The goal of this project was to clone and express the antimicrobial peptide protegrin 1 (PG-1). Initially a yeast system was chosen but was discarded due to technical difficulties. Invitrogen's bacterial T7 expression system was chosen next to express the peptide. PG-1 expression was verified by anti-his immunoblot and then the peptide was purified by IMAC. Its activity was verified using a Bacillus subtillis radial diffusion assay.

The emergent resistance of bacteria against the conventional antibiotics has motivated the search for novel antimicrobial agents. Nature abounds with a number of antimicrobial peptides that are a part of our innate immune system and protect us against a variety of pathogenic bacteria. While they are broad-spectrum in their activity and show less drug-resistance induction, their intrinsic metabolic stability limits their potential therapeutic applications. Herein we describe the development of novel broad-spectrum bioactive antimicrobial peptidomimetics AA-peptides. AApeptides were designed based on chiral PNA backbone. Substitution of nucleobases yields AApeptides that are resistant to proteolysis and capable of mimicking peptides. Two types of AApeptides are discussed in this dissertation "[aacute]-AApeptides" and " ã-AApeptides" The therapeutic potential of these AApeptides were accessed by conducting antibacterial assays against a series of both gram-positive, gram-negative bacteria and fungi. These oligomers were characterized using MALDI-TOF and Circular Dichroism spectroscopy (CD). Their invitro toxicity was evaluated against human erythrocytes .We attempted to study their mechanism of action via membrane depolarization assay. We have successfully identified them as antimicrobial agents, pro-inflammatory immune response suppressing agents and as anti-biofilm agents.

The outer membrane protein OmpA is one of the major outer membrane proteins in many species of bacteria, including the Yersiniae. Our goal was to explore the role of OmpA in Y. pestis. This encompasses the ability of Yersinia to infect and survive within macrophages, as well as to resist antimicrobial compounds. