<p>  </p> <p>Protein translocation across the chloroplast outer membrane is essential for photosynthesis in all plants and certain algae. This is because most chloroplast proteins (over 90%) are encoded in the nucleus, translated in the cytoplasm, and must be imported into the chloroplasts to perform their function. The translocon at the outer chloroplast membrane (TOC) complex orchestrates this vital translocation process and consists of three components in plants: Toc75, Toc33/34 and Toc159. Our overall goal is to elucidate the architecture of the TOC complex to gain mechanistic insights into protein translocation into chloroplasts. However, the major bottleneck preventing structure determination of the TOC complex has been the inability to produce or isolate the complex to sufficient yields and purity for structural studies. We began by using phage display to screen for synthetic antigen-binding fragments (sABs) that bind to the soluble POTRA domains of Toc75 from both <em>Arabidopsis thaliana</em> and <em>Pisum sativum</em>. We then characterized the POTRA-sAB interactions using size-exclusion chromatography coupled with small angle X-ray scattering (SEC-SAXS), isothermal titration calorimetry (ITC), and X-ray crystallography. Finally, we show that we can use an affinity tagged sAB to isolate the TOC complex directly from pea biomass. This study has paved the way for high-resolution structural studies of the TOC complex from plants to understand protein translocation mechanisms. </p>

Actin cytoskeleton reorganization plays essential roles in many cellular processes such as cell structure maintenance, cell motility, and force generation. Cytoskeletal drugs are small molecules that act on cytoskeletal components by either stabilizing or destabilizing them. Swinholide A is an actin-binding drug derived from the marine sponge. Swinholide A binds actin dimers as well as severs filaments. The main objective of this project is to determine how Swinholide A modulates actin filament assembly dynamics in the presence of macromolecular crowding. We utilize total internal reflection fluorescence (TIRF) microscopy imaging to directly visualize Swinholide A-mediated actin filament disassembly and severing. Filament disassembly and severing are evaluated by calculating actin filament lengths and length distribution controlled by Swinholide A. This study helps us better understand the fundamental mechanism by which Swinholide A affects actin assembly and disassembly dynamics. Further studies will allow for investigating new methods of treatment for a range of different diseases that have pathogenetically high levels of filamentous actin, such as cystic fibrosis, as well as a drug to combat the explosive expansion of cancers.

O câncer cervical afeta milhões de mulheres em todo o mundo a cada ano. A maioria dos casos de câncer cervical é causada pelo vírus do papiloma humano (HPV) que é sexualmente transmissível. Cerca de 40 tipos de HPV infectam o colo do útero e estes são designados como sendo de alto ou de baixo risco com base no seu potencial para provocar lesões de alto grau e câncer. A oncoproteína E7 do HPV está diretamente envolvida no aparecimento de câncer de colo do útero. Esta se associada com a proteína pRb e outros alvos celulares que promovem a imortalização celular e carcinogênese. Apesar de muito progresso nos estudos sobre os HPVs de alto risco, ainda não existe uma terapêutica adequada para o tratamento das lesões e câncer causados por este vírus. Este trabalho teve como objetivo entender as diferenças estruturais entre E7 de alto e baixo risco e sugerir, através de análises de bioinformática, possíveis sítios de ligação e inibidores para a E7. Esta é a primeira descrição da modelagem e análise de dinâmica molecular de quatro estruturas tridimensionais completas da E7 dos tipos de alto risco (HPV tipos 16 e 18), de baixo risco (HPV tipo 11) e não relacionadas ao câncer cervical (HPV tipo 1A). Os modelos foram construídos por uma abordagem híbrida usando modelagem por homologia e ab initio. Os modelos foram usados em simulações de dinâmica molecular por 50 ns, sob condições normais de temperatura e pressão. A desordem intrínseca da sequência da proteína E7 foi avaliada com o uso de ferramentas in silico. Os domínios N-terminal de todas as E7 estudadas, mesmo as de alto risco, exibiram estruturas secundárias depois da modelagem. Nas análises da trajetória da dinâmica molecular, as E7s dos HPVs dos tipos 16 e 18 apresentaram