928 resultados para Secondary Structure Prediction


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Proteolytic activity is an important virulence factor for Candida albicans (C. albicans). It is attributed to the family of the secreted aspartic proteinases (Saps) from C. albicans with a minimum of 10 members. Saps show controlled expression and regulation for the individual stages of the infection process. Distinct isoenzymes can be responsible for adherence and tissue damage of local infections, while others cause systemic diseases. Earlier, only the structures of Sap2 and Sap3 were known. In our research, we have now succeeded in solving the X-ray crystal structures of the apoenzyme of Sap1 and Sap5 in complex with pepstatin A at 2.05 and 2.5 A resolution, respectively. With the structure of Sap1, we have completed the set of structures of isoenzyme subgroup Sap1-3. Of subgroup Sap4-6, the structure of the enzyme Sap5 is the first structure that has been described up to now. This facilitates comparison of structural details as well as inhibitor binding modes among the different subgroup members. Structural analysis reveals a highly conserved overall secondary structure of Sap1-3 and Sap5. However, Sap5 clearly differs from Sap1-3 by its electrostatic overall charge as well as through structural conformation of its entrance to the active site cleft. Design of inhibitors specific for Sap5 should concentrate on the S4 and S3 pockets, which significantly differ from Sap1-3 in size and electrostatic charge. Both Sap1 and Sap5 seem to play a major part in superficial Candida infections. Determination of the isoenzymes' structures can contribute to the development of new Sap-specific inhibitors for the treatment of superficial infections with a structure-based drug design program.

