Glycosylation, the addition of one or more carbohydrates molecules to a protein, is crucial for many cellular processes. Aberrant glycosylation is a key marker for various diseases such as cancer and rheumatoid arthritis. It has also recently been discovered that glycosylation is important in the ability of the Human Immunodeficiency Virus (HIV) to evade recognition by the immune system. Given the importance of glycosylation in disease, major efforts are underway in life science research to investigate the glycome, the entire glycosylation profile of an organelle, cell or tissue type. To date, little bioinformatics research has been performed in glycomics due to the complexity of glycan structures and the low throughput of carbohydrate analysis. Recent advances in mass spectrometry (MS) have greatly facilitated the analysis of the glycome. Increasingly, this technology is preferred over traditional methods of carbohydrate analysis which are often laborious and unsuitable for low abundance glycoproteins. When subject to mass spectrometry with collision-induced dissociation, glycopeptides produce characteristic MS/MS spectra that can be detected by visual inspection. However, given the high volume of data output from proteome studies today, manually searching for glycopeptides is an impractical task. In this thesis, we present a tool to automate the identification of glycopeptide spectra from MS/MS data. Further, we discuss some methodologies to automate the elucidation of the structure of the carbohydrate moiety of glycopeptides by adapting traditional MS/MS ion searching techniques employed in peptide sequence determination. MS/MS ion searching, a common technique in proteomics, aims to interpret MS/MS spectra by correlating structures from a database to the patterns represented in the spectrum. The tool was tested on high throughput proteomics data and was shown to identify 97% of all glycopeptides present in the test data. Further, the tool assigned correct carbohydrate structures to many of these glycopeptide MS/MS spectra. Applications of the tool in a proteomics environment for the analysis of glycopeptide expression in cancer tissue are also be presented.

Zeolites are crystalline microporous aluminosilicates with well-defined cavities or channels of molecular dimensions. They are widely used for applications such as gas adsorption, gas storage, ion exchange and catalysis. The size of the pore opening allows zeolites to be categorized into small, medium, large and extra-large pore zeolites. A typical zeolite is the small pore silicoaluminophosphate SAPO-34, which is an important catalyst in the MTO (methanol-to-olefin) process. The properties of zeolite catalysts are determined mainly by their structures, and it is therefore important to know the structures of these materials in order to understand their properties and explore new applications. Single crystal X-ray diffraction has been the main technique used to determine the structures of unknown crystalline materials such as zeolites. This technique, however, can be used only if crystals larger than several micrometres are available. Powder X-ray diffraction (PXRD) is an alternative technique to determine the structures if only small crystals are available. However, peak overlap, poor crystallinity and the presence of impurities hinder the solution of structures from PXRD data. Electron crystallography can overcome these problems. We have developed a new method, which we have called “rotation electron diffraction” (RED), for the automated collection and processing of three-dimensional electron diffraction data. This thesis describes how the RED method has been applied to determine the structures of several zeolites and zeolite-related materials. These include two interlayer expanded silicates (COE-3 and COE-4), a new layered zeolitic fluoroaluminophosphate (EMM-9), a new borosilicate (EMM-26), and an aluminosilicate (ZSM-25). We have developed a new approach based on strong reflections, and used it to determine the structure of ZSM-25, and to predict the structures of a series of complex zeolites in the RHO family. We propose a new structural principle that describes a series of structurally related zeolites known as “embedded isoreticular zeolite structures”, which have expanding unit cells. The thesis also summarizes several common structural features of zeolites in the Database of Zeolite Structures. / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Manuscript. Paper 3: Manuscript.</p>