maior instabilidade nos seus domínios N-terminais em relação aos do HPV dos tipos 11 e 01. No entanto, esta variação não afetou a conformação das estruturas secundárias durante a simulação. A análise com ANCHOR indicou que as regiões CR1 e CR2 regiões dos tipos de HPV 16 e 18 contêm possíveis alvos para a descoberta da droga. Já a região CR3 do domínio C-terminal indicou estabilidade nas análises in silico e, por isso, foi usada como alvo de busca de modelos farmacofóricos e docking macromolecular. A proteína usada como modelo foi a E7 do HPV tipo 45 resultante de análises de ressonância magnética nuclear (RMN) e depositada no banco de dados de proteína (ID: 2F8B). Foram selecionados por análises sequenciais de busca farmacofórica, docking e re-docking, 19 compostos (extraídos de amplas bibliotecas de pequenos ligantes) com potencial para candidatos a inibidores da E7. Eles foram avaliados quanto a sua função de pontuação, mapas de interação receptor-ligante e toxicidade e os melhores foram indicados para estudos futuros. / Cervical cancer affects millions of women around the world each year. Most cases of cervical cancer are caused by human papilloma virus (HPV) which is sexually transmitted. About 40 types of HPV infect the cervix and these are designated as being at high or low risk based on their potential to cause high-grade lesions and cancer. The E7 oncoprotein from HPV is directly involved in the onset of cervical cancer. It associates with the pRb protein and other cellular targets that promote cell immortalization and carcinogenesis. Although the progress in studies with high-risk HPVs there is still no adequate therapy for the treatment of lesions and cancers caused by this virus. This study aimed to understand the structural differences between E7 of high and low risk and suggest, with the aid of bioinformatics analyzes, possible binding sites and inhibitors for the E7. This is the first description of the modeling and molecular dynamics analysis of four complete three-dimensional structures of E7 from high-risk types (HPV types 16 and 18), low risk (HPV type 11) and that not related to cervical cancer (HPV 01). The models were constructed by a hybrid approach using homology modeling and ab initio. The models were used in molecular dynamics simulations for 50 ns, under normal temperature and pressure. The intrinsic disorder of the E7 protein sequence was assessed using in silico tools. The N-terminal domains of all E7s, even the high-risks, showed secondary structures after modeling. In the trajectory analyzes of molecular dynamics, the E7s of HPV types 16 and 18 showed high instability in their N-terminal domains than those of HPV types 11 and 01, however, this variation did not affect the conformation of secondary structures during the simulation. The analysis with ANCHOR indicated that regions CR1 and CR2 regions of types of HPV 16 and 18 contain possible targets for drug discovery. The CR3 region of the C-terminal domain indicated stability by in silico analyzes and was therefore used as target to search for pharmacophoric models and \"docking\". The protein used as a model was the E7, from HPV type 45, constructed by analysis of nuclear magnetic resonance (NMR) and deposited in the protein data bank (ID: 2F8B). It was selected 19 compounds as potential candidates for E7 inhibitors (extracted from large libraries of small ligands) using sequential pharmacophore search, docking and re-docking analyzes. They were evaluated for their scoring function, maps of receptor-ligand interactions and toxicity and the best suited were indicated for future studies.

O câncer cervical afeta milhões de mulheres em todo o mundo a cada ano. A maioria dos casos de câncer cervical é causada pelo vírus do papiloma humano (HPV) que é sexualmente transmissível. Cerca de 40 tipos de HPV infectam o colo do útero e estes são designados como sendo de alto ou de baixo risco com base no seu potencial para provocar lesões de alto grau e câncer. A oncoproteína E7 do HPV está diretamente envolvida no aparecimento de câncer de colo do útero. Esta se associada com a proteína pRb e outros alvos celulares que promovem a imortalização celular e carcinogênese. Apesar de muito progresso nos estudos sobre os HPVs de alto risco, ainda não existe uma terapêutica adequada para o tratamento das lesões e câncer causados por este vírus. Este trabalho teve como objetivo entender as diferenças estruturais entre E7 de alto e baixo risco e sugerir, através