Proteins are the functional units of cells. However, a major portion of the proteome does not have a known functional annotation. This dissertation explores protein -protein interactions, involving these uncharacterized or unknown function proteins. Initially, protein – protein interactions were tested and analyzed for paralogous proteins in Escherichia coli. To expand this concept further and to get an overview, protein – protein interactions were analyzed using ‘comparative interactomics’ for four pathogenic bacterial species including Escherichia coli, Yersinia pestis, Vibrio cholerae and Staphylococcus aureus. This approach was used to study unknown function protein pairs as well as to focus on uncharacterized hub proteins. The dissertation aims at using protein – protein interactions along with other research data about proteins as a possible approach to narrow down on functions of proteins.

Protein – Protein interactions (PPIs) are thought to be conserved between species, although this has not been systematically investigated. This problem was explored in Escherichia coli from experimental data in Treponema pallidum by predicting PPIs, focusing on protein domains of little or unknown function. The comparison of T. pallidum to a model organism such as E. coli can not only reveal additional data about T. pallidum but also reveals how E. coli is similar to this distantly related, obligate parasite. A set of novel T. pallidum interactions, enriched for proteins of unknown function, were the basis of over 23,000 predicted homologous E. coli protein-protein and domain-domain interactions. Utilizing computational methods of protein analysis to define identity cross-species comparisons, this work shows that T. pallidum is nearly 61% similar to E. coli by orthologous groups (OG), demonstrating that what we knew of T. pallidum can be applied to E. coli. Observed binary interactions of that same pool of OGs result in only 4.3% shared T. pallidum interactions. Assigning function to proteins of unknown function leads to a greater understanding of how individual proteins relate to the larger interactome, the whole of interactions within a cell.

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Arf1 est une petite protéine G (pG), essentiellement impliquée dans le trafic vésiculaire. Arf1 oscille entre deux conformations, l'une active liée au GTP et l'autre inactive associée au GDP. Arno est un des facteurs d'échange (GEF) capable d'activer Arf1 en stimulant l'échange GDP/GTP. Suractivée dans les cellules invasives du cancer du sein, Arf1 joue un rôle important dans la migration et la prolifération des cellules cancéreuses.Le but de ma thèse s'inscrit dans l'étude et la modulation de l'interaction pG-GEF, et plus spécifiquement, le couple Arf1-Arno. Mon travail a été planifié autour de deux axes: (1) L'étude fine de l'interaction entre Arf1 et Arno, et sa modulation avec un inhibiteur connu la Bréféldine A (BFA). (2) La mise en place d'une stratégie de conception d'inhibiteurs de l'interaction protéine-protéine du couple Arf1-Arno.Dans un premier temps, nous avons mis en place une méthode basée sur la résonance plasmonique de surface (SPR) permettant la détermination des paramètres cinétiques de l'interaction entre Arf1 et Arno. Nous avons précisé aussi les conséquences des partenaires allostériques (GDP, GTP, et Mg2+) et de la BFA sur les paramètres cinétiques de l'interaction. Ceci a permis une analyse fine de la régulation allostérique et du mode d'action de la BFA. Appliquée à d'autres inhibiteurs, cette méthode permettra d'examiner leur mécanisme d'inhibition.Dans la deuxième partie j'expose, la stratégie que nous avons utilisé pour la conception rationnelle d'inhibiteur de l'interaction entre Arf1 et Arno. Elle est basée sur le criblage virtuel de fragments au niveau des résidus clé « hotspots » de l'interaction, la validation des molécules-touches par des techniques biophysiques, et l'élimination de molécules artefacts. Les structures des complexes fragments-Arno ont été résolues, ce qui confirme la validité de cette stratégie ouvrant la voie vers l'optimisation moléculaire pour obtenir des inhibiteurs plus efficaces. / Arf1 is a small GTPases, essentially involved in the vesicular traffic. Arf1 switch between two conformations, an active form bound to GTP and an inactive form bound to GDP. Arno is one of the exchange factors (GEF) that can activate Arf1, through its catalytic Sec7 domain, promoting the exchange of GDP by GTP. Activated in breast cancer cells, Arf1 plays an important role in the migration and