"September 2002" / Includes as appendix: a list of publications by the author arising from this work; and, copies of some published journal articles / Includes bibliographical references. / [12], 209 leaves, [35] pages : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Describes the synthesis, properties and reactions of transition metal complexes containing poly-ynyl ligands / Thesis (Ph.D.)--University of Adelaide, Dept. of Chemistry, 2002

Thesis (Ph. D.)--University of Oregon, 2001. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 163-175). Also available for download via the World Wide Web; free to University of Oregon users.

"September 2002" / Includes as appendix: a list of publications by the author arising from this work; and, copies of some published journal articles / Includes bibliographical references. / [12], 209 leaves, [35] pages : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Describes the synthesis, properties and reactions of transition metal complexes containing poly-ynyl ligands / Thesis (Ph.D.)--University of Adelaide, Dept. of Chemistry, 2002

Thesis (Ph. D.)--University of Missouri-Columbia, 2007. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on February 26, 2008) Vita. Includes bibliographical references.

Thesis (Ph.D.)--University of Adelaide, Dept. of Chemistry, 2002. / "September 2002" Includes as appendix: a list of publications by the author arising from this work; and, copies of some published journal articles. Includes bibliographical references.

Thesis (Ph.D.) - University of Queensland, 2004. / Includes bibliography.

Membrane rafts are highly dynamic heterogeneous sterol- and sphingolipid-rich micro-domains on cell surfaces. They are generally believed to provide residency for cell surface molecules (e.g., adhesion and signaling molecules) and scaffolding to facilitate the functions of these molecules such as membrane trafficking, receptor transport, cell signaling, and endocytosis. Using laser scanning confocal microscopy and reflection interference microscopy (RIM), we studied the spatial and temporal distributions of membrane rafts and surface receptors, signaling molecules, and cell organelles during the formation of phagocytic contact areas. K562 cells, which naturally express CD32A, a cell surface receptor for the Fc portion of Immuno-globulin g (IgG), was chosen as a model for neutrophils. An opsonized target was modeled using a glass supported lipid bilayer reconstituted with IgG. CD32A was found to cluster and co-localize with membrane rafts. Placing the K562 cells on the lipid bilayer triggered a process of contact area formation that includes binding between receptors and ligands, their recruitment to the contact area, a concurrent membrane raft movement to and concentration in the contact area, and transport of CD32A, IgG, and membrane rafts to the Golgi complex. Characterization of these processes was performed using agents known to disrupt detergent resistant membranes (DRMs), dissolve actin microfilaments, and inhibit myosin motor activity, which abolished the CD32A clusters and prevented the contact area formation. The relevance to phagocytosis of contact area formation between K562 cells and lipid bilayers was demonstrated using micro-beads coated with a lipid bilayer reconstituted with IgG as the opsonized target instead of the glass supported planar lipid bilayer. Disruption of membrane rafts, salvation of the actin cytoskeleton, and inhibition of myosin II activity were found to inhibit phagocytosis. Here we have provided evidence that membrane rafts serve as platforms that are used to pre-cluster CD32A and transport CD32A along the actin cytoskeleton to the site of phagocytic synapse formation, followed by internalization to the Golgi complex.

Low affinity Fcg receptor III (FcgRIII, CD16) triggers a variety of cellular events upon binding to the Fc portion of IgG. A real-time flow cytometry method was developed to measure the affinity and kinetics of such low affinity receptor/ligand interactions, which was shown as an easily operated yet powerful tool. Results revealed an unusual temperature dependence of reverse rate of CD16aTM dissociating from IgG. Except for a few studies using mammalian cell CD16s, most kinetics analyses use purified aglycosylated extracellular portion of the molecules, making it impossible to assess the importance of the receptor anchor and glycosylation on ligand binding. We used a micropipette adhesion frequency assay to demonstrate that the anchor length affects the forward rate and affinity of CD16s for IgG in a species specific manner, most likely through conformational changes. Receptor glycosylation dramatically reduced ligand binding by 100 folds. T cell receptor (TCR) is arguably the most important receptor in the adaptive human immune system. Together with coreceptor CD4 or CD8, TCR can discriminate different antigen peptides complexed with major histocompatibility complex (MHC) molecule (pMHC), which differ by as few as only one amino acid, and trigger different T cell responses. When T cell signaling was suppressed, TCR had similar affinity and kinetics for agonist and antagonist pMHC whose binding to CD8 was undetectable. TCR on activated T cell had a higher affinity for pMHCs, suggesting that TCRs organize themselves differently on activated T cells than on naïve T cells. In the absence of inhibitors for signaling, TCR binds agonist pMHC with several orders of magnitude higher affinity than antagonist pMHC. In addition, engagement of TCR by pMHC signals an upregulation of CD8 binding to pMHC, which is much stronger than the TCR-pMHC binding. The transition from weak TCR binding to the strong CD8 binding takes place around 0.75 second after TCR in contact with pMHC and can be reduced by several inhibitors of tyrosine and lipid phosphorylation, membrane rafts, and actin cytoskeleton. These results provide new insights to understanding T cell discrimination.

