We demonstrate a new approach for fabricating alternating current driven organic electroluminescent devices using the concept of doping in organic semiconductors. Doped charge transport layers are used for generation of charge carriers within the device, hence eliminating the need for injecting charge carriers from external electrodes. The device is an organic-inorganic hybrid: We exploit the mechanical strength and chemical stability of inorganic semiconductors and combine it with better optical properties of organic materials whose emission color can be chemically tuned so that it covers the entire visible spectrum. The device consists of an organic electroluminescence (EL) layer composed of unipolar/ambipolar charge transport materials doped with organic dyes (10 wt% ) as well as molecularly doped charge generation layers enclosed between a pair of transparent insulating metal oxide layers. A transparent indium doped tin oxide (ITO) layer acts as bottom electrode for light outcoupling and Aluminium (Al) as top reflective electrode. The electrodes are for applying field across the device and to charge the device, instead of injection of charge carriers in case of direct current (DC) devices. Bright luminance of up to 5000 cd m-2 is observed when the device is driven with an alternating current (AC) bias. The luminance observed is attributed to charge carrier generation and recombination, leading to formation of excitons within the device, without injection of charge carriers through external electrodes.

The debilitating effects of spinal cord injury can be attributed to a lack of regeneration in the central nervous system. Identification of growth-promoting pathways, particularly ones that can be controlled by small molecules, could provide significant advancements in regenerative science and lead to potential treatments for spinal cord injury. The biological investigations of neuroregenerative small molecules, specifically the natural products clovanemagnolol and vinaxanthone, have been expanded to a whole organism context using the nematode Caenorhabditis elegans (C. elegans) as a tool for these studies. A straightforward assay using C. elegans was developed to screen for compounds that promote neuronal outgrowth in vivo. This outgrowth assay was then used to guide the design of chemically edited analogs of clovanemagnolol that maintained biological activity while possessing structures amenable to further modification for mechanism of action studies. Pull-down experiments using affinity reagents synthesized from a neuroactive structural derivative, clovanebisphenol, and the C. elegans proteome combined with mass spectrometry-based protein identification and genetic recapitulation using mutant C. elegans identified the putative protein target of the small molecule as a kinesin light chain, KLC-1. Furthermore, the small molecule-promoted regeneration of injured neurons in vivo was studied using laser microsurgery to cut specific axons in C. elegans followed by treatment with a library of analogs of the growth-promoting natural product vinaxanthone. Enhanced axonal regeneration was observed following small molecule treatment and the results were used to determine the structure-activity relationship of vinaxanthone, which may guide future development of potential drug candidates for the treatment of spinal cord injury. / text

No description available.

The main focus of this project was to optimize a protocol for small molecule ligand co-purification from an in-vivo tissue source. For this purpose, I employed a transgenic zebrafish line called the pLT-gypsy, which expresses a fusion protein containing a tagged-NR LBD (Tiefenbach et al., 2010). The particular line I used to optimize the ligand identification protocol is the pLT-PPARγ zebrafish line, which expresses the tagged-PPARγ receptor's LBD (also called PPARγ-fusion protein). By using rosiglitazone (a known PPARγ ligand) as a positive control, I managed to optimize a protocol to purify the PPARγ-fusion protein and identify the co-purified ligand by mass spectrometry. This protocol can be used to identify the physiological/endogenous ligand for the PPARγ receptor as well as other orphan NRs. Compared to previous methods of ligand identification, this method allows for the identification of the ligand from the tissues where it is functional.

The main focus of this project was to optimize a protocol for small molecule ligand co-purification from an in-vivo tissue source. For this purpose, I employed a transgenic zebrafish line called the pLT-gypsy, which expresses a fusion protein containing a tagged-NR LBD (Tiefenbach et al., 2010). The particular line I used to optimize the ligand identification protocol is the pLT-PPARγ zebrafish line, which expresses the tagged-PPARγ receptor's LBD (also called PPARγ-fusion protein). By using rosiglitazone (a known PPARγ ligand) as a positive control, I managed to optimize a protocol to purify the PPARγ-fusion protein and identify the co-purified ligand by mass spectrometry. This protocol can be used to identify the physiological/endogenous ligand for the PPARγ receptor as well as other orphan NRs. Compared to previous methods of ligand identification, this method allows for the identification of the ligand from the tissues where it is functional.

This thesis is concerned with the photophysical and nonlinear optical responses, and applications of a set of conjugated polymers and small molecules in the visible and near-IR spectral regions. Poly(phenylene ethynylene) PPE polymers were substituted with conjugated side-arms in a cruciform fashion to determine the impacts of electronic coupling on the one-photon (1PA), two-photon (2PA), and excited state absorption (ESA) properties of the co-polymer system. The cruciform-like PPEs showed significant changes in their nonlinear and phophysical behavior relative to their linear models, including shifts and splittings of the 1PA bands due to moderate mixing of the lowest singlet excited states, an increase in the 2PA cross section (δ) values, and an increase in the yield of triplet excited-state species. The cruciform-like PPE polymers exhibited effective optical pulse suppression of femtosecond and nanosecond laser pulses over a broad spectral range of ~200 nm in the visible and near-IR. The suppression capability of the cruciform-like PPEs exceeded the best reported value for alkyl-substituted PPE polymers. The spectroscopic effects due to conjugation length, structural configuration, and intramolecular charge transfer (ICT) are discussed for a family of bent donor-acceptor-donor (D-A-D) -type conjugated oligomers, which incorporate electron-rich triarylamine donors and electron-deficient triarylborane acceptor units into its conjugated structure. These organoborane oligomers are highly fluorescent and exhibit strong 2PA in the visible region with δ values as large as 1410 GM, as well as overlapping ESA bands attributed to singlet-singlet and triplet-triplet absorption. Saturation of the molar absorptivity, ε, and δ was observed at less than two repeat monomer units due to conformational disorder in the oligomer with increasing length. Positive solvatochromism of fluorescence with solvent shifts as large as ~70 nm was observed as a result of ICT from the arylamine donors to boryl-centered acceptor sites. The excited-state dynamics also show sensitivity to the solvent environment. Experimental findings suggest that these organoborane oligomers may have potential use as nonlinear material for optical power limiting (OPL) and two-photon sensing applications. The spectral properties of two bis-donor chromophores, (bis(diarylamino)biphenyl (TPD) and distyrylthiophene (DST), were investigated with and without the presence of AgNPs in order to better understand the local-field enhancement and subsequent effects on the photophysics and nonlinear behavior of 2PA dyes. While little changes were observed in the excited-state dynamics, measurements of nanoparticle aggregate-dye composite solutions with TPD revealed a 1.6-enhancement in the two-photon excited fluorescence signal. OPL measurements of nanosecond laser pulses at 532 nm revealed a reduction in threshold energy by a factor of 2 in solutions containing TPD and AgNP aggregates, relative to solutions of TPD alone. DST shows exceptional solubility (>1 M) in several organic solvents and exhibits a 2PA spectrum that overlaps well with its singlet-singlet and triplet-triplet ESA bands. Consequently, DST exhibits effective optical limiting of nanosecond laser pulses through two-photon induced excited-state absorption over a broad spectral range of approximately 200 nm in the red and near-IR.

La détection de petites molécules est d'un grand intérêt dans les domaines pharmaceutique, environnemental, alimentaire et de la biologie clinique. Les aptamères, sélectionnés par la méthode SELEX (pour Systematic Evolution of Ligands by Exponential Enrichment), sont des oligonucléotides qui se lient à une cible donnée avec une affinité et une spécificité importantes. L'objectif de ce travail est d'établir de nouvelles méthodologies analytiques basées sur l'utilisation des aptamères pour la détection de petites molécules. Dans un premier temps, une méthodologie par électrophorèse capillaire, dérivée du concept de déplacement du brin complémentaire de l'aptamère, est décrite pour la détection simultanée de plusieurs analytes dans un seul capillaire. La deuxième étude se focalise sur le développement d'un aptacapteur colorimétrique simple, rapide et peu coûteux, qui utilise le concept général de protection enzymatique de l'aptamère et les nanoparticules d'or en tant que système de transduction. Enfin, deux méthodes par polarisation de fluorescence, basées sur le concept de déplacement (du brin complémentaire ou de l'aptamère lui-même), sont présentées afin d'accroitre les potentialités des aptacapteurs dédiés à la détection des petites molécules. / Small biomolecule detection is of great interest and importance in the pharmaceutical, environmental, food and clinical fields. Aptamers, selected by SELEX (Systematic Evolution of Ligands by Exponential Enrichment), are oligonucleotides that bind to a target with high affinity and specificity. The objective of the work is to establish novel methodologies of aptamer-based assays for the small biomolecule detection. In the first work, a rationalized capillary electrophoresis strategy, derived from the structure-switching aptamer concept, is described for the design of simultaneous detection of multiple analytes. The second work based on a gold nanoparticle colorimetric sensing strategy allows a rapid, label-free, homogeneous assay for small molecule using an aptamer enzymatic cleavage protection strategy. In the third work, two aptamer-based fluorescence polarization approaches, using the displacement concept, are described to improve the potentialities of the small molecule-dedicated aptasensors.