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Abstract: The human protozoan parasite Leishmania major has been shown to exhibit several morphological and biochemical features characteristic of a programmed cell death (PCD) when differentiating into infectious stages and under a variety of stress conditions. In mammalian cells, the principal effector molecules of PCD or apoptosis are caspases. Although some caspase-like peptidase activity has been reported in dying parasites, no caspase gene is present in the L. major genome. However, a single metacaspase gene is present in L. major whose encoded protein harbors the predicted secondary structure and the catalytic dyad histidine/cysteine described for caspases and other metacaspases identified in plants and yeast. Metacaspases are also present in other protozoan parasites such as Trypanosoma and Plasmodium species and are not present in mammalian cells, which make them a possible drug target for the treatment of the parasitic diseases they cause. The Saccharomyces cerevisiae metacaspase YCA1 has been implicated in the death of aging cells, cells defective in some biological functions, and cells exposed to different environmental stresses. In this study, we evaluated the functional heterologous complementation of a S. cerevisiae ycal null mutant with the L. major metacaspase (LmjMCA} in cell death induced by oxidative stress. We show that LmjMCA is involved in yeast cell death, similar to YCA1, and that this function depends on its catalytic activity. LmjMCA was found to be auto-processed as occurs for caspases, however, LmjMCA did not exhibit any activity with caspase substrates. In contrast, LmjMCA was active towards substrates with arginine in the P1 position, with the activity being abolished following H147A and C202A catalytic site mutations and addition of the arginal inhibitor leupeptin. In order to identify the L. major proteins that may function as substrates, inhibitors, or may bind and recruit LmjMCA, a yeast two-hybrid screening with cDNA libraries from different life cycle stages of the parasite was conducted. Proteins putatively involved in PCD were identified as interacting with LmjMCA, however, the interaction of LmjMCA with proteins involved in other physiological processes such as vesicle transport, suggests that LmjMCA could have additional roles in the different life cycle stages of the parasite. Résumé: Plusieurs caractéristiques morphologiques et biochimiques rappelant la mort cellulaire programmée ont été identifiées dans les stades infectieux et sous des conditions de stress, chez le parasite protozoaire humain, Leishmania major. Dans les cellules de mammifères, les caspases sont les molécules effectrices principales impliquées dans la mort cellulaire programmée et l'apoptose. Bien qu'une activité caspase ait été retrouvée dans des parasites en mon` cellulaire, le génome de Leishmania ne contient aucun gène qui pourrait coder pour une caspase. À la place, on retrouve un gène unique codant pour une métacaspase. Une prédiction de la structure secondaire de la métacaspase montre que cette métacaspase a un domaine catalytique contenant la dyade histidine/cystéine présente dans les caspases et les autres métacaspases décrites chez les plantes et la levure. Les métacaspases sont aussi présentes dans d'autres parasites protozoaires tels que Trypanosome et Plasmodium, mais ne sont pas présentes dans les cellules de mammifères, ce qui en fait des cibles intéressantes pour le développement de drogue. Dans la levure, Saccharomyces cerevisiae, la métacaspase YCA1 est impliquée dans la mort des cellules âgées, la mort des cellules défectueuses dans certaines fonctions biologiques et dans les cellules exposées à différents stress environnementaux. Dans cette étude, une complémentation hétérologue fonctionnelle d'un mutant de la levure déficient en YCA1 par le gène LmjMCA de L. major lors de l'induction de ta mort par stress oxydatif a été évaluée. Nos résultats montrent que LmjMCA peut remplacer YGA1 dans le programme de mort cellulaire chez la levure et que celte fonction dépend de son activité catalytique. De plus, LmjMCA subit une auto clivage comme les caspases mais n'exhibe aucune spécificité pour les substrats des caspases. Au contraire, LmjMCA est active envers des substrats ayant une arginine en position P1, son activité étant détruite suite à des changements de son domaine catalytique par les mutations H147A et C202A ou suite à une inhibition para la leupeptine. Afin d'identifier quels pourraient être les substrats, les inhibiteurs ou les molécules interagissant avec LmjMCA, nous avons entrepris un criblage double-hybride en utilisant des librairies de d'ADNc provenant de différents stades du cycle parasitaire. Plusieurs protéines potentiellement impliquées dans un programme de mort cellulaire ont été identifiées comme interagissant avec LmjMCA. Cependant, l'identification de protéines impliquées dans le transport vésiculaire suggère aussi que LmjMCA pourrait avoir un rôle additionnel dans les différents stades du cycle parasitaire. Résumé destiné à un large public: De nos jours, la leishmaniose est la deuxième plus importante maladie parasitaire après la malaria. Malgré les avancées accomplies dans les stratégies de contrôle, près de deux millions de nouveaux cas apparaissent chaque année. Actuellement, la principale stratégie pour faire face à ce problème épidémiologique consiste en un traitement pharmacologique des personnes infectées. Pourtant, seule une dizaine de médicaments, dont la plupart sont toxiques, est disponible pour traiter la leishmaniose et des cas de résistance émergent dans certains pays endémiques. Il devient donc urgent de mettre au point de