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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
31

Structure and dynamics of intrinsically disordered regions of MAPK signalling proteins / Structure et dynamique des régions intrinsèquement désordonnées des MAPK

Kragelj, Jaka 11 December 2014 (has links)
Les voies de transduction du signal cellulaire permettent aux cellules de répondre aux signaux de l'environnement et de les traiter. Les voies de transduction de kinases MAP (MAPK) sont bien conservées dans toutes les cellules eucaryotes et sont impliquées dans la régulation de nombreux processus cellulaires importants. Les régions intrinsèquement désordonnées (RID), présentes dans de nombreuses MAPK, n'étaient pas encore structurellement caractérisées. Les RID de MAPK sont particulièrement importantes car elles contiennent des motifs de liaison qui contrôlent les interactions entre les protéines MAPK elles-mêmes et aussi entre les protéines MAPK et d'autres protéines contenant les mêmes motifs. La résonance magnétique nucléaire (RMN) en combinaison avec d'autres techniques biophysiques a été utilisée pour étudier les RID de kinase des voies de transduction du signal MAPK. La spectroscopie RMN est bien adaptée pour l'étude des protéines intrinsèquement désordonnées à l'échelle atomique. Les déplacements chimiques et couplages dipolaires résiduels peuvent être utilisés conjointement avec des méthodes de sélection d'ensemble pour étudier la structure résiduelle dans les RID. La relaxation de spin nucléaire nous renseigne sur les mouvements rapides. Des titrations par RMN et des techniques de spectroscopie d'échange peuvent être utilisées pour surveiller la cinétique d'interactions protéine-protéine. Cette étude contribuera à la compréhension du rôle des RID dans les voies de transduction du signal cellulaire. / Protein signal transduction pathways allow cells respond to and process signals from the environment. A group of such pathways, called mitogen-activated protein kinase (MAPK) signal transduction pathways, is well conserved in all eukaryotic cells and is involved in regulating many important cell processes. Long intrinsically disordered region (IDRs), present in many MAPKs, have remained structurally uncharacterised. The IDRs of MAPKs are especially important as they contain docking-site motifs which control the interactions between MAPK proteins themselves and also between MAPKs and other interacting proteins containing the same motifs. Nuclear magnetic resonance (NMR) spectroscopy in combination with other biophysical techniques was used to study IDRs of MAPKs. NMR spectroscopy is well suited for studying intrinsically disordered proteins (IDPs) at atomic-level resolution. NMR observables, such as for example chemical shifts and residual dipolar couplings, can be used together with ensemble selection methods to study residual structure in IDRs. Nuclear spin relaxation informs us about fast pico-nanosecond motions. NMR titrations and exchange spectroscopy techniques can be used to monitor kinetics of protein-protein interactions. The mechanistic insight into function of IDRs and motifs will contribute to understanding of how signal transduction pathways work.
32

Intrinsically disordered proteins in Chlamydomonas reinhardtii / Protéines intrinsèquement désordonnées chez Chlamydomonas reinhardtii