de análises de bioinformática, possíveis sítios de ligação e inibidores para a E7. Esta é a primeira descrição da modelagem e análise de dinâmica molecular de quatro estruturas tridimensionais completas da E7 dos tipos de alto risco (HPV tipos 16 e 18), de baixo risco (HPV tipo 11) e não relacionadas ao câncer cervical (HPV tipo 1A). Os modelos foram construídos por uma abordagem híbrida usando modelagem por homologia e ab initio. Os modelos foram usados em simulações de dinâmica molecular por 50 ns, sob condições normais de temperatura e pressão. A desordem intrínseca da sequência da proteína E7 foi avaliada com o uso de ferramentas in silico. Os domínios N-terminal de todas as E7 estudadas, mesmo as de alto risco, exibiram estruturas secundárias depois da modelagem. Nas análises da trajetória da dinâmica molecular, as E7s dos HPVs dos tipos 16 e 18 apresentaram maior instabilidade nos seus domínios N-terminais em relação aos do HPV dos tipos 11 e 01. No entanto, esta variação não afetou a conformação das estruturas secundárias durante a simulação. A análise com ANCHOR indicou que as regiões CR1 e CR2 regiões dos tipos de HPV 16 e 18 contêm possíveis alvos para a descoberta da droga. Já a região CR3 do domínio C-terminal indicou estabilidade nas análises in silico e, por isso, foi usada como alvo de busca de modelos farmacofóricos e docking macromolecular. A proteína usada como modelo foi a E7 do HPV tipo 45 resultante de análises de ressonância magnética nuclear (RMN) e depositada no banco de dados de proteína (ID: 2F8B). Foram selecionados por análises sequenciais de busca farmacofórica, docking e re-docking, 19 compostos (extraídos de amplas bibliotecas de pequenos ligantes) com potencial para candidatos a inibidores da E7. Eles foram avaliados quanto a sua função de pontuação, mapas de interação receptor-ligante e toxicidade e os melhores foram indicados para estudos futuros. / Cervical cancer affects millions of women around the world each year. Most cases of cervical cancer are caused by human papilloma virus (HPV) which is sexually transmitted. About 40 types of HPV infect the cervix and these are designated as being at high or low risk based on their potential to cause high-grade lesions and cancer. The E7 oncoprotein from HPV is directly involved in the onset of cervical cancer. It associates with the pRb protein and other cellular targets that promote cell immortalization and carcinogenesis. Although the progress in studies with high-risk HPVs there is still no adequate therapy for the treatment of lesions and cancers caused by this virus. This study aimed to understand the structural differences between E7 of high and low risk and suggest, with the aid of bioinformatics analyzes, possible binding sites and inhibitors for the E7. This is the first description of the modeling and molecular dynamics analysis of four complete three-dimensional structures of E7 from high-risk types (HPV types 16 and 18), low risk (HPV type 11) and that not related to cervical cancer (HPV 01). The models were constructed by a hybrid approach using homology modeling and ab initio. The models were used in molecular dynamics simulations for 50 ns, under normal temperature and pressure. The intrinsic disorder of the E7 protein sequence was assessed using in silico tools. The N-terminal domains of all E7s, even the high-risks, showed secondary structures after modeling. In the trajectory analyzes of molecular dynamics, the E7s of HPV types 16 and 18 showed high instability in their N-terminal domains than those of HPV types 11 and 01, however, this variation did not affect the conformation of secondary structures during the simulation. The analysis with ANCHOR indicated that regions CR1 and CR2 regions of types of HPV 16 and 18 contain possible targets for drug discovery. The CR3 region of the C-terminal domain indicated stability by in silico analyzes and was therefore used as target to search for pharmacophoric models and \"docking\". The protein used as a model was the E7, from HPV type 45, constructed by analysis of nuclear magnetic resonance (NMR) and deposited in the protein data bank (ID: 2F8B). It was selected 19 compounds as potential candidates for E7 inhibitors (extracted from large libraries of small ligands) using sequential pharmacophore search, docking and re-docking analyzes. They were evaluated for their scoring function, maps of receptor-ligand interactions and toxicity and the best suited were indicated for future studies.