This work describes the results of experimental study of the flow of soft objects (microgels) through microchannels. This work was carried with the intention of building a fundamental biophysical model for the flow of neutrophil cells in microcirculatory system. In Chapter 1 we give a summary of the literature describing the flow of cells and “model cells” in microchannels. Paramount to this we developed methods to modify microchannels fabricated in poly(dimethyl siloxane) (PDMS). Originally, these microchannels could not be used to mimic biological microenvironments because they are hydrophobic and have rectangular cross-sections. We designed a method to create durable protein coatings in PDMS microchannels, as outlined in Chapter 3. Surface modification of the channels was accomplished by a two-step approach which included (i) the site-specific photografting of a layer of poly(acrylamide) (PAAm) to the PDMS surface and (ii) the bioconjugation of PAAm with the desired protein. This method is compatible with different channel geometries and it exhibits excellent longevity under shear stresses up to 1 dyn/cm. The modification was proven to be successful for various proteins of various molecular weights and does not affect protein activity. The microchannels were further modified by modifying the cross-sections in order to replicate cardiovascular flow conditions. In our work, we transformed the rectangular cross-sections into circular corss-sections. Microchannels were modified by polymerizing a liquid silicone oligomer around a gas stream coaxially introduced into the channel, as outlined in Chapter 3. We demonstrated the ability to control the diameter of circular cross-sections of microchannels. The flow behaviour of microgels in microchannels was studied in a series of experiments aimed at studying microgel flow (i) under electrostatic interactions (Chapter 4), (ii) binding of proteins attached to the microgel and the microchannel (Chapter 5) and (iii) under the conditions of varying channel geometry (Chapter 6). This work overall present’s new methods to study the flow of soft objects such as cells, in the confined geometries of microchannels. Using these methods, variables can be independently probed and analyzed.

