The main aim of the study in this thesis was to use structure-based protocols to design new drugs for enzymes, DXS and DXR in the non mevalonate pathway. Another aim of this study was to identify the dimer interface in E.coli FabH as an allosteric binding site for designing new class of anti-infective drugs. We have attempted to identify potential inhibitors for DXS by docking the NCI Diversity set compounds, compound libraries available from GSK-MMV and St. Jude's Children's research center. FabH dimer interface has been identified as a potential target using SiteMap, Alanine mutagenesis and docking studies. The first chapter gives an overview of the computational methods. The next two chapters briefly introduce the biological targets in the author's study. Chapter two explains the importance of non-mevalonate pathway in microbes. Different enzymes in the non-mevalonate pathway are discussed and the importance of terpenoids in biological processes and also the use of terpenoids as drugs have been extensively discussed in this chapter. The crystal structures available for DXS and DXR are also discussed. Chapter three brings out the importance of FabH as an anti-infective target. Crystal structure of FabH E.coli is discussed and the importance of FabH as a dimer has been discussed in this chapter. Chapter 3 describes the methods, homology models generated, and analysis from docking studies. The homology models for PvDXS and PvDXR have been used in this study to identify potential inhibitors. Domain swapping and the structural organization of PvDXS before and after domain swaping are discussed. Identification of domain swaping in PvDXS using entropy changes has been extensively discussed. Chapter 4 focuses on FabH (Fatty Acid Biosynthesis, enzyme H also referred to as β-ketoacyl-ACP-synthase III) dimer interface as an allosteric target. SiteMap analysis and MD simulations on the FabH monomer and dimer structures revealed the dimer interface as a binding region. Further analyses were done by mutagenesis studies on the Phe87 residue, a key residue at the dimer interface region and validating the results using docking studies. NCI Diversity Set compounds were docked at the dimer interface of FabH, which revealed that compounds NSC91529 and NSC19803 docked best at the dimer interface region with the phenyl ring of both the compounds

The scope of this work focuses on computationally modeling compounds with protein structures. While the impetus of drug discovery is the innovation of new therapeutic molecules, it also involves distinguishing molecules that would not be an effective drug. This can be achieved by inventing new tools or by refining old tools. Virtual screening (VS, also called docking), the computational modeling of a molecule in a receptor structure, is a staple in predicting a molecule's affinity for an intended target. In our Virtual Target Screening system (also called inverse-docking), VS is used to find high-affinity targets, which can potentially explain absorption, distribution, metabolism, and excretion (ADME) of a molecule of interest in the human body. The next project, low-mode docking (LD), attempts to improve VS by incorporating protein flexibility into traditional docking where a static receptor structure has potential to produce poor results due to incorrectly predicted ligand poses. Finally, VS, performed mostly on small molecules, is scaled up to cyclic peptides by employing Monte Carlo simulations and molecular dynamics to mimic the steps of small molecule VS. The first project discussed is Virtual Target Screening (also called inverse-docking) where a small molecule is virtually screened against a library of protein structures. Predicting receptors to which a synthesized compound may bind would give insights to drug repurposing, metabolism, toxicity, and lead optimization. Our protocol calibrates each protein entry with a diverse set of small molecule structures, the NCI Diversity Set I. Our test set, 20 kinase inhibitors, was predicted to have a high percentage of kinase "hits" among approximately 1500 protein structures. Further, approved drugs within the test set generally had better rates of kinase hits. Next, normal mode analysis (NMA), which can computationally describe the fundamental motions of a receptor structure, is utilized to approach the rigid body bias problem in traditional docking techniques. Traditional docking involves the selection of a static receptor structure for VS; however, protein structures are dynamic. Simulation of the induced fit effect in protein-ligand binding events is modeled by full articulation of the approximated large-scale low-frequency normal modes of vibration, or "low-modes," coupled with the docking of a ligand structure. Low-mode dockings of 40 cyclin dependent 2 (CDK2) inhibitors into 54 low-modes of CDK2 yielded minimum root-mean-square deviation (RMSD) values of 1.82 – 1.20 Å when compared to known coordinate data. The choice of pose is currently limited to docking score, however, with ligand pose RMSD values of 3.87 – 2.07 Å. When compared to corresponding traditional dockings with RMSD values of 5.89 – 2.33 Å, low-mode docking was more accurate. The last discussion involves the rational docking of a cyclic peptide to the murine double minute 2 (MDM2) oncoprotein. The affinity for a cyclic peptide (synthesized by Priyesh Jain, McLaughin Lab, University of South Florida), PJ-8-73, in MDM2 was found to be within an order of magnitude of a cyclic peptide from the Robinson Lab at the University of Zurich in Switzerland. Both are Β-hairpin cyclic peptides with IC50 values of 650 nm and 140 nm, respectively. Using the co-crystalized structure of the Robinson peptide (PDB 2AXI), we modeled the McLaughlin peptide based on an important interaction of the 6-chloro-tryptophan residue of the Robinson peptide occupying the same pocket in MDM2 as the tryptophan residue by the native p53 transactivation helical domain. By preserving this interaction in initial cyclic peptide poses, the resulting pose of PJ-8-73 structure in MDM2 possessed comparable active site residue contacts and surface area. These protocols will aid medical research by using computer technology to reduce cost and time. VTS utilizes a unique structural and statistical calibration to virtually assay thousands of protein structures to predict high affinity binding. Determining unintended protein targets aids in creating more effective drugs. In low-mode docking, the accuracy of virtual screening was increased by including the fundamental motions of proteins. This newfound accuracy can decrease false negative results common in virtual screening. Lastly, docking techniques, usually for small molecules, were applied to larger peptide molecules. These modifications allow for the prediction of peptide therapeutics in protein-protein interaction modulation, a growing interest in medicine. Impactful in their own ways, these procedures contribute to the discovery of drugs, whether they are small molecules or cyclic peptides.