Un médicament, ou tout autre petite molécule biologique, agit sur l’organisme via des interactions chimiques qui se produisent avec d’autres macromolécules telles que les protéines qui régissent le fonctionnement des cellules. La détermination de l’ensemble des cibles, c’est à dire de l’ensemble des macromolécules susceptibles de lier une même molécule, est essentielle pour mieux comprendre les mécanismes moléculaires à l’origine des effets d’un médicament. Cette connaissance permettrait en effet de guider la conception d’un composé pour éviter au mieux les effets secondaires indésirables, ou au contraire découvrir de nouvelles applications à des molécules connues. Les avancées de la biologie structurale nous permettent maintenant d’avoir accès à un très grand nombre de structures tridimensionnelles de protéines impliquées dans ces interactions, ce qui motive l’utilisation d’outils in silico (informatique) pour complémenter ou guider les expériences in vitro ou in vivo plus longues et plus chères.La thèse s’inscrit dans le cadre d’une collaboration entre le laboratoire DAVID de l’Université de Versailles-Saint-Quentin, et l’entreprise Bionext SA qui propose une suite logicielle permettant de visualiser et d’étudier les interactions chimiques. Les travaux de recherches ont pour objectif de développer un algorithme permettant, à partir des données structurales des protéines, de déterminer des cibles potentielles pour un composé donné. L’approche choisie consiste à utiliser la connaissance d’une première interaction entre un composé et une protéine afin de rechercher par similarité d’autres protéines pour lesquelles on peut inférer la capacité à se lier avec le même composé. Il s’agit plus précisément de rechercher une similarité locale entre un motif donné, qui est la région permettant à la cible connue de lier le composé, et un ensemble de protéines candidates.Un algorithme a été développé, BioBind, qui utilise un modèle des surfaces des macromolécules issu de la théorie des formes alpha afin de modéliser la surface accessible ainsi qu’une topologie sur cette surface permettant la définition de régions en surface. Afin de traiter le problème de la recherche d’un motif en surface, une heuristique est utilisée consistant à définir des motifs réguliers qui sont une approximation de disques géodésiques et permettant un échantillonnage exhaustif à la surface des macromolécules. Ces régions circulaires sont alors étendues à l’ensemble du motif recherché afin de déterminer une mesure de similarité.Le problème de la prédiction de cibles est ramené à un problème de classification binaire, où il s’agit pour un ensemble de protéines données de déterminer lesquelles sont susceptibles d’interagir avec le composé considéré, par similarité avec la première cible connue. Cette formalisation permet d’étudier les performances de notre approche, ainsi que de la comparer avec d’autres approches sur différents jeux de données. Nous utilisons pour cela deux jeux de données issus de la littérature ainsi qu’un troisième développé spécifiquement pour cette problématique afin d’être plus représentatif des molécules pertinentes du point de vue pharmacologique, c’est-à-dire ayant des propriétés proches des médicaments. Notre approche se compare favorablement sur ces trois jeux de données par rapport à une autre approche de prédiction par similarité, et plus généralement notre analyse confirme que les approches par docking (amarrage) sont moins performantes que les approches par similarité pour le problème de la prédiction de cibles. / The action of a drug, or another small biomolecule, is induced by chemical interactions with other macromolecules such as proteins regulating the cell functions. The determination of the set of targets, the macromolecules that could bind the same small molecule, is essential in order to understand molecular mechanisms responsible for the effects of a drug. Indeed, this knowledge could help the drug design process so as to avoid side effects or to find new applications for known drugs. The advances of structural biology provides us with three-dimensional representations of many proteins involved in these interactions, motivating the use of in silico tools to complement or guide further in vitro or in vivo experiments which are both more expansive and time consuming.This research is conducted as part of a collaboration between the DAVID laboratory of the Versailles-Saint-Quentin University, and Bionext SA which offers a software suite to visualize and analyze chemical interactions between biological molecules. The objective is to design an algorithm to predict these interactions for a given compound, using the structures of potential targets. More precisely, starting from a known interaction between a drug and a protein, a new interaction can be inferred with another sufficiently similar protein. This approach consists in the search of a given pattern, the known binding site, across a collection of macromolecules.An algorithm was implemented, BioBind, which rely on a topological representation of the surface of the macromolecules based on the alpha shapes theory. Our surface representation allows to define a concept of region of any shape on the surface. In order to tackle the search of a given pattern region, a heuristic has been developed, consisting in the definition of regular region which is an approximation of a geodesic disk. This circular shape allows for an exhaustive sampling and fast comparison, and any circular region can then be extended to the actual pattern to provide a similarity evaluation with the query binding site.The target prediction problem is formalized as a binary classification problem, where a set of macromolecules is being separated between those predicted to interact and the others, based on their local similarity with the known target. With this point of view, classic metrics can be used to assess performance, and compare our approach with others. Three datasets were used, two of which were extracted from the literature and the other one was designed specifically for our problem emphasizing the pharmacological relevance of the chosen molecules. Our algorithm proves to be more efficient than another state-of-the-art similarity based approach, and our analysis confirms that docking software are not relevant for our target prediction problem when a first target is known, according to our metric.

