X-ray crystallography is a widely used analytical technique for the structure solution of small molecules. Since the determination of the rock salt structure in 1913 by Henry and Lawrence Bragg the technique has developed allowing the solution of larger and more complex structures. The information that can be determined about these structures has increased as X-ray sources, detectors, and computational methods have improved. However, certain properties of molecules cannot always be directly determined from single wavelength X-ray diffraction. These include, inter alia: the site specific oxidation or spin state of an element in compounds where more than one state of the same element exist; discrimination between consecutive heavy elements in the periodic table. As the size of molecules being studied increases, reduced data resolution also becomes a problem. The aim of this research was to determine whether these problems can be addressed by measuring the changing anomalous scattering contribution of heavy atoms within structure through careful selection of the X-ray energy. Firstly, I report an investigation into the problemof discriminating oxidation state, spin state and elements of near identical scattering by exploiting their anomalous signal. I first present DetOx, a program written during the course of the project to deconvolute the fluorescence signal from materials containing more than one state of the same element into their respective spectra. This allows the calculation of anomalous scattering factors for both atomic states of an atom, which can subsequently be used to refine the occupancy of the different states at ambiguous sites within the crystal structure. The approach taken here, to determine differences due to relatively small anomalous signals, is analogous to the refinement of the Flack parameter whereby small changes in many hundreds or thousands of observations can be used to fit a parameter with a high degree of precision and accuracy. I show the application of this technique to the mixed oxidation state compound, GaCl₂, and the two-step spin crossover material, Fe(btr)₃(ClO₄)₂. Refinement of the occupancy of charged ions on multiple sites using data at a single, carefully selected wavelength proved successful for these compounds, although upon extension to materials containing a larger number of anomalous scatterers, the absorption became a major issue in the data along with problems associated with simultaneously refining occupancies at more sites in the structure. We have demonstrated that calculations can be made to select specific experimental data to collect in order to improve the measured signal. However, due to limitation of the current collision model on the diffractometer used we have not yet been able to construct data collection strategies to take advantage of this. I next present a new ratio refinement technique to overcome this absorption problem due to the increased number of scatterers. By using ratios between datasets close in energy, but below the absorption edge, we were able to exploit small changes in f' without encountering absorption problems associated with the increase in f''. These ratio values were then refined against a lab structure using a modified version of CRYSTALS to reveal the site specific occupancies of different atomic species within a given structure. For mixed-valence compounds, e.g. Mn₃ and Mn₆ clusters, the difference in anomalous signal between the different states proved too small for a stable least-squares refinement solution. However, we have shown that using a simulated annealing algorithm (to refine only occupancies), we can consistently obtain the expected structure. For mixed-metal structures e.g. the Mn₅Co₄ cluster, there was enough contrast in the data to refine occupancies with a least-squares approach, and these results were supported using simulated annealing. Lastly, I describe the application of structure solution techniques based on methods used in macromolecular crystallography to 'large' small molecules. Traditionally these have been reserved for non-centrosymmetric protein structures, however with the trend of synthesising larger and larger small molecules, problems encountered in macromolecular crystallography leading to low resolution datasets are becoming increasingly common. I have shown that it is possible to solve the structure of centrosymmetric structures by exploiting the anomalous signal in multiple wavelength diffraction experiments. The technique is applied successfully to two relatively small molecules, however the results are promising for moving to larger structures in the future.

<div><div><div><p>The chemistry of the f-block is relatively unknown when compared to the rest of the periodic table. Transition metals and main group elements have enjoyed thorough study and development over the last 200 years, while many of the lanthanides and actinides weren’t even discovered until the 1940’s. This is troublesome, as knowledge of these elements is critical for environmental, industrial and technological advances. Understanding bonding motifs and reactivity pathways is fundamental to advancing the field of f-block chemistry. The use of redox- active ligands has aided in the construction of new bonding modes and discovery of new reaction pathways by providing electrons for these transformations. A particularly successful partnership is formed when redox-active ligands are combined with lanthanides, as these elements are usually considered redox-restricted. A series of lanthanide complexes featuring the iminoquinone ligand in three oxidation states will be discussed. The use of the ligands as a source of electrons for reactivity is also described, with new bonding motifs for lanthanides being realized. The iminoquinone ligand can also serve to break bonds. The uranyl (UO22+) ion is notoriously difficult to handle due to its strong U-O multiple bonds. To overcome this, we developed a series of uranyl complexes and studied the ability of the iminoquinone ligand to serve as an electron source for reduction of uranium, with concomitant U-O bond cleavage.</p></div></div></div>