proliferation of cancer cells.The aim of my thesis was the study and the modulation of the interaction between small G proteins and their GEFs, more precisely the Arf1-Arno interaction. My work has been planned around two axes: (1) the study of the interaction between Arf1 and Arno, and its modulation with a known inhibitor Brefeldin A (BFA). (2) The development of a rational strategy for designing inhibitors of protein-protein interaction for the Arf1-Arno complex.In the first part of my PhD work, we set up a Surface Plasmon Resonance (SPR) method allowing to determine the kinetic parameters of the interaction between Arf1 and Arno. We also studied the effects of allosteric partners such as GDP, GTP and Mg2+ as well as the known uncompetitive inhibitor (Brefeldin A). This SPR approach allowed a very informative analysis at qualitative and quantitative levels of the various complexes taking place during the exchange reaction that should help to solve the inhibitory mechanism for the known inhibitors reported in the literature. In the second part of my thesis, we propose a strategy for targeting the interaction between Arf1and Arno. This approach is based on virtual screening of fragments at hotspot regions. Using biophysical techniques such fluorescence techniques, SPR, NMR and X-Ray crystallography, we identified and validated Hits, showing by crystallographic structural data their modes of interaction with the target protein Arno. A fluorescence polarization test was also developed to identify false positive fragments to eliminate promiscuous aggregators. Taken together, our work proposes a method based on SPR allowing the study of known inhibitors of GEFs, understanding at molecular level their mode of action. We also propose a general strategy for finding Hit fragments that designing competitive inhibitor of the interaction small G protein with its GEFs, that can be the scaffold for designing more powerful inhibitors.

Mouse polyomavirus (MPyV) is small non-enveloped DNA virus. Although this virus has been studied for almost 60 years, it still remains unclear, how can virus transport its genetic information to the cell nucleus. Also, the mechanism of virion morphogenesis is not well understood. First part of this work is focused on endocytic pathway which is used by MPyV for trafficking toward the cell nucleus. Using dominant negative mutant of caveolin-1 we showed that caveolin-1dependent endocytic pathway, described for SV40, is not used by MPyV for productive infection. MPyV is transported to early endosomes. Acidic milieu of endosomes is indispensable for productive infection. Preventing virus localisation into early endosomes (dominant negative mutant of Rab 5 GTPase) or endosomes alkalisation (by ammonium chloride or bafilomycin A1) led to dramatic decrease of virus infectivity. Alkalisation of endosomes entailed retention of MPyV in early endosomes. It indicates that virus is further transported to late endosomes. Finally, we confirmed by FRET that MPyV is in perinuclear space localized into recycling endosomes. Another poor characterized process is virion morphogenesis. To characterize the participation of cellular proteins in virion precursor complexes, nuclear as well as whole-cell lysates of infected cells or...

Mass spectrometry (MS) is a rapid, specific and very sensitive analytical method with a broad spectrum of proteomic applications such as protein identification and sequencing, 3D protein structure characterization or study of protein-protein interaction. The introduction of two ionization techniques in late 1980's that are able to ionize the large biomolecules such as proteins, oligosaccharides or nucleic acids with no or low fragmentation has started the rapidly expanding field of MS-based proteomics. The presented thesis was aimed at the application of mass spectrometric approaches to answer several proteomic questions. Firstly we have employed the chemical cross-linking in combination with MS analysis to solve the 3D structure and protein-protein interactions of three model systems: (1) homodimeric human regulatory protein 14-3-3, (2) model of 14-3-3 and regulatory domain of tyrosine hydroxylase, and (3) system of two membrane proteins, cytochrome P450 2B4 and cytochrome b5, involved in xenobiotics biotransformation. This approach works in aqueous solutions under physiological conditions and thus preserves native structure of the investigated proteins. The second part of the thesis was focused on MS identification of proteins/peptides in fungal spores of Aspergillus and Pseudallescheria...