Zhang, Yizhi 20 September 2018 (has links)
Les objectifs de cette thèse étaient d'apporter une percée conceptuelle pour une compréhension en profondeur des mécanismes moléculaires des protéines intrinsèquement désordonnées (IDPs) et de leurs rôles dans la physiologie cellulaire de Chlamydomonas reinhardtii. La combinaison d’approches expérimentale et bioinformatique m’a permis d’identifier 682 protéines thermorésistantes chez C. reinhardtii. Parmi celles-ci, 299 protéines sont systématiquement prédites comme potentielles IDP par quatre algorithmes de prédiction de désordre. Nos résultats indiquent que le pourcentage désordonné moyen de ces protéines prédites comme étant des IDPs est d'environ 20%, et la plupart d'entre elles (~70%) sont adressées à d'autres compartiments que la mitochondrie et le chloroplaste. Leur composition en acides aminés est biaisée par rapport à d'autres IDPs de la base de données de protéines désordonnées (DisProt). Ces IDPs potentielles jouent des fonctions moléculaires diverses, et 54% d'entre elles sont des cibles de phosphorylation.Notre travail a également augmenté l’état des connaissances sur l'adénylate kinase 3 (ADK3), une enzyme contenant une région intrinsèquement désordonnée (IDR). Cette enzyme a été isolée par notre approche globale pour caractériser les IDPs de l’algue verte. L’extension C-terminale désordonnée (CTE) de cette enzyme lui confère de nouvelles fonctions comme par exemple, la formation d’un complexe bi-enzymatique avec la glycéraldéhyde-3-phosphate déshydrogénase (GAPDH), la régulation (négative) de l'activité GAPDH avec le NADPH comme cofacteur, et le rôle de chaperon pour la GAPDH en la protégeant de la dénaturation par traitement thermique et de l’agrégation. / The objectives of this work were to bring a conceptual breakthrough for an in-depth understanding of the molecular mechanisms of intrinsically disordered proteins (IDPs) and their roles in the cellular physiology of Chlamydomonas reinhardtii. Using experimental approaches, 682 heat-resistant proteins were identified as putative IDPs. Among them, 299 proteins were consistently predicted as IDPs by all four disordered predictors. The mean percentage of disordered residues content of these IDPs is about 20%, and most of them (~70%) are addressed to other compartments than mitochondrion and chloroplast. These newly identified IDPs from C. reinhardtii have a biased amino acid composition as regard to other IDPs from the Database of protein disorder (DisProt). Furthermore, they play diverse molecular functions, and 54% of them are the targets for phosphorylation. Our work also revealed more knowledge of the IDR-containing protein adenylate kinase 3 (ADK3) that was extracted by heat-treatment. Its disordered C-terminal extension (CTE) brought new functions to this protein. For instance, via its CTE, ADK3 can form a bi-enzyme complex with glyceraldehyde-3-phosphate dehydrogenase (GAPDH), down-regulates the NADPH-dependent GAPDH activity, and behaves as a chaperone for GAPDH against its aggregation and inactivation under heat-treatment.
33

Rôle du désordre conformationnel dans les protéines du virus des oreillons / Investigating the role of intrinsic conformational disorder in mumps virus proteins

Ivashchenko, Stefaniia 01 July 2019 (has links)
Les oreillons sont une maladie très contagieuse causée par le virus ourlien. La méthode préventive (le vaccin) contre ce virus a été déjà mise au point. Par contre, les épidémies récentes restent incontrôlables. Il est donc très important de comprendre le mécanisme moléculaire de son cycle de vie afin d’élaborer le traitement effectif et spécifique. Ce virus appartient à la famille des Paramyxoviridae. Son génome, l’ARN non segmenté monocaténaire de polarité négative, est protégé par la nucléoprotéine (N) en formant des structures filamenteuses nucléocapsides. N joue un rôle essentiel dans la synthèse du génome viral. En effet, cette protéine avec la polymérase et son cofacteur phosphoprotéine (P) constitue la machinerie de transcription-réplication du virus. La N et la P sont composées des régions pliées et dépliées. Malgré que la morphologie du virus ourlien est conservée parmi les autres membres de la famille, il existe quelques différences. Il a été démontré que la P est un oligomère antiparallel avec les deux extrémités d’un côté qui interagissent avec la partie structurale de N (Ncore). Tandis que la fonction de la région désordonnée (Ntail) est compliquée à identifier pour le moment. En comparant avec les autres paramyxovirus connus, Ntail n’interagit pas avec le domaine C-terminal de la P. Le rôle des régions déstructurées de P n’a pas été défini. Dans ce projet, nous dévoilons les mécanismes des interactions entre diverses régions de N et P et nous expliquons comment les domaines intrinsèquement désordonnés de N et P sont impliqués dans la régulation de la machine complexe de réplication virale. Nous avons utilisé la résonance magnétique nucléaire qui est la méthode la plus puissante afin de déterminer la structure, la dynamique et les partenaires d’interaction dont la fonction des protéines dépliées virales. / Mumps is a highly contagious disease caused by the mumps virus. The prevention treatment (vaccine) against it is already in the routine use. However, recent outbreaks still remain uncontrollable. Therefore, it is important to understand the molecular mechanism of the mumps virus life cycle. This virus belongs to the family of Paramyxoviridae. Its genome, negative strand non-segmented RNA is protected by the nucleoprotein (N) by forming filamentous structures called nucleocapsids. N plays an important role in viral genome synthesis. Together with the polymerase and its cofactor phosphoprotein (P) they constitute the transcription-replication machinery. Both N and P contain folded and unfolded regions. Despite mumps virus common morphology with other paramyxovirus, there are some differences. It has been proposed that P is an antiparallel oligomer with two extremities on the one side being in interaction with the structural part of N (Ncore). The function of the disordered domain (Ntail) remains unclear, as it does not seem to bind to the C-terminal part of P, as is the case for other paramyxoviruses. The role of the disordered domains of P is also not known. In this project we revealed mechanisms of interaction between different regions of N and P and we explain how disordered regions of N and P are implicated in the regulation of the complex machinery of viral replication. We used the nuclear magnetic resonance which is the most powerful method to determine structure, dynamics and potential interaction partners, and therefore, function of disordered viral proteins.
34