Fast pyrolysis, the rapid thermal decomposition of organic material in the absence of oxygen, is a process that can be used to convert biomass into liquid fuels and chemicals. When performed at the micro-scale, pyrolysis is useful for characterizing biomass structure, as well as determining the pyrolysis products that can be generated from specific biomass feedstocks. Indeed, microscale pyrolysis coupled with on-line analysis of the pyrolysis vapors by GC/MS, so-called pyrolysis-GC/MS (Py-GC/MS), is a technique that can be used to characterize the structure and composition of the various components of lignocellulosic and microalgal biomass based on their pyrolysate distributions. Pyrolysates produced also provide insight into the range of products that can be expected when biomass feedstocks are subjected to thermal decomposition processes. This dissertation focuses on the Py-GC/MS analysis of lignocellulosic biomass such as sorghum and Scenedesmus sp. microalgae, in addition to high-lignin feedstocks such as walnut shells, coconut shells, olive pits and peach pits. The differences in the pyrolysate distributions among these biomass types are correlated with differences in the structure and composition of the biopolymers, mainly cellulose, hemicellulose and lignin, present in the biomass. Py-GC/MS analysis of lignin extracted from endocarp feedstocks is also emphasized. In addition to biomass and extracted lignin, sinapyl (S) and coniferyl (G) alcohol have been analyzed by Py-GC/MS in order to understand the relationship between the corresponding pyrolysates and sinapyl/coniferyl ratios of lignin present in lignocellulosic biomass.

Previous studies from our laboratory and others show a significant increase in levels of both nuclear and mitochondrial DNA and RNA oxidation in vulnerable brain regions in the progression of Alzheimer’s disease (AD). Although total DNA oxidation is increased in AD it remains unclear whether oxidative damage is widespread throughout the genome or is concentrated to specific genes. To test the hypothesis that specific genes are more highly oxidized in the progression of AD, we propose to quantify the percent oxidative damage in genes coding for proteins shown to be altered in the progression of AD using quantitative/real-time polymerase chain reaction (qPCR/ RT-PCR). To further test the hypothesis that diminished DNA repair capacity in the progression of AD contributes to increased DNA oxidation we will use custom PCR arrays and qPCR, Western blot analysis and activity assays to quantify changes in enzymes involved in base excision repair (BER). In order to carry out these studies tissue specimens from superior and middle temporal gyri (SMTG) and inferior parietal lobe (IP), as well as, a non-vulnerable region, the cerebellum (CER) will be analyzed from normal control (NC) subjects and subjects throughout the progression of AD including those with preclinical AD (PCAD), mild cognitive impairment (MCI), and late stage AD (LAD). We will also analyze specimens from diseased control subjects (DC; Frontotemporal dementia (FTD) and dementia with Lewy bodies (DLB)) to determine if the changes we observe in AD are specific.