Grätzel cells are liquid-electrolyte photoelectrochemical cells that contain dyesensitised titania electrodes. The sensitiser is typically an organic species that absorbs visible light and increases the spectral region in which Grätzel cells may produce electricity. A key feature in the success of Grätzel cells is the high surface area of nanostructured titania electrodes. In this study, the nanostructuring of titania has been explored by two complementary methods: templation and self-assembly. The templation of silica colloidal crystals (opals) was chosen as an inverse opal of titania would display a porous, bicontinuous structure in addition to a photonic bandgap. A diverse variety of titania inverse opals was produced, ranging from ideal ‘honeycomb’ to non-ideal ‘grape-like’ morphologies. However, the fragility of the material and difficulties in reproduction meant that the testing of such electrodes within Grätzel cells was limited. Study towards the formation of a nanoparticle superlattice of titania via chemically assisted self-assembly involved the investigation of both nanostructured titania surfaces and dye adsorption. The mode of dye binding to titania and the stability of adsorbed dyes was studied to aid work toward the design of a self-assembled titania superlattice, as well as to assist in the analysis of dye performance in Grätzel cells. Crystalline, aggregated titania and amorphous, dispersible titania was produced for dye binding studies of small organic carboxylic acid dyes. It was found that while dyes are adsorbed and intimately associated with titania, the mode of dye binding is different on a dry electrode than upon dispersed and solvated titania. The dyes appear to be bound to titania in a carboxylate form in the dry state, but in a mode that closer resembles that of the native dye upon dispersed titania.

Extended aqueous systems, crystalline ice and liquid water, are studied computationally to investigate their ground state and excited state properties. Methods from solid state physics and quantum chemistry are combined to shed light on some of the unusual properties of water and ice. For the ground state of crystalline ice, density functional theory (DFT) calculations are compared to an ab initio incremental ansatz that utilizes periodic Hartree-Fock together with localized electron correlation calculations. It is shown that the many-body decomposition of the electron correlation converges very fast, allowing the achievement of excellent agreement with experimental data even when limiting correlation energy contributions to two-body terms only. The incremental method is utilized by a computer program that combines the periodic and localized calculations, and allows for structural optimization of the system of interest. The adsorption of water molecules on the surface of ice is studied using DFT. Adsorption is found to be favoured on non-crystallographic adsorption sites, and a slight tendency towards the formation of rough surfaces is reported. The localization of excess electrons at the surface of ice is facilitated by coadsorbed water molecules. For a correct theoretical description of the latter, a self-interaction correction scheme for the excess electron has to be used. However, it is sufficient to limit the self-interaction correction to the excess electron only, since the neutral ice surface itself is well described within conventional DFT. The self-interaction correction scheme is incorporated into a commonly used DFT program package. Optical excitations of crystalline ice are calculated using many-body perturbation theory. Solving the two-particle Bethe-Salpeter equation yields optical spectra in excellent agreement with experimental data. Based on this agreement, an embedding model is developed that reduces the hydrogen bond network to its most important contribution. The model is applied to crystalline ice, where it reproduces the experimental spectral features, and to microscopic liquid water structures obtained from molecular dynamics simulations, where it reproduces the energy shift of the first absorption peak and gives overall good agreement with experiment. The driving force of water’s anomalous optical behaviour is identified.

This dissertation reports a study of the dissolution mechanism which governs the leaching of Cu from chalcopyrite (CuFeS2) in acidic media at atmospheric pressure and examines the differences between chemical (abiotic), leaching and bioleaching. An array of solution, solid surface and bulk speciation studies were used to make a comprehensive study of the CuFeS2 leaching process(es). / Thesis (PhD)--University of South Australia, 2008.