<p>Bacterial L-asparaginases (E.C.3.5.1.1) are enzymes that catalyze the hydrolysis of L-asparagine to aspartic acid. For the past 30 years these enzymes have been used as therapeutic agents in the treatment of acute childhood lymphoblastic leukemia. The presence of a low rate glutaminase activity however causes serious side-effects to patients in treatment, as glutamine depletion give rise to neurotoxicity, anaphylaxis, and other hypersensitivity reactions. The interest in the enzyme from Erwinia carotovora originates from the fact that it shows a decreased glutaminase activity, and therefore the enzyme is expected to exhibit fewer side effects when used in therapy.</p><p>The main focus of this thesis is the crystal structure determination of L-asparaginase from Erwinia carotovora in the presence of aspartic acid at 2.5 Å resolution. The structure was refined to an R/Rfree factor of 19.9/28.6 with good stereochemistry.</p><p>L-Asparaginases are homotetrameric enzymes with a known 222 symmetry and an identical fold. The Erwinia carotovora asparaginase consists of eight monomers of 330 amino acid residues each. In this case the enzyme is active as a dimer of tetramers. The two tetramers have an inner twofold non-crystallographic symmetry. Each monomer forms two identifiable domains a large N-domain and a small C-domain. The active sites are found at a topological switch-point between those domains.</p>

This thesis covers the process from expression of a heterologous gene in Escherichia coli to structure determination of a protein by nuclear magnetic resonance (NMR) spectroscopy. The first part concerns structural genomics-related parallel screening studies on the effect of fusion tags (in particular the His tag) on protein solubility and the use of fusion tags in fast, parallel purification protocols intended for initial biophysical characterization of human proteins produced in E. coli. It was found that for most proteins the His tag has a negative influence on protein solubility. This influence appears to be more pronounced for our C-terminal His tag than for the N-terminal His tags used in this study. Moreover, high ratios of soluble per total protein do not always guarantee a high yield of soluble protein after purification, as different vector - target protein combinations result in large differences in host cell growth rates. Protein purification protocols for different fusion tags were developed that make it possible to express, purify and study structural properties of low concentration samples of 15N-labeled proteins in one or two days. The second part of this thesis describes the assignment and solution structure determination of ribosomal protein L18 of Thermus thermophilus. The protein is a mixed α/β structure with two α-helices on one side of a four-stranded β-sheet. Comparison to RNA-bound L18 showed that the protein to a large extent adopts identical structures in free and bound states, with exception of the loop regions and the flexible N-terminus. Keywords: protein production, protein solubility, fusion tags, nuclear magnetic resonance, structure determination, ribosomal protein

Microporous materials have a wide range of important applications in separation, gas adsorption, ion-exchange and catalysis. Open-framework germanates are a family of microporous compounds and are of particular interest. This thesis focuses on the synthesis and characterization of new open-framework germanates as well as introducing the transition-metal nickel into germanate structures. One new microporous germanosilicate, SU-78 and four new open-framework germanates, SU-74, SU-75, SU-69 and SU-76 have been obtained by using organic molecules as structure directing agents (SDAs). The incorporation of nickel and organic SDAs in the synthesis resulted in five novel nickel germanates, SUT-1, SUT-2, SUT-3, SUT-4 and SUT-5, in which nickel complexes act either as framework-forming components or as structure directing agents. The general synthesis route is described and the variables that affect the synthesis products are summarized. Different techniques applied on the characterization of chemical and physical properties of the products are also introduced. / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 1: Submitted. Paper 2: Submitted. Paper 3: Submitted. Paper 5: Manuscript.</p>

This thesis concerns different areas of biomolecular nuclearmagnetic resonance spectroscopy (NMR). In the first part of thethesis a new formalism for simulations of NMR pulse sequencesis introduced. The formalism is derived both from classicalmechanics and quantum mechanics and is presented forhomonuclear and heteronuclear spin systems. The formalism hasalso been adapted to systems in chemical exchange. Simulationsof pulse sequences should be more straightforward using the newformalism. In the second part of the thesis the NMR solution structuresof two ribosomal proteins are described. The ribosome isresponsible for protein production in all living cells and tounderstand the mechanism of the ribosome it is important toknow the three dimensional structure. In this thesis thestructures of S16 and S19, two of the proteins in the smallribosomal subunit, are presented. S16 is a mixed α /βprotein with a five-stranded parallel-antiparallel β-sheetand two α -helices. S19 is s mixed α/β proteinwith a three-stranded parallel-antiparallel β -sheet, oneα -helix and a short 310-helix. In the third part of the thesis a program for semiautomaticassignment of NMR-spectra is presented. Assigning resonances inthe NMR spectrum is a labor-intensive process, which can takelong time. In semiautomatic assignment a computer program aidsthe user in finding assignments but leaves all decisions to theuser, thus speeding up the process. The program described inthis thesis is a new version of ANSIG, called Ansig forWindows. The program runs on PCs under Windows and has severaltools for semiautomatic assignment. <b>Keywords:</b>nuclear magnetic resonance, structuredetermination, ribosomal proteins, NMR simulations, NMR theory,NMR assignment software, semiautomatic assignment