nouveaux traitements anti-leishmaniens capables d'éliminer le parasite sans effets indésirables sur le patient. Récemment, des caractéristiques morphologiques et biochimiques de la mort cellulaire programmée (MCP) semblables au processus de l'apoptose chez les mammifères ont été décrites dans Leishmania. Cependant, des gènes codant pour des protéines similaires à celles qui sont impliquées dans l'apoptose, comme les caspases, ne se retrouvent pas dans le génome de Leishmanía major. Néanmoins, les espèces de Leishmanía, aussi bien que d'autres parasites protozoaires responsables des trypanosomiases et de la malaria, possèdent des métacaspases qui sont des protéines homologues aux caspases mais qui ne sont pas présentes chez les mammifères. C'est pourquoi, la caractérisation de la métacaspase de Leishmania (LmjMCA) ainsi que ses mécanismes d'activation pourrait être une piste d'investigation intéressante dans l'identification de nouvelles cibles thérapeutiques dans les voies de signalisation de la MCP des parasites protozoaires. Dans la levure, Saccharomyces cerevisiae, la métacaspase YCA1 est impliquée dans la mort des cellules âgées, la mort des cellules défectueuses dans certaines fonctions biologiques et dans les cellules exposées à différents stress environnementaux. Dans cette étude, une complémentation hétérologue fonctionnelle d'un mutant de la levure déficient en YCA1 par le gène LmjMCA de L major lors de l'induction de la mort par stress oxydatif a été évaluée. Nos résultats montrent que LmjMCA peut remplacer YCA1 dans le programme de mort cellulaire chez la levure et que cette fonction dépend de son activité catalytique. De plus, LmjMCA subit une auto clivage comme les caspases mais n'exhibe aucune spécificité pour les substrats des caspases. Au contraire, LmjMCA est active envers des substrats ayant une arginine en position P1, son activité étant détruite suite à des changements de son domaine catalytique par les mutations H147A et C202A ou suite à une inhibition para la leupeptine. Afin d'identifier quels pourraient être les substrats, les inhibiteurs ou les molécules interagissant avec LmjMCA, nous avons entrepris un criblage double-hybride en utilisant des librairies de d'ADNe provenant de différents stades du cycle parasitaire. Plusieurs protéines potentiellement impliquées dans un programme de mort cellulaire ont été identifiées comme interagissant avec LmjMCA. Cependant, l'identification de protéines impliquées dans le transport vésiculaire suggère aussi que LmjMCA pourrait avoir un rôle additionnel dans les différents stades du cycle parasitaire. Resumen destinado al público en general: La leishmaniasis es la segunda enfermedad parasitaria más importante en el mundo actual. Aproximadamente 2 millones de nuevos casos ocurren cada año a pesar de los avances logrados en el desarrollo de nuevos métodos de control. El tratamiento farmacológico de las personas infectadas es actualmente la principal estrategia de control, sin embargo, menos de una decena de medicamentos se encuentran disponibles en el mercado, la mayoría de ellos son tóxicos, y ya empiezan a encontrarse parásitos resistentes en algunos países endémicos para la leishmaniasis. El desarrollo de nuevos medicamentos capaces de eliminar los parásitos sin producir efectos indeseables en los humanos, es una necesidad inminente. Recientemente, algunas de las características morfológicas y bioquímicas de la muerte celular programada (MCP) similares al proceso de la apoptosis en mamíferos, han sido descritas en parasitos de Leishmania. Sin embargo, genes que codifiquen proteínas similares a aquellas involucradas en la apoptosis, como las caspasas, no se encuentran en el genoma de Leishmania major. AI contrario, las especies de Leishmania, así como de los otros parásitos responsables de la tripanosomiasis y de la malaria, poseen metacaspases, proteínas homologas a las caspases pero que no están presentes en las células de mamíferos. La caracterización de la metacaspasa de L. major y de sus mecanismos de activación constituye, por lo tanto, un área de investigación interesante para la identificación de nuevos blancos terapéuticos en el proceso de MCP de los parásitos protozoarios. En la levadura Saccharomyces cerevisiae, la metacaspasa YCA1 ha sido descrita como implicada en la muerte de células envejecidas, células defectuosas en algunas funciones biológicas, y en células expuestas a diferentes tipos de estrés ambiental. En el presente estudio se evaluó la complementación heteróloga funcional de una levadura mutante deficiente en YCA1 con el gen de metacaspase de L. major (LmjMCA) en la MCP inducida por estrés oxidativo. Nuestros resultados muestran que la LmjMCA puede reemplazarla YCA1 en la MCP de la levadura dependiente de su actividad catalítica y que la LmjMCA se auto-procesa similar a las caspasas. Sin embargo, LmjMCA no reconoce los substratos de caspasas sino substratos con una arginina en ta posición P1. Dicha actividad enzimática fue abolida con la inducción de las mutaciones puntuales H147A y C202A en la díada catalítica de LmjMCA y con la adición de leupeptina, un inhibidor con arginina. Con el fin de identificar proteínas que pudieran funcionar como substratos, inhibidores o moléculas modificadoras de LmjMCA, se aplicó el método de doble-híbrido en levadura con bibliotecas de ADNc provenientes de diferentes estadios del ciclo de vida del parásito. Algunas proteínas potencialmente implicadas. en la MCP del parásito fueron identiñcadas interactuando con LmjMCA. La identificación de otras proteínas involucradas en transporte vesicular sugiere que la LmjMCA podría tener una función biológica adicional en los diferentes estadios del ciclo de vida dei parásito.