La division bactérienne résulte de la constriction de la membrane, menée par la protéine du cytosquelette FtsZ, et de l’expansion et du remodelage de la paroi, réalisés par des synthétases et des hydrolases de la paroi. La coordination de ces processus au sein d’un macrocomplexe protéique, le divisome, est nécessaire au maintien de la forme et de l’intégrité bactérienne. J’ai étudié deux aspects importants de ce mécanisme de coordination chez le pathogène humain Streptococcus pneumoniae. J’ai déterminé in vivo la nanostructure de la protéine FtsZ en développant l’utilisation du PALM (PhotoActivated Localization Microscopy)chez le pneumocoque. Cette technique, basée sur la détection de molécules uniques et permettant une résolution de 20-40 nm, a révélé des aspects inattendus (dimensions, amas, sous-structures) de l’architecture de l’anneau de FtsZ au cours du cycle cellulaire. En parallèle, j’ai étudié le rôle de l’hydrolase Pmp23 par génétique, biochimie et microscopie à fluorescence. Mon travail a montré que Pmp23 est requise pour la stabilité des macrostructures du divisome du pneumocoque, révélant une nouvelle connexion entre le métabolisme de la paroi et la division cellulaire. / Bacterial division results from the combination of membrane constriction, driven by the cytoskeletal protein FtsZ, with cell wall expansion and remodeling, performed by cell wall synthases and hydrolases. Coordination of these processes within a large protein complex known as the divisome ensures cell integrity and maintenance of cell shape. I have investigated two important aspects of this coordination mechanism in the human pathogen Streptococcus pneumoniae. I determined the in vivo nanostructure of the divisome scaffolding protein FtsZ by developing the use of PhotoActivated Localization Microscopy (PALM) in the pneumococcus. PALM, which is based on the detection of single fluorescent labels and allows 20-40 nm resolution, has revealed unexpected features (dimensions, clusters, new substructures) of the FtsZ-ring architecture along the cell cycle. In parallel, I studied the role of the cell wall hydrolase Pmp23 using genetics, biochemistry and fluorescence microscopy. My work has shown that Pmp23 is required for the stability of divisome macrostructures in the pneumococcal cell, revealing a new connection between cell wall metabolism and cell division.

Controlling conformation of macromolecules, both in solution and solid state, has remained an exciting challenge till date as it confronts the entropy driven random coil conformation. Folded forms of biomacromolecules, like proteins and nucleic acids, have served as role-models to the scientists in terms of designing synthetic foldamers. The folded functional forms of proteins and nucleic acids have been shown to rely heavily on various factors, like directional hydrogen bonding, intrinsic conformational preferences of the backbone, solvation (e.g. hydrophobic effects), coulombic interactions, charge-transfer interactions, metal-ion complexation, etc. Chapter-1 discusses various designs of synthetic polymers explored by research groups world-over to emulate the exquisite conformational control exercised by biomacromolecular systems. Our laboratory has been extensively involved since 2004 in designing charge-transfer complexation induced folding of flexible donor-acceptor (DA) polymeric systems, such as those shown in Scheme 1. It was observed that such polymers adopt a folded conformation in polar solvents, like methanol, in the presence of an excess of an appropriate alkali metal ion. To explore folding in the solid state, Jonas and co-workers recently showed that a polyethylene-like polyester with long alkylene segments containing periodically located pendant propyl group forms a semicrystalline morphology with alternating crystalline and amorphous regions primarily because of the periodic folding of the backbone due to the steric exclusion of the propyl branches from the crystalline domains. In order to explore immiscibility-driven folding of polyethylene-like polyesters, Roy et al. designed a periodically grafted amphiphilic copolymer (PGAC) containing long alkylene segments (mimicking polyethylene) and pendant oligoethyleneglycol chains at periodic intervals (Scheme 2). Scheme 2: Proposed folding of a periodically grafted amphiphilic copolymer It was demonstrated that immiscibility between the hydrocarbon backbone and pendant PEG segments drives the polymer to adopt a folded zigzag conformation as shown in Scheme 2. The above synthetic strategy, however, does not permit easy structural variation of the side chain segments because the side-chain segment is covalently linked to the malonate monomer. In Chapter-2, a more general strategy to prepare periodically grafted copolymers has been described. In an effort to do so, we designed a series of clickable polyesters carrying propargyl/allyl functionality