The work described in this thesis involves the study of weak interactions by NMR spectroscopy and using them to develop novel applications. The two different applications chosen are i) using molecular interactions for chiral discrimination and ii) understanding the nature of the interaction between peptide and nanoparticles to develop potent antibacterial agents. The thesis, which is divided into five chapters starts with a general introduction of NMR spectroscopy for the study of molecular interactions in conjunction with other techniques. The remaining four chapters focus on four different areas/projects that I have worked on. Chapter 1: Introduction This chapter reviews different kinds of molecular interactions along with the introduction to NMR spectroscopy and other techniques used for all the studies. Starting with the application of chiral discrimination the chapter proceeds to the general introduction of antimicrobial peptides, silver nanoparticles and the strategy for peptide resonance assignment. Chapter 2: Chiral discrimination for versatile functionalities There are many chiral agents available for discriminating enantiomers which mainly target specific functional groups. In this study, we have explored a strategy involving ternary complexation to investigate chiral discrimination of different kind of functional groups by NMR spectroscopy. The proposed protocol was employed for the enantiodiscrimination of molecules containing functional groups, such as amino alcohols, secondary alcohols, cyanohydrins, oxazolidones, diols, thiones and epoxides, using a phosphorous based three component mixture. The simple mixing and shaking of enantiopure 1,1’-binaphthyl-2,2’-diyl hydrogenphosphate (BNPA), 4-(dimethylamino)pyridine (DMAP) and a chiral analyte in the solvent CDCl3 served as a chiral solvating agent and resulted in well-dispersed peaks for each enantiomer in the 1H NMR spectrum. Discrimination was achieved not only for the proton at the chiral center but also for multiple proton sites. The J-resolved technique was used for alleviating the spectral complexity pattern to accurately measure the chemical shift difference. The devised approach also permitted the precise measurement of the enantiomeric excess (ee). Chapter 3: Simultaneous discrimination of secondary alcohols and carboxylic acids In this chapter, I describe two novel ternary ion-pair complexes, which serve as chiral solvating agents (CSA), for enantio discrimination of secondary alcohols and carboxylic acids. The superiority of CSA over other auxiliaries arises due to the formation of diastereomeric complexes through non-covalent interactions with the analyte. By exploiting the acid-base interaction strategy and employing DMAP, which further enhanced the hydrogen bonding efficiency the discrimination for both carboxylic acids and secondary alcohols were achieved. The protocol for discrimination of secondary alcohols is designed by using one equivalent mixture each of enantiopure mandelic acid, 4-dimethylaminopyridine (DMAP) and a chiral alcohol. For discrimination of carboxylic acids, the ternary complex is obtained by one equivalent mixture each of enantiopure chiral alcohol, DMAP, and a carboxylic acid. Furthermore, the formation of the complex was supported by calculating the energy-minimized structure of the proposed complex by density functional theory (DFT). The designed protocols also permit accurate measurement of the enantiomeric composition. Chapter 4: Enhanced potency of nanoparticle-antimicrobial peptide conjugates Antibiotic resistance is emerging as the new global health problem. Due to the blatant misuse and overuse of these drugs has resulted in the bacteria becoming resistant to a wide range of antibiotics. Researchers have found an alternative of current antibiotics which are a group of peptides known as antimicrobial peptides (AMP). But using these molecules as drug is rather costly due to high synthesis cost. Further the antibacterial activity of silver nanoparticle is well established. However, due to its toxic nature after, it cannot be used in high concentration. The conjugation of nanoparticles with antimicrobial peptides is emerging as a promising route to achieve superior anti-microbial activity. However, the nature of peptide-nanoparticle interactions in these systems remains unclear. This study describes the interactions of antimicrobial peptide with silver nanoparticles by NMR spectroscopy in conjunction with other biophysical techniques to completely understand the underlying mechanism of interaction between nanoparticles and peptide. It reveals that the conjugation process involves dynamic interaction between the nanoparticle and the peptide. This study also confirms the enhanced antibacterial efficiency of the nano-conjugate towards bacterial killing compared to the nanoparticle or the peptide alone. Chapter 5: Mechanistic insights into the action of nano-conjugates It is well established that antimicrobial peptides act as pore-formers to rupture the bacterial cells. This chapter is focused on studying the mechanism of action of the nano-conjugate with bacterial membrane mimic models. This study for the first time reveals the details of nanoconjugate membrane interaction at an atomic level. The pore formation mechanism and the enhanced efficiency of the nanoconjugate were explored using fluorescence spectroscopy, CD spectroscopy, and NMR spectroscopy. Structural changes of the peptide and the nanoparticle bound peptide have been captured which infers the propensity of the peptide to form a helical structure upon interacting with the membrane. The calculated structure of the peptide and nanoparticle bound peptide remains almost identical in presence of the membrane mimic environment. In the case of the nanoconjugate, the increase in local positive charge concentration makes the system to penetrate the bacterial membrane faster which further allows the nanoparticle to access the intercellular organelles easily. This dual mode of mechanism thus makes this nano-conjugate a promising antibacterial agent towards multi drug resistant bacteria. In summary, the thesis has focused on the studies of weak intermolecular interactions in different chemical and biological systems using NMR spectroscopy. It is demonstrated that in certain chemical systems, such interactions can be exploited to discriminate enantiomers and determine the enantiopurity of compounds by NMR. In the case of biomolecules, such weak interactions exist when protein or peptides interact with nanoparticles. Using silver nanoparticles, it is shown that such interactions result in a stable conjugate system. NMR spectroscopy provides valuable insights into the structure and dynamics of the system. Further, by using anti-microbial peptides conjugated with silver nanoparticles, new superior antibacterial agents can be developed.