A modelagem das interações entre macromoléculas e ligantes ainda se depara com diversos desafios na área de desenho de fármacos assistidos por computador. Apesar do crescimento da área, temas como a flexibilidade do receptor, funções de pontuação e solvatação ainda têm sido alvo de intensa investigação na comunidade científica. Com o objetivo de analisar a interação em milhares ou milhões de complexos, é imprescindível uma boa harmonização entre o custo computacional e a acurácia dos métodos computacionais que permitem a classificação de ligantes de acordo com a energia de interação. O LiBELa (Ligand Binding Energy Landscape) é um programa de docagem molecular com abordagem híbrida, ou seja, utiliza informações do ligante e do receptor durante o processo de docagem. Inicialmente, as características estéricas e eletrostáticas de um ligante de referência (cristalográfico, por exemplo) são utilizadas nos cálculos de similaridade e sobreposição, obtendo assim uma conformação inicial pré-otimizada do ligante testado. Em seguida, a energia de interação é minimizada no sítio ativo de receptor a partir de potenciais energéticos. Quatro funções de pontuação baseadas em campo de força foram testadas e otimizadas, compostas por potenciais de van der Waals, de Coulomb, e uma função empírica de solvatação denominada função de Stouten-Verkhivker (SV). A flexibilidade do sistema foi tratada através da geração de confôrmeros que amostram os graus de liberdade dos ligantes descritos como semi-rígidos e através de potenciais atenuados que suavizam a superfície de energia de interação, permitindo interações em distâncias interatômicas antes repulsivas. Como ponto de partida, os métodos implementados no programa LiBELa demonstraram resultados satisfatórios nos testes de cross- e self-docking, mostrando ser uma ferramenta eficiente em encontrar os modos de ligação cristalográficos de forma equivalente ou até melhor às dos programas comparados. Através de testes de enriquecimento nos conjuntos de dados DUD, DUDE e CM-DUD, foram otimizadas de forma sistemática as constantes dielétrica, do termo de solvatação, e dos termos de atenuação. Também foi realizado um paralelo entre as funções de pontuação, incluindo a atenuação e o termo de solvatação. Estes mesmos testes mostraram resultados superiores do LiBELa de 39% e 15% em comparação com um programa baseado puramente no receptor (DOCK 6.6), relativo à média da área sob a curva em escala semi-logarítmica nas bases de dados DUDE e DUD respectivamente. Apesar da função de solvatação SV implementada no LiBELa apresentar boa correlação com dados experimentais (r=0,72) e com o modelo Zou GB de solvatação (r=0,88), não apresentou correlação significativa com os métodos GB e PB implementados no pacote de programas disponível no AmberTools. Comparadas às funções de pontuação do LiBELa, as funções com correção para solvatação apresentaram pior enriquecimento, salvo alguns alvos específicos. Por fim, foram realizados ensaios de docagem molecular utilizando como alvo uma enzima β-galactosidase da família GH42, cuja estrutura fora resolvida em nosso grupo. Os resultados permitiram conclusões acerca de como o modo de ligação interfere na preferência de ligação entre dissacarídeos de ligações glicosídicas distintas, consistentes com dados experimentais de ensaios cinéticos de ligação. / Modeling the interactions between macromolecules and ligands still faces several challenges in the computer-aided drug design area. Despite the growth in the area, subjects such as receptor flexibility, scoring functions and solvation still have been widely explored in the scientific community. In order to analyze the interaction for thousands or millions of complexes, a good harmonization between the computational cost and the accuracy of the calculation methods in molecular docking programs is essential. LiBELa (Ligand Binding Energy Landscape) is a hybrid approach program that uses both ligand and receptor information for ligand docking. Initially, the steric and electrostatic characteristics from a reference binder (crystallographic, for example) are used to similarity and overlay calculations, thus obtaining an initial conformation of the ligand tested. Then, within the receptor´s active site, the interaction energy is minimized using energetic potentials. Four force field-based scoring functions were tested and optimized, composed of van der Waals and Coulomb potentials and an empirical solvation function called Stouten-Verkhivker (SV). Concerning the system flexibility, besides the confomers generation that sample the degrees of freedom for semi-rigid ligands, attenuated potentials smooth the energy surface allowing interactions between previously repulsive interatomic distances. As a starting point, LiBELa performed satisfactorily in the cross- and self-docking tests, showing that is an eficient tool to reproduce crystallographic binding modes equivalently to or even better than reference programs. Through enrichment of DUD, DUDE and CM-DUD datasets, the dielectric constant, solvation and softening terms were systematically optimized. It also allowed a parallel between scoring functions, including attenuation and solvation term. Finally, it revealed the LiBELa showed an enhancement of 39% and 15% as compared to the purely receptor-based program DOCK 6.6, relative to the mean of the area under the curve on a semi-logarithmic scale in the DUDE and DUD databases respectively. Although the SV solvation function implemented in LiBELa showed good correlations with experimental data (r = 0.72) and with the Zou GB / SA solvation method implemented in DOCK6 (r = 0.88), it did not show significant correlation with the GB/SA and PB/SA methods implemented in AmberTools. Comparing all the LiBELa tested scoring functions, those including solvation correction showed worse enrichments, except for some specific targets. Finally, molecular docking experiments using LiBELa were conducted with a β-galactosidase from GH42 family, whose structure was solved in our group. The results allowed conclusions concerning how the binding mode interferes the preference for some disaccharides of distinct glycosidic bonds, consistent with experimental data from kinetic assays.