In this work we have investigated the intercalation of electron-donors between NbS2 slabs in Nb-based layer sulfides. Two series of Sr substituted Nb-based misfit sulfides belonging to the 1.5Q/1H and 1Q/1H series of misfit layer compounds have been synthesised. For large lanthanides (Ln=La, Ce), only the 1Q/1H compounds formed whereas for smaller lanthanides and yttrium, both types of phases can be obtained. The crystal structure of misfit sulfide (Pr0.55Sr0.45S)1.15NbS2 has been refined using the composite approach. In the Q-slab, Pr-atoms are partly replaced by Sr with a random distribution over one cation position. The crystal structure of misfit sulfide [(Sm1/3Sr2/3S)1.5]1.15NbS2 belonging to the 1.5Q/1H series have also been determined. The obtained results suggest a preferred occupancy of the cation positions in the slab where Sr atoms mainly occupy positions on the exterior of the slab while Sm atoms are in the center of the slab. The (La1-xSrxS)1.15NbS2 solid solution (0.1&lt;x&lt;0.9) has also been studied. It was found that the maximum value of Sr substitution is 40-50% and therefore, the minimal value of charge transfer to stabilize this structure type is about 0.6ē per Nb atom. An attempt to synthesize SrxNbS2 (0.1≤x≤0.5) intercalates was made but single phases were not obtained and increasing the temperature from 1000оС to 1100оС leads to the decomposition of these intercalates. Single crystals of Sr0.22Nb1.05S2 and Sr0.23NbS2 were found and their structures were determined. The structures belong to two different types of packings with statistical distribution of Sr between layers. A new superconducting sulfide, "EuNb2S5", was investigated by ED and HREM and its structure model consisting of Nb7S14 and (Eu3S4)2 slabs alternating along the c-axis is suggested. An attempt to suggest a model for the structure of "SrNb2S5" by means of X-ray single crystal diffraction was made. The proposed structure consists of two types of slabs: a Nb7S14 and a [Sr6(NbS4)2S] slab with niobium in tetrahedral coordination. It is shown that "SrNb2S5" and "EuNb2S5" are have similar structures. For the first time, single crystals of the complex sulfide BaNb0.9S3 have also been studied by means of X-ray single crystal diffraction. The single crystal refinement and EDX analysis showed the existence of cation vacancies at the niobium position. BaNb0.9S3 has also been studied by ED and no superstructure was found which implies that and the vacancies are statistically distributed. No improvement of the magnetic properties of the studied compounds was observed in comparison to NbS2.

This thesis is focused on studies of substituted Hg-based superconducting copper oxides ((Hg1-xMx)Ba2Can-1CunO2n+2+δ). These compounds are promising objects of investigation, not only from a fundamental point of view but also because of their high values of superconducting transition temperature (Tc) and irreversibility field (Hirr). The first part of the thesis is devoted to optimization of the synthesis procedure for Hg-based cuprates. The influence of different parameters (T, t, p(Hg), p(O2)) on the synthesis of these compounds in sealed silica tubes was studied. Optimal conditions yielded samples containing up to 95% of HgBa2Ca2Cu3O8+δ (Hg-1223). The formation of solid solutions with the formula (Hg1-xCux)Ba2Ca2Cu3O8+δ (where x &lt;= 0.5) was also established. Another technique was developed, using LiF as a flux, for synthesis of samples containing up to 90% of the HgBa2CaCu2O6+δ (Hg-1212) phase. The second part concerns synthesis and studies of oxyfluorides using Hg-1212 and Hg-1223 as starting materials together with XeF2 as a fluorinating agent. It was found that oxyfluorides of both phases have a parabolic dependence of Tc vs. a parameter as well as enhanced Tc values (ΔT ≈ 3-4 K) in comparison with optimally doped non-fluorinated analogues. The crystal structure of Hg-1223 oxyfluoride was studied by X-ray powder and neutron diffraction methods. It is suggested that chemical modification of the crystal structure leads to a decrease in Cu-O distance without noticeable change in Cu-O-Cu angle (in the (CuO2) layers), which may be the significant factors influencing this Tc increase. Hg-1223 oxyfluoride was also studied under high pressure for first time. It was found that this compound has a record-high Tc value (≈ 166 K) at P ≈ 23 GPa. The last part describes the investigation of substituted Hg-based superconductors in the series (Hg0.9M0.1)Ba2CuO4+δ {(Hg,M)-1201}, where M = Tl, Pb, W, Mo, Nb and V. A comprehensive study of these compounds by various methods (X-ray powder diffraction, EDX, IR-, EXAFS- and XANES -spectroscopy) indicated that the change of charge carrier doping level is a crucial factor determining the irreversibility line. (Hg0.9Mo0.1)Ba2CuO4+δ showed the most improved irreversibility line position among the (Hg,M)-1201 compounds studied in this series.

