identification of interacting site --- p.36 / Chapter CHAPTER 4. --- CONCLUSIONS --- p.64 / System requirements --- p.65 / Basic operation --- p.65 / Limitation --- p.66

Les interactions protéine-protéine (IPPs), complexes et dynamiques, sont le cœur des réseaux protéiques cellulaires. Au niveau des synapses excitatrices, la densité post-synaptique (PSD) est un exemple typique de réseau protéique dont la structure et la composition à l’échelle nanoscopique détermine la fonction cellulaire. Ainsi, la régulation dynamique de la composition de la PSD et des mouvements des récepteurs au glutamate dans ou hors de la PSD constitue la base des théories moléculaires actuelles sur l’apprentissage et la mémoire. Dans ce contexte, durant ma thèse, j’ai étudié une classe d’IPPs faisant intervenir les domaines PDZ. En effet, durant ces dernières années, de nombreuses études ont démontré l’implication de ces interactions impliquant les domaines PDZ de la famille de PSD95 dans le ciblage synaptique et l’ancrage des récepteurs au glutamate. Cependant, en partie dû au manque d’outils adaptés, les mécanismes moléculaires sous-jacents qui contrôlent de façon dynamique leur rétention à la synapse restent mal compris. Dans le but d’étudier ces interactions impliquant des domaines PDZ, j’ai développé plusieurs stratégies de sélection par phage display basées sur l’utilisation du dixième domaine de type III de la fibronectine humaine (10Fn3) dans le but de cibler les motifs d’interaction aux domaines PDZ des récepteurs (Stargazin pour les rAMPA et GluN2A pour les rNMDA) ou les domaines PDZ eux-mêmes. En utilisant une approche multidisciplinaire, mes objectifs principaux ont été de concevoir de petits anticorps synthétiques qui nous permettront de rompre ou de stabiliser spécifiquement ces complexes protéiques, ainsi que d’observer les interactions endogènes. / Complex and dynamic protein-protein interactions are the core of protein-based networks in cells. At excitatory synapses, the postsynaptic density (PSD) is a typical example of protein-based network whose nanoscale structure and composition determines the cellular function. For instance, the dynamic regulation of PSD composition and glutamate receptors movements into or out of the PSD are the base of current molecular theories of learning and memory. In this context, during my PhD, I focused on a class of protein-protein interactions mediated by PDZ domains. Indeed, over the last decade, numerous studies have shown the critical implication of PDZ domain-mediated interactions from the PSD95 scaffolding protein family in the synaptic targeting and anchoring of glutamate receptors. However, in part due to the lack of adapted tools, the molecular mechanisms that dynamically govern their respective synaptic retention remain poorly understood. In order to investigate these PDZ domain-mediated interactions, I developed several selection strategies by phage-display based on the fibronectin type III (FN3) scaffold in order to either target the PDZ domain-binding motifs of the receptors complexes (e.g., stargazin for AMPARs and GluN2A for NMDARs) or the PDZ domains themselves. Using a multidisciplinary approach, my main objectives were to engineer small synthetic antibodies that will allow us to acutely and specifically disrupt or stabilize these protein complexes, as well as monitor endogenous interactions.

Arenaviruses are enveloped negative-strand RNA viruses that cause significant human disease. Despite decades of research, it is still unclear how these viruses establish a lifelong, asymptomatic infection in their rodent hosts while infection of humans often results in severe disease. Unable to enter a state of bona fide latency, the transcription and replication of the viral genomic RNA is likely highly regulated in time and subcellular space. Moreover, we hypothesize that the viral nucleoprotein (NP), responsible for the encapsidation of the viral RNA and the most highly expressed viral gene product, plays a key role in the regulation of the viral gene expression program. Further, exploring host-virus interactions may elucidate the basic aspects of arenavirus biology and how they cause such severe disease in humans. To explore these questions in greater detail, this dissertation has pursued three main avenues. First, to better understand lymphocytic choriomeningitis mammarenavirus (LCMV) genome replication and transcription at the single-cell level, we established a high-throughput, single-molecule (sm)FISH image acquisition and analysis pipeline and followed viral RNA species from viral entry through the late stages of persistent infection in vitro. This work provided support for a cyclical model of persistence where individual cells are initially transiently infected, clear active infection, and become re-infected from neighboring reservoir cells within the population. Second, we used FISH to visualize viral genomic RNA to describe the subcellular sites where LCMV RNAs localize during infection. We observed that, viral RNA concentrates in large subcellular structures located near the cellular microtubule organizing center and colocalizes with the early endosomal marker Rab5c and the viral glycoprotein in a proportion of infected cells. We propose that the virus is using the surface of a cellular membrane bound organelle as a site for the pre-assembly of viral components including genomic RNA and viral glycoprotein prior to their transport to the plasma membrane where new particles will bud. Last, we used mass spectrometry to identify human proteins that interact with the NPs of LCMV and Junín mammareanavirus (JUNV) strain Candid #1. We provided a detailed map of the host machinery engaged by arenavirus NPs, and in particular, showed that NP associates with the double-stranded RNA (dsRNA)-activated protein kinase (PKR), a well-characterized antiviral protein that inhibits cap-dependent protein translation initiation via phosphorylation of eIF2α. We demonstrated that JUNV antagonizes the antiviral activity of PKR completely, effectively abrogating the antiviral activity of this surveillance pathway. In sum, the work composing this dissertation has given us fresh insight into how arenaviruses establish and maintain persistence; the nature of the subcellular site where viral genomic RNA is transcribed, replicated, and assembled with other viral components; and a global view of the cellular machinery hijacked by the viral nucleoprotein. This work improves our basic understanding of the arenavirus life cycle and may suggest novel antiviral therapeutic targets that could be exploited in the future.

With respect to a multienzyme complex of deoxyribonucleoside triphosphate (dNTP) synthesis somehow juxtaposed with DNA replication sites, our laboratory has demonstrated the existence of a multienzyme complex in T4-infected E. coli, named the T4 dNTP synthetase complex, but the idea of direct linkage of dNTP synthesis to DNA replication and organization of the complex has not been well established. This study had two objectives. The first objective was to test the specific hypothesis that gp32, the single-stranded DNA binding protein encoded by gene 32, plays a role in recruiting enzymes of dNTP synthesis to the replisome and in organizing the dNTP synthetase complex. By use of two newly created gene 32 mutants along with several experimental approaches, DNA-cellulose chromatography, coimmunoprecipitation, and glutathione-S-transferase pull downs, interactions of gp32 with thymidylate synthase (gptd), ribonucleotide reductase (gpnrdA/B), and E. coli NDP kinase have been identified. These results support the hypothesis that gp32 helps to recruit enzymes of dNTP synthesis to DNA replication sites. As the second objective, I investigated contributions of two host proteins, E. coli nueleoside diphosphate kinase (NDP kinase) and adenylate kinase (Adk), to the organization of the complex. As an important step to understand roles of E. coli NDP kinase in the complex, I identified direct interactions of E. coli NDP kinase with gpnrdA/B, dCMP hydroxymethylase (gp42), and dihydrofolate reductase (gpfrd) by means of coimmunoprecipitation and glutathione-S-transferase pull-down experiments. Interestingly, these interactions were influenced by the presence of substrate nucleotides or an analog for E. coli NDP kinase, suggesting that metabolite flux may affect the preference of E. coli NDP kinase binding to enzymes in the complex in vivo. Meanwhile, Adk involvement in DNA precursor synthesis has been suggested, particularly in phage T4-infected E. coli, from observations of increased thermostability of temperature-sensitive Adk in situ. The involvement of E. coil Adk in the complex was demonstrated by identifying some proteins of the T4 dNTP synthetase complexgp42, dNMP kinase (gpl), gpfrd, and E. coli NDP kinasedirectly interacting with Adk, implying that E. coil Adk would be properly located in the complex to efficiently carry out the conversion of dNDPs to dNTPs. This implication was supported by measurements of T4 DNA synthesis. Taken together, this research strongly supports the idea of connection of dNTP synthesis to DNA replication and allows us to take a step toward understanding the organization of the complex at DNA replication sites. / Graduation date: 2005