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The riboregulator RsmY of Pseudomonas fluorescens strain CHA0 is an example of small regulatory RNAs belonging to the global Rsm/Csr regulatory systems controlling diverse cellular processes such as glycogen accumulation, motility, or formation of extracellular products in various bacteria. By binding multiple molecules of the small regulatory protein RsmA, RsmY relieves the negative effect of RsmA on the translation of several target genes involved in the biocontrol properties of strain CHA0. RsmY and functionally related riboregulators have repeated GGA motifs predicted to be exposed in single-stranded regions, notably in the loops of hairpins. The secondary structure of RsmY was corroborated by in vivo cleavage with lead acetate. RsmY mutants lacking three or five (out of six) of the GGA motifs showed reduced ability to derepress the expression of target genes in vivo and failed to bind the RsmA protein efficiently in vitro. The absence of GGA motifs in RsmY mutants resulted in reduced abundance of these transcripts and in a shorter half-life (< or = 6 min as compared with 27 min for wild type RsmY). These results suggest that both the interaction of RsmY with RsmA and the stability of RsmY strongly depend on the GGA repeats and that the ability of RsmY to interact with small regulatory proteins such as RsmA may protect this RNA from degradation.

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In a number of programs for gene structure prediction in higher eukaryotic genomic sequences, exon prediction is decoupled from gene assembly: a large pool of candidate exons is predicted and scored from features located in the query DNA sequence, and candidate genes are assembled from such a pool as sequences of nonoverlapping frame-compatible exons. Genes are scored as a function of the scores of the assembled exons, and the highest scoring candidate gene is assumed to be the most likely gene encoded by the query DNA sequence. Considering additive gene scoring functions, currently available algorithms to determine such a highest scoring candidate gene run in time proportional to the square of the number of predicted exons. Here, we present an algorithm whose running time grows only linearly with the size of the set of predicted exons. Polynomial algorithms rely on the fact that, while scanning the set of predicted exons, the highest scoring gene ending in a given exon can be obtained by appending the exon to the highest scoring among the highest scoring genes ending at each compatible preceding exon. The algorithm here relies on the simple fact that such highest scoring gene can be stored and updated. This requires scanning the set of predicted exons simultaneously by increasing acceptor and donor position. On the other hand, the algorithm described here does not assume an underlying gene structure model. Indeed, the definition of valid gene structures is externally defined in the so-called Gene Model. The Gene Model specifies simply which gene features are allowed immediately upstream which other gene features in valid gene structures. This allows for great flexibility in formulating the gene identification problem. In particular it allows for multiple-gene two-strand predictions and for considering gene features other than coding exons (such as promoter elements) in valid gene structures.

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Summary The specific CD8+ T cell immune response against tumors relies on the recognition by the T cell receptor (TCR) on cytotoxic T lymphocytes (CTL) of antigenic peptides bound to the class I major histocompatibility complex (MHC) molecule. Such tumor associated antigenic peptides are the focus of tumor immunotherapy with peptide vaccines. The strategy for obtaining an improved immune response often involves the design of modified tumor associated antigenic peptides. Such modifications aim at creating higher affinity and/or degradation resistant peptides and require precise structures of the peptide-MHC class I complex. In addition, the modified peptide must be cross-recognized by CTLs specific for the parental peptide, i.e. preserve the structure of the epitope. Detailed structural information on the modified peptide in complex with MHC is necessary for such predictions. In this thesis, the main focus is the development of theoretical in silico methods for prediction of both structure and cross-reactivity of peptide-MHC class I complexes. Applications of these methods in the context of immunotherapy are also presented. First, a theoretical method for structure prediction of peptide-MHC class I complexes is developed and validated. The approach is based on a molecular dynamics protocol to sample the conformational space of the peptide in its MHC environment. The sampled conformers are evaluated using conformational free energy calculations. The method, which is evaluated for its ability to reproduce 41 X-ray crystallographic structures of different peptide-MHC class I complexes, shows an overall prediction success of 83%. Importantly, in the clinically highly relevant subset of peptide-HLAA*0201 complexes, the prediction success is 100%. Based on these structure predictions, a theoretical approach for prediction of cross-reactivity is developed and validated. This method involves the generation of quantitative structure-activity relationships using three-dimensional molecular descriptors and a genetic neural network. The generated relationships are highly predictive as proved by high cross-validated correlation coefficients (0.78-0.79). Together, the here developed theoretical methods open the door for efficient rational design of improved peptides to be used in immunotherapy. Résumé La réponse immunitaire spécifique contre des tumeurs dépend de la reconnaissance par les récepteurs des cellules T CD8+ de peptides antigéniques présentés par les complexes majeurs d'histocompatibilité (CMH) de classe I. Ces peptides sont utilisés comme cible dans l'immunothérapie par vaccins peptidiques. Afin d'augmenter la réponse immunitaire, les peptides sont modifiés de façon à améliorer l'affinité et/ou la résistance à la dégradation. Ceci nécessite de connaître la structure tridimensionnelle des complexes peptide-CMH. De plus, les peptides modifiés doivent être reconnus par des cellules T spécifiques du peptide natif. La structure de l'épitope doit donc être préservée et des structures détaillées des complexes peptide-CMH sont nécessaires. Dans cette thèse, le thème central est le développement des méthodes computationnelles de prédiction des structures des complexes peptide-CMH classe I et de la reconnaissance croisée. Des applications de ces méthodes de prédiction à l'immunothérapie sont également présentées. Premièrement, une méthode théorique de prédiction des structures des complexes peptide-CMH classe I est développée et validée. Cette méthode est basée sur un échantillonnage de l'espace conformationnel du peptide dans le contexte du récepteur CMH classe I par dynamique moléculaire. Les conformations sont évaluées par leurs énergies libres conformationnelles. La méthode est validée par sa capacité à reproduire 41 structures des complexes peptide-CMH classe I obtenues par cristallographie aux rayons X. Le succès prédictif général est de 83%. Pour le sous-groupe HLA-A*0201 de complexes de grande importance pour l'immunothérapie, ce succès est de 100%. Deuxièmement, à partir de ces structures prédites in silico, une méthode théorique de prédiction de la reconnaissance croisée est développée et validée. Celle-ci consiste à générer des relations structure-activité quantitatives en utilisant des descripteurs moléculaires tridimensionnels et un réseau de neurones couplé à un algorithme génétique. Les relations générées montrent une capacité de prédiction remarquable avec des valeurs de coefficients de corrélation de validation croisée élevées (0.78-0.79). Les méthodes théoriques développées dans le cadre de cette thèse ouvrent la voie du design de vaccins peptidiques améliorés.