This thesis provides a physics account of the ability of cells to integrate environmental information to make complex decisions, a process commonly known as signaling. It strives to address the following questions: (i) How do cells relate the state of the environment (e.g. presence/absence of specific molecules) to a desired response such as gene expression? (ii) How can cells robustly transfer information? (iii) Is there a biophysical limit to a cells' ability to process information? (iv) Can we use the answers to the above questions to formulate biophysical principles that inform us about the evolution of signaling? Throughout, I borrow techniques from non-equilibrium statistical physics, statistical learning theory, information theory and information geometry to construct biophysical models capable of making quantitative experimental predictions. Finally, I address the connection of energy expenditure and biological efficiency by zeroing in on a process unique to eukaryotic cells-- nuclear transport. The thesis concludes with a discussion of our theory and its implications for synthetic biology.

Le développement des anticorps thérapeutiques s'est rapidement accéléré dans les 10 dernières années et concerne un nombre croissant de pathologies. La connaissance de l'épitope, à savoir la région de la cible à laquelle l'anticorps se fixe, est essentielle pour la compréhension des effets fonctionnels de ce dernier. Nous avons développé une méthode in silico, MAbTope, qui permet une prédiction précise de cet épitope, quand bien même aucune structure 3D de l'anticorps d’intérêt n'est résolue. Cette méthode se base sur une méthode d'amarrage protéine-protéine développée auparavant dans l’équipe BIOS. Le jeu d'apprentissage a été fortement enrichi en complexes anticorps-cibles, de nouvelles fonctions de score spécifiques ont été mises au point, et le plus important, l'objectif de l'apprentissage-machine a été modifié pour optimiser non plus la conformation de !'assemblage, mais la prédiction de l'épitope. Nous montrons que la méthode qui en résulte permet une prédiction précise et robuste de l'épitope, que la structure 3D de l'anticorps soit connue ou non. Nous montrons également comment les prédictions peuvent être facilement exploitées pour la validation expérimentale. Enfin, nous montrons comment la méthode peut être utilisée pour étudier à haut-débit le recouvrement d'épitopes par des anticorps ayant la même cible. / The development of therapeutic antibodies has been rapidly increasing in the last 10 years, with application to an increasing number of pathologies. The knowledge of the epitope, the region of the antigen to which the antibody binds, is crucial for understanding its functional effects. We have developed an in silico method, MAbTope, which allows the accurate prediction of the epitope, regardless of the availability of the 3D structure of the antibody of interest. This method is based on a protein-protein docking method previously developed in the BIOS group. The learning dataset was enlarged in antibody-antigen complexes, new specific scoring functions have been designed, and very importantly, the objective of machine-learning was switched from the conformational perspective towards the epitope determination perspective. We show that the resulting method allows robust and accurate prediction, whether or not the 3D structure of the antibody is available. We also show how the predictions can be easily exploited for experimental validation. Finally, we show how this method can be used for high-throughput epitope binning.