<p>To ameliorate Hepatitis C Virus (HCV) therapeutic and diagnostic challenges requires robust intervention strategies, including approaches that leverage the plethora of rich data published in biomedical literature to gain greater understanding of HCV pathobiological mechanisms. The multitudes of metadata originating from HCV clinical trials as well as low and high-throughput experiments embedded in text corpora can be mined as data sources for the implementation of HCV-specific resources. HCV-customized resources may support the generation of worthy and testable hypothesis and reveal potential research clues to augment the pursuit of efficient diagnostic biomarkers and therapeutic targets. This research thesis report the development of two freely available HCV-specific web-based resources: (i) Dragon Exploratory System on Hepatitis C Virus (DESHCV) accessible via http://apps.sanbi.ac.za/DESHCV/ or http://cbrc.kaust.edu.sa/deshcv/ and (ii) Hepatitis C Virus Protein Interaction Database (HCVpro) accessible via&nbsp / http://apps.sanbi.ac.za/hcvpro/ or http://cbrc.kaust.edu.sa/hcvpro/. DESHCV is a text mining system implemented using named concept recognition and cooccurrence based&nbsp / approaches to computationally analyze about 32, 000 HCV related abstracts obtained from PubMed. As part of DESHCV development, the pre-constructed dictionaries of the&nbsp / Dragon Exploratory System (DES) were enriched with HCV biomedical concepts, including HCV proteins, name variants and symbols to enable HCV knowledge specific&nbsp / exploration. The DESHCV query inputs consist of user-defined keywords, phrases and concepts. DESHCV is therefore an information extraction tool that enables users to&nbsp / computationally generate association between concepts and support the prediction of potential hypothesis with diagnostic and therapeutic relevance. Additionally, users can&nbsp / retrieve a list of abstracts containing tagged concepts that can be used to overcome the herculean task of manual biocuration. DESHCV has been used to simulate previously&nbsp / reported thalidomide-chronic hepatitis C hypothesis and also to model a potentially novel thalidomide-amantadine hypothesis. HCVpro is a relational knowledgebase dedicated to housing experimentally detected HCV-HCV and HCV-human protein interaction information obtained from other databases and curated from biomedical journal articles.&nbsp / Additionally, the database contains consolidated biological information consisting of hepatocellular carcinoma (HCC) related genes, comprehensive reviews on HCV biology and drug development, functional genomics and molecular biology data, and cross-referenced links to canonical pathways and other essential biomedical databases. Users can retrieve enriched information including interaction metadata from HCVpro by using protein identifiers, gene chromosomal locations, experiment types used in detecting the interactions, PubMed IDs of journal articles reporting the interactions, annotated protein interaction IDs from external databases, and via &ldquo / string searches&rdquo / . The utility of HCVpro&nbsp / has been demonstrated by harnessing integrated data to suggest putative baseline clues that seem to support current diagnostic exploratory efforts directed towards vimentin.&nbsp / Furthermore, eight genes comprising of ACLY, AZGP1, DDX3X, FGG, H19, SIAH1, SERPING1 and THBS1 have been recommended for possible investigation to evaluate their&nbsp / diagnostic potential. The data archived in HCVpro can be&nbsp / utilized to support protein-protein interaction network-based candidate HCC gene prioritization for possible validation by experimental biologists.&nbsp / </p>

ABSTRACT Protein-protein interactions play a central role in most biological processes. One such biological process is the maintenance of a reducing environment inside the cell. To maintain an internal reducing environment, living cells have evolved two enzymatic systems (glutathione and thioredoxin (Trx) systems). The Trx system is composed of the enzyme TrxR and its substrate Trx. The two proteins constitute an important thiol-dependent redox system that catalyzes the reduction of many proteins that are responsible for a variety of cellular functions. The system relies on transient protein-protein interactions between Trx and TrxR for its function. Cross-reactivity of components of the Trx system between species has been shown to be medically relevant. For example, Helicobacter pylori Trx (HP Trx) is thought to mediate catalytic reduction of human immunoglobulins and thus facilitate immune evasion. It has also been proposed that Helicobacter pylori gains access to the impenetrable gastric mucous layer by using secreted HP Trx to reduce the disulfide bonds present in the cysteine-rich mucin regions that are responsible for cross-linking mucin monomers. Therefore, disruption of secreted HP Trx-host protein interaction may result in restoration of the viscoelastic and hydrophobic protective properties of mucus. Previous studies aimed at understanding the nature of cross-reactivity of Trx system components among various species have shown that Trxs have higher affinity for cognate TrxRs (same species), than for TrxRs from different species. However, the basis for this specificity is not known. A growing body of evidence suggests that most protein-protein interactions are mediated by a small number of protein-protein interface residues, referred to as hot spot residues or binding epitopes. Therefore, understanding the biochemical basis of the affinity of proteins for their partners usually begins by identifying the hot spot residues responsible for the protein complex interactions. In this study, the crystal structures of Deinococcus radiodurans thioredoxin reductase (DR TrxR) and Helicobacter pylori TrxR (HP TrxR) were determined at 1.9 Å and 2.4 Å respectively. Analysis of the Trx-binding sites of both structures suggests that the basis of affinity and specificity of Trx for TrxR is primarily due to the shape rather than the charge of the surface. In addition, the complex between Escherichia coli thioredoxin reductase (EC TrxR) and its substrate thioredoxin (EC Trx) was used to identify residues that are responsible for TrxR-Trx interface stability. Using computational alanine scanning mutagenesis and visual inspection of the EC TrxR-Trx interface, 22 EC TrxR side chains were shown to make contact across the TrxR-Trx interface. Although more than 20 EC TrxR side chains make contact across the TrxR-Trx interface, our results suggest that only 4 residues (F81, R130, F141, and F142) account for the majority of the EC TrxR-Trx interface stability. Individual replacement of equivalent DR TrxR residues (M84, K137, F148, F149) with alanine resulted in drastic changes in binding affinity, confirming that the four residues account for most of TrxR-Trx interface stability. These hot spot residues are surrounded by less important residues (hydrophobic and hydrophilic) that are also predicted to contribute to interface stability. F148 and F149 are invariant across bacterial TrxRs, however other residues that contact Trx are less conserved including M84 and K137. When M84 and K137 were changed to match equivalent E. coli TrxR residues (K137R, M84F); D. radiodurans TrxR substrate specificity was altered from its own Trx to that of E. coli Trx. The results suggest that a small subset of the TrxR-Trx interface residues are responsible for the majority of Trx binding affinity and specificity, a property that has been shown to general to protein-protein interfaces.