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The sensor kinase GacS and the response regulator GacA are members of a two-component system that is present in a wide variety of gram-negative bacteria and has been studied mainly in enteric bacteria and fluorescent pseudomonads. The GacS/GacA system controls the production of secondary metabolites and extracellular enzymes involved in pathogenicity to plants and animals, biocontrol of soilborne plant diseases, ecological fitness, or tolerance to stress. A current model proposes that GacS senses a still-unknown signal and activates, via a phosphorelay mechanism, the GacA transcription regulator, which in turn triggers the expression of target genes. The GacS protein belongs to the unorthodox sensor kinases, characterized by an autophosphorylation, a receiver, and an output domain. The periplasmic loop domain of GacS is poorly conserved in diverse bacteria. Thus, a common signal interacting with this domain would be unexpected. Based on a comparison with the transcriptional regulator NarL, a secondary structure can be predicted for the GacA sensor kinases. Certain genes whose expression is regulated by the GacS/GacA system are regulated in parallel by the small RNA binding protein RsmA (CsrA) at a posttranscriptional level. It is suggested that the GacS/GacA system operates a switch between primary and secondary metabolism, with a major involvement of posttranscriptional control mechanisms.

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TCRep 3D is an automated systematic approach for TCR-peptide-MHC class I structure prediction, based on homology and ab initio modeling. It has been considerably generalized from former studies to be applicable to large repertoires of TCR. First, the location of the complementary determining regions of the target sequences are automatically identified by a sequence alignment strategy against a database of TCR Vα and Vβ chains. A structure-based alignment ensures automated identification of CDR3 loops. The CDR are then modeled in the environment of the complex, in an ab initio approach based on a simulated annealing protocol. During this step, dihedral restraints are applied to drive the CDR1 and CDR2 loops towards their canonical conformations, described by Al-Lazikani et. al. We developed a new automated algorithm that determines additional restraints to iteratively converge towards TCR conformations making frequent hydrogen bonds with the pMHC. We demonstrated that our approach outperforms popular scoring methods (Anolea, Dope and Modeller) in predicting relevant CDR conformations. Finally, this modeling approach has been successfully applied to experimentally determined sequences of TCR that recognize the NY-ESO-1 cancer testis antigen. This analysis revealed a mechanism of selection of TCR through the presence of a single conserved amino acid in all CDR3β sequences. The important structural modifications predicted in silico and the associated dramatic loss of experimental binding affinity upon mutation of this amino acid show the good correspondence between the predicted structures and their biological activities. To our knowledge, this is the first systematic approach that was developed for large TCR repertoire structural modeling.