Optimizing hydropathy scale to improve IDP prediction and characterizing IDPs' functions

Huang, Fei January 2014 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Intrinsically disordered proteins (IDPs) are flexible proteins without defined 3D structures. Studies show that IDPs are abundant in nature and actively involved in numerous biological processes. Two crucial subjects in the study of IDPs lie in analyzing IDPs’ functions and identifying them. We thus carried out three projects to better understand IDPs. In the 1st project, we propose a method that separates IDPs into different function groups. We used the approach of CH-CDF plot, which is based the combined use of two predictors and subclassifies proteins into 4 groups: structured, mixed, disordered, and rare. Studies show different structural biases for each group. The mixed class has more order-promoting residues and more ordered regions than the disordered class. In addition, the disordered class is highly active in mitosis-related processes among others. Meanwhile, the mixed class is highly associated with signaling pathways, where having both ordered and disordered regions could possibly be important. The 2nd project is about identifying if an unknown protein is entirely disordered. One of the earliest predictors for this purpose, the charge-hydropathy plot (C-H plot), exploited the charge and hydropathy features of the protein. Not only is this algorithm simple yet powerful, its input parameters, charge and hydropathy, are informative and readily interpretable. We found that using different hydropathy scales significantly affects the prediction accuracy. Therefore, we sought to identify a new hydropathy scale that optimizes the prediction. This new scale achieves an accuracy of 91%, a significant improvement over the original 79%. In our 3rd project, we developed a per-residue C-H IDP predictor, in which three hydropathy scales are optimized individually. This is to account for the amino acid composition differences in three regions of a protein sequence (N, C terminus and internal). We then combined them into a single per-residue predictor that achieves an accuracy of 74% for per-residue predictions for proteins containing long IDP regions.
35

Effective Statistical Energy Function Based Protein Un/Structure Prediction

Mishra, Avdesh 05 August 2019 (has links)
Proteins are an important component of living organisms, composed of one or more polypeptide chains, each containing hundreds or even thousands of amino acids of 20 standard types. The structure of a protein from the sequence determines crucial functions of proteins such as initiating metabolic reactions, DNA replication, cell signaling, and transporting molecules. In the past, proteins were considered to always have a well-defined stable shape (structured proteins), however, it has recently been shown that there exist intrinsically disordered proteins (IDPs), which lack a fixed or ordered 3D structure, have dynamic characteristics and therefore, exist in multiple states. Based on this, we extend the mapping of protein sequence not only to a fixed stable structure but also to an ensemble of protein conformations, which help us explain the complex interaction within a cell that was otherwise obscured. The objective of this dissertation is to develop effective ab initio methods and tools for protein un/structure prediction by developing effective statistical energy function, conformational search method, and disulfide connectivity patterns predictor. The key outcomes of this dissertation research are: i) a sequence and structure-based energy function for structured proteins that includes energetic terms extracted from hydrophobic-hydrophilic properties, accessible surface area, torsion angles, and ubiquitously computed dihedral angles uPhi and uPsi, ii) an ab initio protein structure predictor that combines optimal energy function derived from sequence and structure-based properties of proteins and an effective conformational search method which includes angular rotation and segment translation strategies, iii) an SVM with RBF kernel-based framework to predict disulfide connectivity pattern, iv) a hydrophobic-hydrophilic property based energy function for unstructured proteins, and v) an ab initio conformational ensemble generator that combines energy function and conformational search method for unstructured proteins which can help understand the biological systems involving IDPs and assist in rational drugs design to cure critical diseases such as cancer or cardiovascular diseases caused by challenging states of IDPs.
36