The thesis entitled “Unravelling the Nature of Halogen and Chalcogen Intermolecular Interactions by Charge Density Analysis" consists of five chapters. A basic introductory section describes the topics relevant to the work and the methods and techniques utilized. The main focus of the present work is to characterize the interaction patterns devoid of strong classical hydrogen bonds. The case studies include halogen bonds and hydrogen bonds involving bromine (as a halogen bond donor and hydrogen bond acceptor), intermolecular chalcogen bond formation involving sulphur, type I Br Br contacts, type II F F and F S interactions and S-H S hydrogen bonds. Chapter 1 discusses experimental and theoretical charge density analyses on 2,2-dibromo-2,3-dihydroinden-1-one which has been carried out to quantify the topological features of a short C Br···O halogen bond with nearly linear geometry (2.922Å, C Br···O=172.7) and to assess the strength of the interactions using the topological features of the electron density. The electrostatic potential map indicates the presence of the “- hole” on bromine while the interaction energy is comparable to that of a moderate O-H O hydrogen bond. In addition, the energetic contribution of C-H···Br interaction is demonstrated to be on par with that of the C-Br···O halogen bond in stabilizing the crystal structure. Chapter 2 discusses an organic solid, 4,7-dibromo-5,6-dinitro-2,1,3-benzothiadiazole that has been designed to serve as an illustrative example to quantitatively evaluate the relative merits of halogen and chalcogen bonding in terms of charge density features. The compound displays two polymorphic modifications, one crystall zing in a non-centrosymmetric space group (Z =1) and the other in a centrosymmetric space group with two molecules in the asymmetric unit (=2). Topological analysis based on QTAIM clearly brings out the dominance of chalcogen bond over the halogen bond along with an indication that halogen bonds are more directional compared to chalcogen bonds. The cohesive energies calculated with the absence of both strong and weak hydrogen bonds as well as stacking interaction are indicative of the stabilities associated with the polymorphic forms. Chapter 3 discusses the role of a type I C-Br Br-C contact and what drives the contact i.e. how a dispersive interaction is stabilized by the remaining contacts in the structure. In the process we observe the role the Br2Cl motif which is quite unique in its nature. Also the role of the bromine atoms in stabilizing the stacking interactions has been shown by the electrostatic potentials which are oriented perpendicular to the plane of the benzene ring. Chapter 4 discusses the enigmatic type II C-F F-C and C-FS-C interactions in pentafluorophenyl 2,2- bithiazole. Both the interactions are shown to be realistic “-hole” interactions based on high resolution X-ray charge density analysis. As fluorine is the most electronegative element, its participation in halogen bonding wherein the electrostatic potential around the atom gets redistributed to form regions of electron depletion and accumulation had time and again been speculated but never observed. In this chapter the experimental charge dnsity analysis clearly identifies the “-hole” on fluorine and distinguishes the C-F S-C interaction as a halogen bond rather than the chalcogen bond. Chapter 5 discusses the experimental charge density analysis of the hitherto unexplored S-H S hydrogen bond in crystal structures. The work highlights how relatively small is the number of crystal structures which are constructed by the S-H S hydrogen bond compared to the X-H S hydrogen bond via Cambridge Structural Database (CSD) analysis. The potential S-H S hydrogen bond is studied in three isomeric mercaptobenzoic acids with experimental charge density collected on 2-mercaptobenzoic acid and theoretical estimates made on 3- and 4-mercaptobenzoic acid. The strength and directionality of the S-H S hydrogen bond is demonstrated to be mainly due to the conformation locking potential of intramolecular S O halogen bond.