De flesta klorater som finns i naturen kommer från utsläpp av människan i flera storaindustrier. Kloraterna påverkar flera olika levande organismer och det är därför viktigt att tahand om dem efter utsläppen. Flera olika bakterier kan bryta ned klorat till klorid och syre, enav dessa är Ideonella dechloratans. Nedbrytningen sker med de alkaliska enzymernakloratreduktas och kloritdismutas under anaeroba förhållanden. I detta arbete har 2Dgelelektrofores utvecklats för alkaliska proteiner i Ideonella dechloratans i syfte att kunnajämföra proteinuttryck under olika odlingsförhållanden. Därefter har en jämförelse mellanaeroba och anaeroba odlingsförhållanden gjorts samt försök att detektera kloritdismutas.Resultatet har blivit att en metod har tagits fram som ger en hög grad av upplösning pågelerna från 2D-gelelektroforesen. Jämförelserna mellan aeroba och anaerobaodlingsförhållanden har visat att det finns stora skillnader i proteinuttryck mellan de bådaodlingsförhållandena. Fler proteiner syns i området pH 8-10 under anaerobaodlingsförhållanden jämfört med aeroba förhållanden. Försök till identifiering avkloritdismutas har gjorts för de anaeroba odlingsförhållandena, dock krävs det ytterligarearbete innan en säker identifiering kan göras.

I den reviderade variation av LGR 11 (Läroplan för grundskolan, förskoleklassen ochfritidshemmet 2011) från 2017 lyfts digitaliseringen fram. Skolan är under förändringoch digitala verktyg finns i klassrum. Eleverna förväntas använda dessa och utvecklaförmågor som lyfts fram i LGR 11 och utveckla kunskaper om hur de ska förhålla sigtill ett konstant informationsflöde. Samtidigt använder lärare redan idag många digitalaverktyg i sin undervisning. Med de förändringar som gjorts markerar myndigheter iSverige vikten av att eleverna lär sig navigera och hantera den digitala världen.Frågan som då måste ställas är hur det ser ut i klassrum i Sverige och hurdigitaliseringen har påverkat undervisningen i kemi. När datorn gjorde entréförändrades klassrummet men det tog tid. Idag finns det en mängd olika digitalaverktyg att använda. Genom att gå ut och intervjua lärare skapades en bild avsituationen i det digitala kemiklassrummet. De arbetade med digitala böcker,interaktiva övningar och formativ feedback via delade dokument. Digitaliseringen iskolan speglar den utveckling som samhället har tagit och det är viktigt att alla få följamed i den utvecklingen.Det har även bedrivits forskning inom digitaliseringen i skolan där begrepp som digitalläsning återfinns. Hur har undervisningen hanterats i förhållande till den forskningsom finns och hur lyfter digitaliseringen undervisningen? Genom att göra en jämförelsemellan forskning och praktik skapas en bild av hur det ser ut i skolor men också varmöjligheter för utveckling ligger.

Per-and polyfluoroalkyl substances (PFAS) are anthropogenic compounds that have been spread all over the world. The use of fluorotelomer compounds, short-chained homologues, and other PFASs with perfluorinated moieties has emerged recent years. One of these emerging compound classes is polyfluoroalkyl phosphate esters (PAPs), which have the ability to degrade into persistent PFCAs. The aim of this thesis was to assess the contribution of PAPs and other precursors to the exposure of PFCAs to humans and the environment. The main objective was to analyze a wide range of PFAS in human serum, wild bird eggs, indoor dust, waste water, and sludge. There was a significant contribution from selected precursors to the total amount of PFASs in the abiotic compartments indoor dust, waste water, and sludge. Levels of PAPs found in house dust exceeded those of PFCAs and perfluorosulfonic acids (PFSAs), revealing PAPs as a world-wide important exposure source. A net increase was during waste water treatment was observed for several PFASs in Swedish waste water treatment plants. Together with presence of precursor compounds and intermediates in the influent water and the sludge, this suggest that degradation of PFCA precursors contributed to the increase of PFCAs. Detection of precursors in human serum, together with slow declining trends of PFCAs, revealed an ongoing exposure of PFCAs to the general population of Australia. The diPAPs and the FTSAs were also detected in raptor bird eggs from Sweden from both the terrestrial and the freshwater environment. The precursors concentrations and patterns observed reveal that current regulatory measures are insufficient for the purpose of protecting humans and the environment from PFASs exposure.

The nuclear envelope forms the interface between the nucleus and the cytoplasm. The nuclear envelope consists of the two concentric lipid membranes, the nuclear pores and the nuclear lamina. The inner nuclear membrane contains hundreds of unique transmembrane proteins showing high tissue diversity. Mutations of some proteins in the nuclear envelope give rise to a broad spectrum of diseases called envelopathies or laminopathies. In this thesis, I aimed to study the functional organization of the nuclear envelope by identifying and characterizing interactions between the nuclear envelope proteins. For this, we developed a novel method called the Membrane Protein Crosslink Immuno-Precipitation, which enable identification of protein-protein interactions in the nuclear envelope in live cells. We identified several novel interactions of the inner nuclear membrane protein, Samp1, and studied the interaction between the Samp1 and the nuclear GTPase, Ran in detail. Samp1 can bind to Ran and is thus the first known transmembrane Ran binding protein and Samp1 might provide a local binding site for Ran in the inner nuclear membrane. We found that Samp1 also binds to the inner nuclear membrane protein, Emerin and Ran can regulate the Samp1-Emerin interaction in the nuclear envelope. During mitosis, Samp1 distributes in the mitotic spindle. Therefore, we investigated a possible functional role of Samp1 in the mitotic machinery. Samp1 depletion resulted in aneuploid phenotypes, metaphase prolongation and decreased distribution of γ-tubulin and β-tubulin in the mitotic spindle. We found that Samp1 can bind to γ-tubulin, which is essential for the microtubule nucleation and hence for the spindle stability. The new interesting features of Samp1 provide insights on the unforeseen functions of the nuclear envelope proteins. / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 3: Manuscript. Paper 4: Manuscript.</p>