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We describe the use of dynamic combinatorial chemistry (DCC) to identify ligands for the stem-loop structure located at the exon 10-5'-intron junction of Tau pre-mRNA, which is involved in the onset of several tauopathies including frontotemporal dementia with Parkinsonism linked to chromosome 17 (FTDP-17). A series of ligands that combine the small aminoglycoside neamine and heteroaromatic moieties (azaquinolone and two acridines) have been identified by using DCC. These compounds effectively bind the stem-loop RNA target (the concentration required for 50% RNA response (EC(50)): 2-58 μM), as determined by fluorescence titration experiments. Importantly, most of them are able to stabilize both the wild-type and the +3 and +14 mutated sequences associated with the development of FTDP-17 without producing a significant change in the overall structure of the RNA (as analyzed by circular dichroism (CD) spectroscopy), which is a key factor for recognition by the splicing regulatory machinery. A good correlation has been found between the affinity of the ligands for the target and their ability to stabilize the RNA secondary structure.

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Homology modeling is the most commonly used technique to build a three-dimensional model for a protein sequence. It heavily relies on the quality of the sequence alignment between the protein to model and related proteins with a known three dimensional structure. Alignment quality can be assessed according to the physico-chemical properties of the three dimensional models it produces.In this work, we introduce fifteen predictors designed to evaluate the properties of the models obtained for various alignments. They consist of an energy value obtained from different force fields (CHARMM, ProsaII or ANOLEA) computed on residue selected around misaligned regions. These predictors were evaluated on ten challenging test cases. For each target, all possible ungapped alignments are generated and their corresponding models are computed and evaluated.The best predictor, retrieving the structural alignment for 9 out of 10 test cases, is based on the ANOLEA atomistic mean force potential and takes into account residues around misaligned secondary structure elements. The performance of the other predictors is significantly lower. This work shows that substantial improvement in local alignments can be obtained by careful assessment of the local structure of the resulting models.

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Les échantillons biologiques ne s?arrangent pas toujours en objets ordonnés (cristaux 2D ou hélices) nécessaires pour la microscopie électronique ni en cristaux 3D parfaitement ordonnés pour la cristallographie rayons X alors que de nombreux spécimens sont tout simplement trop << gros D pour la spectroscopie NMR. C?est pour ces raisons que l?analyse de particules isolées par la cryo-microscopie électronique est devenue une technique de plus en plus importante pour déterminer la structure de macromolécules. Néanmoins, le faible rapport signal-sur-bruit ainsi que la forte sensibilité des échantillons biologiques natifs face au faisceau électronique restent deux parmi les facteurs limitant la résolution. La cryo-coloration négative est une technique récemment développée permettant l?observation des échantillons biologiques avec le microscope électronique. Ils sont observés à l?état vitrifié et à basse température, en présence d?un colorant (molybdate d?ammonium). Les avantages de la cryo-coloration négative sont étudiés dans ce travail. Les résultats obtenus révèlent que les problèmes majeurs peuvent êtres évités par l?utilisation de cette nouvelle technique. Les échantillons sont représentés fidèlement avec un SNR 10 fois plus important que dans le cas des échantillons dans l?eau. De plus, la comparaison de données obtenues après de multiples expositions montre que les dégâts liés au faisceau électronique sont réduits considérablement. D?autre part, les résultats exposés mettent en évidence que la technique est idéale pour l?analyse à haute résolution de macromolécules biologiques. La solution vitrifiée de molybdate d?ammonium entourant l?échantillon n?empêche pas l?accès à la structure interne de la protéine. Finalement, plusieurs exemples d?application démontrent les avantages de cette technique nouvellement développée.<br/><br/>Many biological specimens do not arrange themselves in ordered assemblies (tubular or flat 2D crystals) suitable for electron crystallography, nor in perfectly ordered 3D crystals for X-ray diffraction; many other are simply too large to be approached by NMR spectroscopy. Therefore, single-particles analysis has become a progressively more important technique for structural determination of large isolated macromolecules by cryo-electron microscopy. Nevertheless, the low signal-to-noise ratio and the high electron-beam sensitivity of biological samples remain two main resolution-limiting factors, when the specimens are observed in their native state. Cryo-negative staining is a recently developed technique that allows the study of biological samples with the electron microscope. The samples are observed at low temperature, in the vitrified state, but in presence of a stain (ammonium molybdate). In the present work, the advantages of this novel technique are investigated: it is shown that cryo-negative staining can generally overcome most of the problems encountered with cryo-electron microscopy of vitrified native suspension of biological particles. The specimens are faithfully represented with a 10-times higher SNR than in the case of unstained samples. Beam-damage is found to be considerably reduced by comparison of multiple-exposure series of both stained and unstained samples. The present report also demonstrates that cryo-negative staining is capable of high- resolution analysis of biological macromolecules. The vitrified stain solution surrounding the sample does not forbid the access to the interna1 features (ie. the secondary structure) of a protein. This finding is of direct interest for the structural biologist trying to combine electron microscopy and X-ray data. developed electron microscopy technique. Finally, several application examples demonstrate the advantages of this newly