A existência de uma maior variedade de aminoácidos codificados pelo código genético tem estimado estudos sobre os mecanismos de síntese, reconhecimento e incorporação desses resíduos nas cadeias polipeptídicas nascentes. Um exemplo é a via de incorporação de selenocisteína evento cotraducional dirigido pelo códon UGA. Em bactérias, essa via conta com uma complexa maquinaria molecular composta por: Selenocisteína Sintase (SelA), Fator de Elongação Específico de Reconhecimento (SelB), Selenofosfato Sintetase (SelD), tRNA específico (SelC ou tRNAsec), sequência específica no mRNA (Sequência de Inserção de Selenocisteínas - SECIS) e Aminoacil tRNA Sintetase (aaRS). Pelo fato do selênio ter uma toxicidade elevada em ambientes celulares, é fundamental a compreensão do mecanismo catalítico e razão estequiométrica na formação dos complexos da via na etapa de incorporação junto ao tRNAsec, bem como sua caracterização estrutural foram os objetivos deste trabalho. A proteína SelA foi expressa e purificada para utilização em análises envolvendo microscopia de força atômica, microscopia eletrônica de transmissão com contraste negativo e em gelo vítreo foram realizadas nos complexos SelA e SelA-tRNAsec, visando obter um modelo estrutural e a razão estequiométrica dos complexos. A fim de compreender o mecanismo de passagem do selênio, ensaios de anisotropia de fluorescência e de microcalorimetria, corroborados pelas análises de troca de hidrogênio-deutério acoplado a espectrometria de massa e espectroscopia de infravermelho, elucidaram a formação e estequiometria do complexo ternário SelAtRNA sec-SelD. Tentativas de cristalização e análises cristalográficas também foram realizadas, no entanto, sem sucesso. Com os resultados obtidos foi possível propor que o reconhecimento de SelD e, consequentemente, a entrega do selenofosfato, seja uma etapa crucial da via de incorporação de selenocisteínas. / The existence of a greate variety of amino acids encoded by the genetic code has stimulated the study of the mechanisms of synthesis, recognition and incorporation of these residues in the nascent polypeptide chains. An example of genetic code expansion is the selenocysteine incorporation pathway an event cotraducional by the UGA codon. In bacteria, this pathway has a complex molecular machinery comprised: Selenocysteine Synthase (SelA), Specific Elongation Factor (SelB), Selenophosphate Synthetase (SelD), tRNA-specific (SelC or tRNAsec), Specific mRNA Sequence (SElenocysteine Insertion Sequence - SECIS) and Aminoacyl tRNA Synthetase (aaRS). Because selenium has high toxicity in cellular environments; it is essential for cell survival the association of this compound with proteins, in this case, selenoprotens and the associated proteins involved in the selenocysteine synthesis. Therfore the understanding of the catalytic mechanism, stoichiometric ratio, protein complex formation with the tRNAsec, and its structural characterization were the objectives of this work. The SelA protein was expressed and purified to used in analyzes involving atomic force microscopy, transmission electron microscopy with negative stain and in vitreous ice were performed in the complex SelA and SelA-tRNAsec in order to obtain a structural model of the complex and the stoichiometric ratio of its components. To study the selenium association with protein of the synthesis pathway, fluorescence anisotropy assays and isothermal titration calorimetry corroborated by the analysis hydrogen-deuterium exchange coupled to mass spectrometry and infrared spectroscopy were employed.Crystallization attempts were made and preliminary crystallographic analyzes were also performed, however, so far unsuccessfuly. The results obtained were possible to develop the hypothesis about the SelD recognition and, consenquently, the selenophosphate delivery, a crucial stage of the selenocysteine incorporation pathway.

As septinas compõem o quarto componente do citoesqueleto das células eucarióticas, atrás da actina, miosina e filamentos intermediários. São proteínas filamentosas que se arranjam em forma de fibras e anéis, desempenhando um papel estrutural na célula. Os seres humanos expressam 13 septinas, que são divididas em 4 grupos diferentes de acordo com sua estrutura primária: grupo I (SEPT3, SEPT9, SEPT12); grupo II (SEPT6, SEPT8, SEPT10, SEPT11, SEPT14); grupo III (SEPT1, SEPT2, SEPT4, SEPT5) e grupo IV (SEPT7), sendo que SEPT13 foi caracterizada como um pseudogene de SEPT7. O filamento fisiológico mais bem estudado é composto por SEPT2-SEPT6-SEPT7-SEPT9 (nesta exata sequência), e é usado como a base para a descrição da formação canônica, onde se acredita que septinas do mesmo grupo ocupam o mesmo lugar no filamento. Entretanto, ensaios de duplo-híbrido