at regular intervals along the polymer backbone, as shown in Scheme 3. Scheme 3: Periodically clickable polyesters for the preparation of periodically grafted copolymers The polyesters were prepared by reacting either 2-propargyl-1,3-propanediol, 2,2-dipropargyl-1,3-propanediol or 2-allyl-2-propargyl-1,3-propanediol with an alkylene diacid chloride, namely 1,20-eicosanedioic acid chloride, under solution polycondensation conditions. Since these polyesters carry either, one propargyl, two propargyls or one propargyl and one allyl group on every repeat unit, it provides us an opportunity to synthesise exact graft copolymers with one side chain, two side chains or even two dissimilar side chains per repeat unit. In Chapter-3, the periodically clickable polyesters were reacted with MPEG-350 (PEG 350 monomethyl ether) azides using Cu(I) catalyzed azide-yne click reaction to generate periodically grafted amphiphilic copolymers (PGAC) carrying crystallizable hydrophobic backbone and pendant hydrophilic MPEG-350 side-chains (Scheme 4). Since the PGACs carry either one or two pendant MPEG-350 chains on every repeat unit, it allowed us to examine the effect of steric crowding on the crystallization propensity of the central alkylene segment. Scheme 4: Functionalization of periodically clickable polyesters with MPEG 350 azide by azide-yne click reaction From DSC studies, it was observed that increase in steric crowding at junctions resulting from increased side-chain volume hinders effective packing of the hydrocarbon backbone. As a result, both transition temperatures and the enthalpies associated with these transitions decreases. SAXS and AFM studies revealed the formation of lamellar morphology with alternate domains of PEG and hydrocarbon. Based on these observations, we proposed that self-segregation between hydrophobic backbone and hydrophilic side-chains induce the backbone to adopt a folded zigzag conformation (Scheme 5). Scheme 5: Schematic depiction of self-segregation induced folding of PGAC and their assembly on mica surface (AFM image) In order to study the effect of solvent polarity on conformational evolution of the periodically grafted amphiphilic copolymers, we randomly incorporated pyrene in the backbone of the polymer by reacting a small fraction (~ 5 mole %) of the propargyl groups with pyrene azide. Fluorescence study of the pyrene labelled polymer showed that increase in solvent polarity increases the intensity of the excimer band dramatically; this suggests the possible collapse of the polymer chain to the folded zigzag form. In an extension of this work, the PGAC was further used as template to synthesise layered silicates that appears to replicate the lamellar periodicity seen in the polymer. In order to study the effect of reversing the amphiphilicity on self-segregation, in Chapter-4, we synthesised a series of clickable polyesters carrying PEG segments of varying lengths, namely PEG 300, PEG 600 and PEG 1000, along the polymer backbone. The polymers were prepared by trans-esterification of 2-propargyl dihexylmalonate with different PEG-diols. These polyesters were then clicked with docosyl (C22) azide using Cu(I) catalyzed azide-yne click reaction to generate the desired periodically grafted amphiphilic polymers carrying crystallizable hydrophobic pendant chains at periodic intervals; the periodicity in this case was governed by the length of the PEG diols (Scheme 6). Scheme 6: PGACs carrying hydrophilic PEG backbone and crystallizable hydrophobic pendant docosyl chains Varying the average periodicity of grafting provided an opportunity to examine its consequences on the self-segregation behavior. Given the strong tendency of the pendant docosyl segments to crystallize, DSC studies proved useful to analyse the self-segregation; DOCOPEG 300 clearly exhibited the most effective self-segregation, whereas both DOCOPEG 600 and DOCOPEG 1000 showed weaker segregation. Based on the observations from DSC studies, we proposed that the PEG backbone adopts a hairpin like conformation (Scheme 7). Scheme 7: Proposed self-segregation through hairpin like conformation of backbone PEG segments In order to confirm the bulk morphology, we carried out small angle X-ray scattering (SAXS) and atomic force microscopic (AFM) studies. The SAXS profiles confirmed the observations from DSC studies, and only DOCOPEG 300 exhibited well-defined lamellar ordering. Thus, it is clear that the length of the backbone PEG segment (volume-fraction) strongly influences the morphology of the PGACs. Based on the inter-lamellar spacing from SAXS and the height measurements from AFM studies (Scheme 8), we proposed that these polymers form lamellar morphology through inter-digitation of the pendant docosyl side-chains. The observations from Chapters 3 and 4 suggested that the crystallization of the backbone has a dramatic effect on the conformation of the