Bacterial L-asparaginases (E.C.3.5.1.1) are enzymes that catalyze the hydrolysis of L-asparagine to aspartic acid. For the past 30 years these enzymes have been used as therapeutic agents in the treatment of acute childhood lymphoblastic leukemia. The presence of a low rate glutaminase activity however causes serious side-effects to patients in treatment, as glutamine depletion give rise to neurotoxicity, anaphylaxis, and other hypersensitivity reactions. The interest in the enzyme from Erwinia carotovora originates from the fact that it shows a decreased glutaminase activity, and therefore the enzyme is expected to exhibit fewer side effects when used in therapy. The main focus of this thesis is the crystal structure determination of L-asparaginase from Erwinia carotovora in the presence of aspartic acid at 2.5 Å resolution. The structure was refined to an R/Rfree factor of 19.9/28.6 with good stereochemistry. L-Asparaginases are homotetrameric enzymes with a known 222 symmetry and an identical fold. The Erwinia carotovora asparaginase consists of eight monomers of 330 amino acid residues each. In this case the enzyme is active as a dimer of tetramers. The two tetramers have an inner twofold non-crystallographic symmetry. Each monomer forms two identifiable domains a large N-domain and a small C-domain. The active sites are found at a topological switch-point between those domains.

Glycosylation, the addition of one or more carbohydrates molecules to a protein, is crucial for many cellular processes. Aberrant glycosylation is a key marker for various diseases such as cancer and rheumatoid arthritis. It has also recently been discovered that glycosylation is important in the ability of the Human Immunodeficiency Virus (HIV) to evade recognition by the immune system. Given the importance of glycosylation in disease, major efforts are underway in life science research to investigate the glycome, the entire glycosylation profile of an organelle, cell or tissue type. To date, little bioinformatics research has been performed in glycomics due to the complexity of glycan structures and the low throughput of carbohydrate analysis. Recent advances in mass spectrometry (MS) have greatly facilitated the analysis of the glycome. Increasingly, this technology is preferred over traditional methods of carbohydrate analysis which are often laborious and unsuitable for low abundance glycoproteins. When subject to mass spectrometry with collision-induced dissociation, glycopeptides produce characteristic MS/MS spectra that can be detected by visual inspection. However, given the high volume of data output from proteome studies today, manually searching for glycopeptides is an impractical task. In this thesis, we present a tool to automate the identification of glycopeptide spectra from MS/MS data. Further, we discuss some methodologies to automate the elucidation of the structure of the carbohydrate moiety of glycopeptides by adapting traditional MS/MS ion searching techniques employed in peptide sequence determination. MS/MS ion searching, a common technique in proteomics, aims to interpret MS/MS spectra by correlating structures from a database to the patterns represented in the spectrum. The tool was tested on high throughput proteomics data and was shown to identify 97% of all glycopeptides present in the test data. Further, the tool assigned correct carbohydrate structures to many of these glycopeptide MS/MS spectra. Applications of the tool in a proteomics environment for the analysis of glycopeptide expression in cancer tissue are also be presented.