ABSTRACT Protein-protein interactions play a central role in most biological processes. One such biological process is the maintenance of a reducing environment inside the cell. To maintain an internal reducing environment, living cells have evolved two enzymatic systems (glutathione and thioredoxin (Trx) systems). The Trx system is composed of the enzyme TrxR and its substrate Trx. The two proteins constitute an important thiol-dependent redox system that catalyzes the reduction of many proteins that are responsible for a variety of cellular functions. The system relies on transient protein-protein interactions between Trx and TrxR for its function. Cross-reactivity of components of the Trx system between species has been shown to be medically relevant. For example, Helicobacter pylori Trx (HP Trx) is thought to mediate catalytic reduction of human immunoglobulins and thus facilitate immune evasion. It has also been proposed that Helicobacter pylori gains access to the impenetrable gastric mucous layer by using secreted HP Trx to reduce the disulfide bonds present in the cysteine-rich mucin regions that are responsible for cross-linking mucin monomers. Therefore, disruption of secreted HP Trx-host protein interaction may result in restoration of the viscoelastic and hydrophobic protective properties of mucus. Previous studies aimed at understanding the nature of cross-reactivity of Trx system components among various species have shown that Trxs have higher affinity for cognate TrxRs (same species), than for TrxRs from different species. However, the basis for this specificity is not known. A growing body of evidence suggests that most protein-protein interactions are mediated by a small number of protein-protein interface residues, referred to as hot spot residues or binding epitopes. Therefore, understanding the biochemical basis of the affinity of proteins for their partners usually begins by identifying the hot spot residues responsible for the protein complex interactions. In this study, the crystal structures of Deinococcus radiodurans thioredoxin reductase (DR TrxR) and Helicobacter pylori TrxR (HP TrxR) were determined at 1.9 Å and 2.4 Å respectively. Analysis of the Trx-binding sites of both structures suggests that the basis of affinity and specificity of Trx for TrxR is primarily due to the shape rather than the charge of the surface. In addition, the complex between Escherichia coli thioredoxin reductase (EC TrxR) and its substrate thioredoxin (EC Trx) was used to identify residues that are responsible for TrxR-Trx interface stability. Using computational alanine scanning mutagenesis and visual inspection of the EC TrxR-Trx interface, 22 EC TrxR side chains were shown to make contact across the TrxR-Trx interface. Although more than 20 EC TrxR side chains make contact across the TrxR-Trx interface, our results suggest that only 4 residues (F81, R130, F141, and F142) account for the majority of the EC TrxR-Trx interface stability. Individual replacement of equivalent DR TrxR residues (M84, K137, F148, F149) with alanine resulted in drastic changes in binding affinity, confirming that the four residues account for most of TrxR-Trx interface stability. These hot spot residues are surrounded by less important residues (hydrophobic and hydrophilic) that are also predicted to contribute to interface stability. F148 and F149 are invariant across bacterial TrxRs, however other residues that contact Trx are less conserved including M84 and K137. When M84 and K137 were changed to match equivalent E. coli TrxR residues (K137R, M84F); D. radiodurans TrxR substrate specificity was altered from its own Trx to that of E. coli Trx. The results suggest that a small subset of the TrxR-Trx interface residues are responsible for the majority of Trx binding affinity and specificity, a property that has been shown to general to protein-protein interfaces.

This research project presents a comprehensive functional analysis of a complex prokaryotic signal transduction system and the mechanisms underlying its evolution. The chemotaxis system regulates motility in prokaryotes and is their most complex signal transduction system. The system has been extensively characterized experimentally, but recent studies have created new questions about the function and origin of this system. Comparative genomics analyses are well-suited for studying the chemotaxis system since it is present in taxonomically diverse organisms. The first aim of this project is to understand the evolutionary history of the chemotaxis system that has resulted in the diversity of chemotaxis systems that have been experimentally. The results reveal three functional families of chemotaxis systems that regulate flagellar motility, type IV pili motility, and non-motility outputs. The flagellar family shows extensive diversity with 10 conserved classes that have variable accessory proteins, and these classes show a co-evolutionary relationship with flagella. The second aim of this project is to analyze the molecular evolution of chemotaxis system components and utilize that information to predict the contact sites involved in protein-protein interactions. The analysis supports that there is evolutionary pressure at the amino acid sequence level to maintain protein-protein interactions. From this observation, a method to predict the contact sites of protein-protein interactions from sequence information alone was developed and validated by experimental and structural information.