identificaram muitas interações não canônicas inesperadas entre septinas como SEPT9-SEPT6 e SEPT9-SEPT8, sugerindo estes também possam existir in vivo. Além destes, estudos mostraram a existência de interações entre septinas do grupo I e grupo II, e especialmente no caso SEPT11-SEPT12, a interação deixa de existir ao inserir uma mutação sítio-dirigida na interface G destas proteínas. O presente trabalho investiga a interação entre SEPT3, uma septina do grupo I, com todas aquelas do grupo II. Esta interação foi estudada por análises de coexpressão e copurificação em resina de afinidade ao cobalto, onde apenas a SEPT3 possuía uma extensão de seis histidinas em seu N-terminal. Esta primeira análise mostrou que SEPT3 não foi copurificada com todos os membros do grupo II dando uma clara evidência de variação de afinidade dentro do grupo. Usando esta abordagem, SEPT6, SEPT10 e SEPT14 não mostraram interação com SEPT3, enquanto SEPT8 e SEPT11 copurificaram com SEPT3, mas não em concentrações estequiométricas. Para os complexos SEPT3-SEPT8 e SEPT3-SEPT11, uma segunda etapa de purificação foi realizada por meio de cromatografia de exclusão molecular, onde um pico de grande variância em relação à média indicou um valor de massa molecular entre monômeros e dímeros. Os mesmos, quando avaliados por espalhamento de luz a múltiplos ângulos mostraram variação na massa molecular ao longo do pico de eluição conforme ele era eluído. Tal variação era compatível com a eluição de dímeros no início até monômeros no final. Os estudos da interação entre SEPT3-SEPT8 por ultracentrifugação analítica indicou uma tendência de associação em altas concentrações das proteínas, compatível com a constante de dissociação determinada por termoforese em microescala, na ordem de dezenas de micromolar. Tais resultados levantaram questões acerca da relevância fisiológica destes complexos e reforçam a importância de um estudo mais aprofundado na formação dos complexos não canônicos de septinas para o desenvolvimento celular. / The septins are accepted to be the fourth cytoskeleton component of the eukaryotic cells, after actin, myosin and intermediate filaments. They are filament forming proteins that are organized in fibers and rings, having a structural role in the cell. Humans express 13 septins, which are divided into 4 different groups according to their primary structure: group I (SEPT3, SEPT9, SEPT12); group II (SEPT6, SEPT8, SEPT10, SEPT11, SEPT14); group III (SEPT1, SEPT2, SEPT4, SEPT5) e group IV (SEPT7). SEPT13 was later characterized as a SEPT7 pseudogene. The best characterized filament is built up from SEPT2-SEPT6-SEPT7-SEPT9 (in this exact sequence), and is used as a basis for the description of the so-called canonical arrangement, which accepts that septins from the same group can occupy the same position within the filament. However yeast two-hybrid assays identified several unexpected interactions such as SEPT9-SEPT6 and SEPT9-SEPT8, raising the possibility that these could also exist in vivo. Furthermore, studies have shown the existence of interactions between group I and group II, and especially in the SEPT11-SEPT12, the interaction dissolves when a mutation in the G interface is inserted. The present work investigates the interaction between SEPT3, a group I septin, with all of those from group II. This interaction was studied through co-expression and co-purification methods using metal affinity chromatography, where only the SEPT3 contained the six histidines extention. This initial analysis showed that SEPT3 did not co-purify with all group II members, clearly pointing to variability in the affinity within group. Using this approach SEPT6, SEPT10 e SEPT14 showed no interaction with SEPT3, whilst SEPT8 and SEPT11 co-purified with SEPT3, but not in stoichiometric concentrations. For the SEPT3-SEPT8 and SEPT3-SEPT11 complexes, a second purification stage was performed using size exclusion chromatography, where a broad peak was observed corresponding to a molecular mass value which was intermediate between a dimer and a monomer. The same complexes, when evaluated by multiple angle light scattering revealed a variation in the molecular mass across the peak as it eluted. Such variation was compatible with elution of dimers at the beginning and monomers at the end. Studies for the SEPT3-SEPT8 interaction via analytical ultracentrifugation suggested a trend to associate in high protein concentration, consistent with the dissociation constant found by microscale thermophoresis, which was of the order of ten micromolar. The results raise questions concerning the physiological relevance of these complexes and reinforce the importance of further studies on the non-canonical assembly of septin complexes for cellular development.