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Secondary structure-forming DNA sequences such as CAG repeats interfere with replication and repair, provoking fork stalling, chromosome fragility, and recombination. In budding yeast, we found that expanded CAG repeats are more likely than unexpanded repeats to localize to the nuclear periphery. This positioning is transient, occurs in late S phase, requires replication, and is associated with decreased subnuclear mobility of the locus. In contrast to persistent double-stranded breaks, expanded CAG repeats at the nuclear envelope associate with pores but not with the inner nuclear membrane protein Mps3. Relocation requires Nup84 and the Slx5/8 SUMO-dependent ubiquitin ligase but not Rad51, Mec1, or Tel1. Importantly, the presence of the Nup84 pore subcomplex and Slx5/8 suppresses CAG repeat fragility and instability. Repeat instability in nup84, slx5, or slx8 mutant cells arises through aberrant homologous recombination and is distinct from instability arising from the loss of ligase 4-dependent end-joining. Genetic and physical analysis of Rad52 sumoylation and binding at the CAG tract suggests that Slx5/8 targets sumoylated Rad52 for degradation at the pore to facilitate recovery from acute replication stress by promoting replication fork restart. We thereby confirmed that the relocation of damage to nuclear pores plays an important role in a naturally occurring repair process.

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The design and synthesis of two Janus-type heterocycles with the capacity to simultaneously recognize guanine and uracyl in G-U mismatched pairs through complementary hydrogen bond pairing is described. Both compounds were conveniently functionalized with a carboxylic function and efficiently attached to a tripeptide sequence by using solid-phase methodologies. Ligands based on the derivatization of such Janus compounds with a small aminoglycoside, neamine, and its guanidinylated analogue have been synthesized, and their interaction with Tau RNA has been investigated by using several biophysical techniques, including UV-monitored melting curves, fluorescence titration experiments, and 1H NMR. The overall results indicated that Janus-neamine/guanidinoneamine showed some preference for the +3 mutated RNA sequence associated with the development of some tauopathies, although preliminary NMR studies have not confirmed binding to G-U pairs. Moreover, a good correlation has been found between the RNA binding affinity of such Janus-containing ligands and their ability to stabilize this secondary structure upon complexation.

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The FTIR spectroscopy has been used to quantify the secondary structures of proteins, using amide I band (1600 - 1700 cm-1). The resolution enhancement methods have been used to resolve the individual components of this band that correlate to the secondary structure. In this paper we discuss the methods of derivative, Fourier deconvolution and fitting with simulated spectra. The results shows that they have serious problems and can be used only as a qualitative or semiquatitative method.

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This work describes the selective hydrolysis of carboxyamide groups of asparagine and glutamine of collagen matrices for the preparation of negatively charged collagen biomaterials. The reaction was performed in the presence of chloride and sulfate salts of alkaline and alkaline earth metals in aqueous dimethylsulfoxide solution and, selectively hydrolysis of carboxyamide groups of collagen matrices was promoted without cleavage of the peptide bond. The result is a new collagen material with controlled increase in negative charge content. Although triple helix secondary structure of tropocollagen was preserved, significative changes in thermal stabilities were observed in association with a new pattern of tropocollagen macromolecular association, particularly in respect microfibril assembly, thus providing at physiological pH a new type of collagen structure for biomaterial preparation, characterized by different charge and structural contents .

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Modeling methods to derive 3D-structure of proteins have been recently developed. Protein homology-modeling, also known as comparative protein modeling, is nowadays the most accurate protein modeling method. This technique can produce useful models for about an order of magnitude more protein sequences than there have been structures determined by experiment in the same amount of time. All current protein homology-modeling methods consist of four sequential steps: fold assignment and template selection, template-target alignment, model building, and model evaluation. In this paper we discuss in some detail the protein-homology paradigm, its predictive power and its limitations.