polymer backbone. In order to explore the possibility of independent crystallization of both backbone and pendant side-chains, the periodically clickable polyesters, described in Chapter-2, were quantitatively reacted with a fluoroalkyl azide, namely CF3(CF2)7CH2CH2N3 using Cu(I) catalyzed azide-yne click reaction; Chapter-5 describes these polyesters carrying long chain alkylene segments along the backbone and either one or two perfluoroalkyl segments located at periodic intervals along the polymer chain (Scheme 9). DSC thermograms of two of the samples showed two distinct endotherms associated with the melting of the individual domains, while the WAXS patterns confirm the existence of two separate peaks corresponding to the inter-chain distances within the crystalline lattices of the hydrocarbon (HC) and fluorocarbon (FC) domains; this confirmed the occurrence of independent crystallization of both the backbone and side chains. Scheme 10: Left-variation of SAXS profile of all three polymers as a function of temperature, Right- molecular modelling of representative FC-HC-FC triblock structures. Interestingly, a smectic-type liquid crystalline phase was observed at temperatures between the two melting transitions. SAXS data, on the other hand, revealed the formation of an extended lamellar morphology with alternating domains of HC and FC (Scheme 10). The inter-lamellar spacing calculated from SAXS matches reasonably well with those estimated from TEM images. Based on these observations, we proposed that the FC modified polymers adopt a folded zigzag conformation whereby the backbone alkylene (HC) segment becomes colocated at the center and is flanked by the perfluoroalkyl (FC) groups on either side, as depicted in Scheme 11. Melting of alternate HC domains first leads to the formation of a smectic-type liquid crystalline mesophase, wherein the crystalline FC domains retain the smectic ordering; this was confirmed by polarizing light microscopic observations. Scheme 11: Schematic presentation of self-segregation induced folding of polymer chains; and hence crystallization assisted assembly of these singly folded chains to form lamellar structure One interesting challenge would be to create unsymmetrical folded structures, wherein the top and bottom segments of the zigzag folded form would be occupied by two different segments, such as PEG and FC, whereas the backbone alkylene segment would form the central domain; this would lead to the possible formation of consecutive domains of PEG, HC and FC through immiscibility driven self-segregation process. In Chapter-6, several approaches to access such systems have been described; one such design that could have resulted in the successful synthesis of a periodically clickable polymer carrying orthogonally clickable propargyl and allyl groups along the backbone in an alternating fashion is depicted in (Scheme 12). The parent polyester was successfully synthesized and the propargyl group was first clicked with the FC-azide to yield the FC-clicked polyester; however, several attempts to click MPEG-SH onto the allyl groups using thiol-ene click reaction failed. Scheme 12: Scheme for the synthesis of alternating orthogonally clickable polymer In order to accomplish our final objective, we chose to first prepare the FC-clicked diacid chloride and polymerize it with an azide-alkyne clickable macro-diol, as depicted in Scheme 13; this approach was successful and yielded the desired clickable polyester bearing the FC segments at every alternate location. This polymer was then clicked with PEG-750 azide to yield the final targeted polymer that carries mutually immiscible FC and PEG-750 segments at alternating positions along the polymer backbone. The occurrence of self-segregation of FC, PEG-750 and the alkylene backbone (HC) was first examined by DSC studies, which appeared to suggest the presence of three peaks, although these were not very well-resolved. Scheme 13: Schematic for the synthesis of the polymer carrying FC and PEG 750 alternatingly along the backbone A schematic depiction of the anticipated organization of such unsymmetric folded macromolecules is shown in Scheme 15; it is evident that because of mutual immiscibility, the layers will be organized such that the FC domains of adjacent layers will be together and similarly the PEG domains of adjacent layers will also be together. Such an organization would lead to an estimated spacing that would correspond to a bilayer of the folded structures. Interestingly, SAXS study (Scheme 14) reveals the formation of lamellar morphology with a d-spacing of 14.6 nm. Scheme 14: Figure 6.10: SAXS profile of the polymer PE-FC-PEG 750 In order to gain an estimate of the expected inter-lamellar spacing, the end-to-end distance of a model repeat-unit was computed to be ~ 9.4 nm. It is, therefore, evident that the inter-lamellar spacing of 14.6 nm seen in the SAXS is significantly larger and must represent a bilayer type organization (Scheme 15). In this regard it is important to say that the organization of these alternatingly functionalized folded chains should give a variety of d-spacings. Because of highest electron density contrast of FC among PEG, HC and FC, we proposed that the d-spacing calculated from the SAXS profile corresponds to ‘d4’ in Scheme 15. This first demonstration of the formation of zigzag folded unsymmetric entities bearing dissimilar segments on either side of the folded chain holds exciting potential for a variety of different applications and beckons further investigations. Scheme 15: Schematic for the proposed self-assembly of the singly folded polymer chains