Structure et dynamique de protéines intrinsèquement désordonnées : Caractérisation par une approche combinant dynamique moléculaire avancée et SAXS / Structure and dynamic of intrinsically disordered proteins : Characterization by an approach combining advanced molecular dynamics and small angle X­ray scattering (SAXS)

Chan Yao Chong, Maud 15 October 2019 (has links)
Le travail de thèse consistera à explorer et caractériser l'ensemble conformationnel de protéines intrinsèquement désordonnées (IDPs) en utilisant plusieurs techniques complémentaires, notamment des simulations avancées de dynamique moléculaire et la diffusion des rayons X aux petits angles (SAXS). Les IDPs sont des protéines possédant une ou plusieurs régions n'ayant pas de structures secondaires stables lorsqu'elles sont isolées, mais pouvant en adopter lors de leur association avec de multiples autres protéines. La question, à laquelle ce travail souhaite répondre dans le cas de trois IDPs, est de savoir si ces éléments de structures secondaires, formés à l'interfaces des complexes protéine-protéine, pré-existent de façon transitoire, ou non, à l'état non-lié des IDPs en solution. S'il est possible d'identifier et de caractériser ces éléments de reconnaissance moléculaire dans les IDPs isolées, alors les résultats de ce travail permettront de guider par la suite la détermination des structures de complexes protéiques impliquant des IDPs. / The PhD work will consist in exploring and characterizing the conformational ensemble of intrinsically disordered proteins (IDPs), by using several complementary methods, including enhanced molecular dynamics simulations and small angle X-ray scattering (SAXS). IDPs are proteins having one or several regions that lack stable secondary structures in the unbound state, but which can adopt various structured conformations to bind other proteins. In the case of three IDPs, the project aims to answer the question of whether these secondary structures formed at the protein-protein interfaces transiently pre-exist or not in the unbound state of solvated IDPs. If it is possible to identify and characterize these molecular recognition features (MoRFs) in the IDP unbound state, then the results of this work will subsequently help to determine the structures of protein complexes involving IDPs.
37

Shedding light on silica biomineralization by comparative analysis of the silica-associated proteomes from three diatom species

Skeffington, Alastair W., Gentzel, Marc, Ohara, Andre, Milentyev, Alexander, Heintze, Christoph, Böttcher, Lorenz, Görlich, Stefan, Shevchenko, Andrej, Poulsen, Nicole, Kröger, Nils 05 April 2024 (has links)
Morphogenesis of the intricate patterns of diatom silica cell walls is a protein-guided process, yet to date only very few such silica biomineralization proteins have been identified. Therefore, it is currently unknown whether all diatoms share conserved proteins of a basal silica forming machinery, and whether unique proteins are responsible for the morphogenesis of species-specific silica patterns. To answer these questions, we extracted proteins from the silica of three diatom species (Thalassiosira pseudonana, Thalassiosira oceanica, and Cyclotella cryptica) by complete demineralization of the cell walls. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) analysis of the extracts identified 92 proteins that we name ‘soluble silicome proteins’ (SSPs). Surprisingly, no SSPs are common to all three species, and most SSPs showed very low similarity to one another in sequence alignments. In-depth bioinformatics analyses revealed that SSPs could be grouped into distinct classes based on short unconventional sequence motifs whose functions are yet unknown. The results from the in vivo localization of selected SSPs indicates that proteins, which lack sequence homology but share unconventional sequence motifs may exert similar functions in the morphogenesis of the diatom silica cell wall.

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