O presente trabalho tem como dupla finalidade a determinação de algumas estruturas moleculares inéditas e o desenvolvimento de dois sistemas computacionais de uso em cristalografia. Primeiramente, determinamos quatro estruturas moleculares de complexos de ácido piridinacarboxílico ligados a íons metálicos (Co, Ni, Cu e Zn), os quais apresentam interesse farmacológico e se enquadram em uma das linhas de pesquisa do grupo de Cristalografia de São Carlos. Nesta Dissertação, a ênfase dada a esta parte do trabalho é a aprendizagem das técnicas relativamente complexas para a resolução e refinamento de estruturas moleculares obtidas através de difração de raios X, como uma motivação preliminar para o subseqüente trabalho computacional. Com relação ao desenvolvimento de sistemas computacionais, são apresentados dois programas que representam importantes ferramentas cristalográficas. O Xandrix realiza todos os cálculos matriciais necessários em transformações cristalográficas, tanto no espaço real como no recíproco, envolvendo tensores de até segunda ordem. O WinKabsch é uma implementação do algoritmo de Kabsch que melhor sobrepõe, utilizando mínimos quadrados, dois conjuntos de vetores e é usado para comparar moléculas inteiras ou fragmentos. Ambos foram desenvolvidos para ambiente Windows, oferecendo uma interface visual poderosa e amigável. O WinKabsch permite que o usuário gire, visualmente, duas moléculas dadas de maneira que elas se posicionem em orientações similares, para então selecionar, com o mouse, alguns átomos homólogos a partir dos quais é obtida uma primeira matriz de transformação. A seguir, o programa reconhece todos os outros pares de átomos homólogos para os cálculos finais. A transformação pode ser forçada a ser uma rotação própria quando as moléculas comparadas são suspeitas de possuir a mesma quiralidade. / This work has the two-fold purpose of determining a few novel crystal structures and to develop two computational systems for crystallographic use. First, we determined four molecular structures of complexes of a derivative of the pyridinacarboxilic acid with a metal ion (Co, Ni, Cu and Zn), which are of pharmacological interest and belong to one of the research lines of the group. In the present contribution the emphasis of these studies is in mastering the somewhat involved techniques for solving and refining molecular structures by X-ray diffraction, as a preliminary motivation for the subsequent computational work. Second, two programs which turn out to be useful tools for crystallographic work were developed. Xandrix, permits all matrix calculations necessary in crystallography transformations, both in real and reciprocal space, involving tensors up to the second rank. WinKabsch is an implementation of the Kabsch algorithm for the best least squares superposition of two sets of vectors and is used to compare molecules or molecular fragments. Both programs were developed to run in a Windows environment with a powerful and friendly visual interface. WinKabsch allows the user to visually rotate two given molecules to achieve similar orientations to perform later a mouse selection of a few homologous atoms from which a first orthogonal transformation matrix is obtained, after which the program recognizes all other pairs of homologous atoms for the final calculation. The transformation may be forced to be a proper rotation when the compared molecules are known to be of the same chirality.