NMR chemical shifts have an extremely high information content on the behaviour of macromolecules, owing to their non-trivial dependence on myriads of structural and environmental factors. Although such complex dependence creates an initial barrier for their use for the characterisation of the structures of protein and nucleic acids, recent developments in prediction methodologies and their successful implementation in resolving the structures of these molecules have clearly demonstrated that such barrier can be crossed. Furthermore, the significance of chemical shifts as useful observables in their own right has been substantially increased since the development of the NMR techniques to study low populated 'excited' states of biomolecules. This work is aimed at increasing our understanding of the multiple factors that affect chemical shifts in proteins and nucleic acids, and at developing high-quality chemical shift predictors for atom types that so far have largely escaped the attention in chemical shift restrained molecular dynamics simulations. A general approach is developed to optimise the models for structure-based chemical shift prediction, which is then used to construct CH3Shift and ArShift chemical shift predictors for the nuclei of protein side-chain methyl and aromatic moieties. These results have the potential of making a significant impact in structural biology, in particular when taking into account the advent of recent techniques for specific isotope labelling of protein side-chain atoms, which make large biomolecules accessible to NMR techniques. Through their incorporation as restraints in molecular dynamics simulations, the chemical shifts predicted by the approach described in this work create the opportunity of studying the structure and dynamics of proteins in a wide range of native and non-native states in order to characterise the mechanisms underlying the function and dysfunction of these molecules.

Farnesyl pyrophosphate synthase (FPPS) is a key branch point enzyme in the mevalonate pathway and the main molecular target of nitrogen-containing bisphosphonates (N-BPs), potent inhibitors of osteoclastic activity and the leading drug of choice for conditions characterized by excessive bone resorption. The main aim of this thesis is to investigate the interaction of N-BPs with FPPS in order to gain further insights into the mechanism of drug inhibition. Kinetic and crystallographic studies following site-directed mutagenesis of FPPS reveal key residues involved in stabilization of carbocation intermediate, substrate binding and formation of a tight enzyme-inhibitor complex. The aromatic ring of Tyr204 is involved in N-BP binding but not in the catalytic mechanism, where the hydroxyl moiety plays an important role. Lys200 is implicated in regulation of substrate binding, product specificity and enzyme isomerization which leads to a tight binding inhibition. Phe239 is considered important for the FPPS C-terminal switch which stabilizes substrate binding and promotes the inhibitor induced isomerized state. The highly conserved Arg112, Asp103 and Asp107 are pivotal for catalysis. Successful purification of the full length of Rab geranylgeranyl transferase (RGGT) complex downstream of the FPPS in the mevalonate pathway was achieved and may lead to co-crystallization with BP analogues and identification of the putative site of drug binding. Investigation of the in vitro effect of N-BPs on osteoclastogenesis suggest a correlation with FPPS inhibition kinetics for the most potent N-BPs but indicate an alternative mechanism of the disruption of bone resorption by alendronate. Together these results highlight the importance of the multiple interactions of N-BPs with side-chain residues of FPPS which dictate their strength of binding and advance the understanding of their pharmacophore effect.

Protein structure models obtained from X-ray crystallography are subject to radiation damage. The resulting specific alterations to protein structures can be mistaken for biological features, or may obscure actual protein mechanisms, leading to misidentification or obscuration of biological insight. The radiation chemistry behind this site-specific damage is not well understood. Radiation damage processes progress in proportion to the dose absorbed by the crystal in the diffraction experiment. Doses can be estimated using existing software, but these assume idealised experimental conditions. To simulate complex diffraction experiments, including treatment of imperfect X-ray beam profiles and inhomogeneous dose distributions, a new program, RADDOSE-3D, was developed. RADDOSE-3D can be integrated into beamline software to provide convenient, more accurate, comparative, and publishable dose figures, also facilitating informed data collection decisions. There is currently no method to automatically detect specific radiation damage in protein structure models in the absence of an 'undamaged' reference model. Radiation damage research therefore generally relies on detailed observation of a few model proteins. A new metric, B_Damage, is designed and used to identify and quantify specific radiation damage in the first large-scale statistical survey of 2,704 published protein models, which are examined for the effects of local environments on site-specific radiation damage susceptibility. A significant positive correlation between susceptibility and solvent accessibility is identified. Current understanding of radiation damage progression is mostly based on a few consecutive structure model 'snapshots' at coarse dose intervals. The low sampling rate considerably limits the ability to identify varying site susceptibility and its causes. Real space electron density data are obtained for crystals of different mutants of a RhoGDI protein with very high sequence identity, to determine sensitising and stabilising factors for radiation induced structural changes. Utilising a newly developed data collection and analysis protocol, these changes could be tracked with unprecedented time resolution.