Molecular brushes of poly(2-oxazoline)s (POx) are an intriguing class of polymers as they combine a unique architecture with the properties of POx as a biomaterial. Here, the synthesis of several POx macromonomers with methacrylate end groups and consecutive grafting through polymerization by aqueous atom transfer radical polymerization (ATRP) at room temperature is reported. 1H-NMR spectroscopy and size exclusion chromatography (SEC) confirmed the synthesis of POx molecular brushes with maximum side chain grafting densities, narrow molar mass distributions (Đ ≤ 1.16) and final molar masses corresponding to the initial macromonomer : initiator ratio. Chain extension experiments show high end group fidelity and formation of block copolymer molecular brushes, and kinetic studies revealed a polymerization behavior of oligo(2-methyl-2-oxazoline) methacrylate very similar to the frequently used oligo(ethylene glycol) methacrylate (OEGMA475). Aqueous solutions of POx molecular brushes with poly(2-ethyl- and 2-isopropyl-2-oxazoline) side chains exhibit the typically defined thermoresponsive behavior with a tunable, very narrow and reversible phase transition

Surface engineering with polymer brushes has become one of the most versatile techniques to tailor surface properties of substrates for a broad variety of (bio-) technological applications. We report on a new facile approach to prepare defined and dense polymer brushes on planar substrates by surface-initiated Cu(0) mediated controlled radical polymerization (SI-CuCRP) of numerous vinyl monomers using a copper plate at room temperature. The fabrication of a variety of homo-, block, gradient and patterned polymer brushes as well as polymer brush arrays is demonstrated. The SI-CuCRP was found to be strictly surface-confined, of highly living character, proceeds remarkably fast and results in polymer brushes of very high grafting densities. The brush layer thickness can be modulated by the polymerization time or by the distance of the copper plate to the modified substrate. As the copper plate can be reused multiple times, no additional copper salts are added and only minimal amount of chemicals is needed, the simple and low-cost experimental conditions allows researchers from various fields to prepare tailored polymer brush surfaces for their needs.

X-ray crystallography is a technique for determining the structure (positions of atoms in space) of molecules. It is a well developed technique, and is applied routinely to both small inorganic and large organic molecules. However, the determination of the structures of large biological molecules by x-ray crystallography can still be an experimentally and computationally expensive task. The data in an x-ray experiment are the amplitudes of the Fourier transform of the electron density in the crystalline specimen. The structure determination problem in x-ray crystallography is therefore identical to a phase retrieval problem in image reconstruction, for which iterative transform algorithms are a common solution method. This thesis is concerned with iterative projection algorithms, a generalized and more powerful version of iterative transform algorithms, and their application to macromolecular x-ray crystallography. A detailed study is made of iterative projection algorithms, including their properties, convergence, and implementations. Two applications to macromolecular crystallography are then investigated. The first concerns reconstruction of binary image and the application of iterative projection algorithms to determining molecular envelopes from x-ray solvent contrast variation data. An effective method for determining molecular envelopes is developed. The second concerns the use of symmetry constraints and the application of iterative projection algorithms to ab initio determination of macromolecular structures from crystal diffraction data. The algorithm is tested on an icosahedral virus and a protein tetramer. The results indicate that ab initio phasing is feasible for structures containing 4-fold or 5-fold non-crystallographic symmetry using these algorithms if an estimate of the molecular envelope is available.