Le criblage virtuel est de plus en plus utilisé dans les programmes de recherche de nouveaux principes actifs. L’augmentation considérable du nombre de structures résolues a favorisé le recours aux méthodes basées sur la structure de la cible comme le docking. Néanmoins, le choix de la/des structure(s) à utiliser demeure une question d’actualité. Pour tenter d'apporter une réponse, les résultats des études de docking menées sur la banque d’évaluation de référence (DUD) ont été analysés en prenant en compte les propriétés des sites de liaisons des structures de référence. D’intéressants résultats ont été obtenus mettant en évidence l'influence du volume et de l’ouverture des sites actifs sur les performances des méthodes. Ces critères de sélection simples et peu coûteux peuvent servir pour l’optimisation de protocoles de docking.Alors qu’aucune petite molécule inhibitrice du TNFα n’est actuellement commercialisée, l’application d’un protocole hiérarchique de criblage virtuel/in vitro, a permis d’identifier des touches actives. L’une d’elle, de squelette benzènesulfonamide a fait l’objet de pharmacomodulation en vue d’obtenir des analogues optimisés. Vingt molécules inédites ont été synthétisées et testées in vitro et certaines ont montré une activité intéressante. L’ensemble des données obtenues apportent des éléments importants de relation structure-activité. Ces résultats peuvent être exploités pour la conception de molécules innovantes ciblant le TNFα ce qui serait une avancée prometteuse pour le traitement des pathologies liées à une surproduction de cette cytokine comme la polyarthrite rhumatoïde et la maladie de Crohn. / Virtual screening is widely used in drug discovery programs. The increasing number of resolved structures favored the use of Structure Based Virtual Ligand Screening methods like docking. Nevertheless, the choice of the structure(s) used as reference remains a topical issue when several are available. In this work, DUD database docking results were analyzed taking into account the properties of the query structure(s) binding sites. Interesting results were obtained highlighting the influence of active site volume and opening on methods performances. These simple and inexpensive “binding site properties-based” guidelines could be helpful to optimize future docking protocols.Despite important effort, no active small molecule targeting TNFα has been released so far. The use of a virtual/ in vitro hierarchical approach screening allowed identifying some active hits. Starting from one of them with a benzenesulfonamide structure, pharmacomodulation was achieved in order to obtain optimized analogs. Twenty new chemical derivatives with an original structure were synthesized and tested in vitro. Some of them exhibited an interesting activity. Moreover, data obtained provide important elements of structure-activity relationship. These results could constitute the basis for innovative small molecule TNFα-targeted therapeutics which would be a promising step for the treatment of diseases related to overproduction of this cytokine such as rheumatoid arthritis and Crohn's disease.

Deciphering the activity of chemical molecules against a pathogenic organism is an essential task in drug discovery process. Virtual screening, in which few plausible molecules are selected from a large set for further processing using computational methods, has become an integral part and complements the expensive and time-consuming in vivo and in vitro experiments. To this end, it is essential to extract certain features from molecules which in the one hand are relevant to the biological activity under consideration, and on the other are suitable for designing fast and robust algorithms. The features/representations are derived either from physicochemical properties or their structures in numerical form and are known as descriptors. In this work we develop two new molecular-fragment descriptors based on the critical analysis of existing descriptors. This development is primarily guided by the notion of coding degeneracy, and the ordering induced by the descriptor on the fragments. One of these descriptors is derived based on the simple graph representation of the molecule, and attempts to encode topological feature or the connectivity pattern in a hierarchical way without discriminating atom or bond types. Second descriptor extends the first one by weighing the atoms (vertices) in consideration with the bonding pattern, valence state and type of the atom. Further, the usefulness of these indices is tested by ranking and classifying molecules in two previously studied large heterogeneous data sets with regard to their anti-tubercular and other bacterial activity. This is achieved by developing a scoring function based on clustering using these new descriptors. Clusters are obtained by ordering the descriptors of training set molecules, and identifying the regions which are (almost) exclusively coming from active/inactive molecules. To test the activity of a new molecule, overlap of its descriptors in those cluster (interpolation) is weighted. Our results are found to be superior compared to previous studies: we obtained better classification performance by using only structural information while previous studies used both structural features and some physicochemical parameters. This makes our model simple, more interpretable and less vulnerable to statistical problems like chance correlation and over fitting. With focus on predictive modeling, we have carried out rigorous statistical validation. New descriptors utilize primarily the topological information in a hierarchical way. This can have significant implications in the design of new bioactive molecules (inverse QSAR, combinatorial library design) which is plagued by combinatorial explosion due to use of large number of descriptors. While the combinatorial generation of molecules with desirable properties is still a problem to be satisfactorily solved, our model has potential to reduce the number of degrees of freedom, thereby reducing the complexity.