In recent years, there has been a dramatic increase in the use of improvised explosive devices (IEDs) due to ease of synthesis and improved controls placed on commercial/military explosives. Commonly used materials for IED preparations include fertilizers and industrial chemicals containing oxidizers such as ClO3-, ClO4-, and NO3-, as well as other less stable compounds, such as peroxides. Due to these materials having a wide range of volatility, polarity, and composition, detection can be challenging, increasing the amount of time before any analytical information on the identity of the explosive can be determined. Therefore, this research project developed two analytical methods to aid in the rapid detection of multiple explosive compounds. The use of microfluidic paper-based analytical devices (µPADs) allows for the development of inexpensive paper devices utilizing colorimetric reactions, which can perform five or more simultaneous analyses in approximately five minutes. Two devices were developed: one for the detection of inorganic explosives including ClO3-, ClO4-, NH4+, NO3-, and NO2-, and the second device detects high/organic explosives including RDX, TNT, urea nitrate, and peroxides. Limits of detection ranged from 0.4 µg – 20 µg of explosive residue with an analysis time of less than five minutes. Development of a confirmatory method utilizing infusion electrochemical detection-electrospray ionization-time-of-flight mass spectrometry (EC-ESI-TOF MS) and 18-crown-6 ethers to produce guest/host complexes with inorganic ions has also been completed. Utilizing this method the inorganic ions present in many IEDs can be successfully detected as ion pairs, while still allowing for the detection of other high explosives1. Placing an electrochemical detector before the mass spectrometer permits the detection of hydrogen peroxide, an analyte normally difficult to detect through mass spectrometry. Limits of detection ranged from 0.06 ppm - 2 ppm with an analysis time of less than two minutes. The development of these presumptive and confirmatory analytical methods permits the detection of a wide range of components present in IEDs. These methods decrease the amount of time required to relay information on the type of explosives present by simplifying the analysis process in the field and in a laboratory.

The oxidative folding pathway of the disulfide containing protein bovine pancreatic trypsin inhibitor (BPTI) was one of the first to be elucidated and has served as a basis for understanding the folding pathways of other proteins. During the oxidative folding of reduced BPTI, two intermediates (N' and N*) accumulate in significant amounts and act as kinetic traps. Both N' and N* bury their two remaining free thiols in their hydrophobic cores, which inhibits further oxidation. Historically, the rate limiting step was considered to be the intramolecular rearrangements of N' and N* to another intermediate with two free thiols, NSH. The two free thiols in NSH are solvent-exposed and easily oxidized to a disulfide, producing native protein (N). Nevertheless, our research using reduced BPTI indicated that the folding rate of N* to N was proportional to the concentration of added glutathione disulfide (GSSG), inconsistent with the slow intramolecular rearrangement of N* to NSH. To confirm our initial results, the intermediate N* was purified and refolded in the presence of GSSG. The conversion of N* to N was dependent upon the disulfide concentration and singly mixed disulfide N*(SG) was observed during folding. These results emphasize that the folding of N* can proceed via a growth type pathway, direct oxidation of the two remaining thiols in N* by an exogenous small molecule disulfide, such as GSSG, to form N. Folding of reduced BPTI via N* was performed under changing concentrations of GSSG and GSH as a function of time. The folding was improved dramatically in terms of rate and yield. Aromatic disulfides and thiols have been demonstrated to improve the folding efficiency of disulfide containing proteins including ribonuclease A (RNase A) and lysozyme. Herein, N* and N' were refolded in the presence of aromatic disulfides. Folding of the two kinetic traps with aromatic disulfides indicated that folding proceed via a growth type pathway. The singly and doubly mixed disulfide intermediates were observed during most folding reactions. The oxidative folding of reduced BPTI with aromatic disulfides and thiols were also investigated. Reduced BPTI can be folded to disulfide intermediates rapidly.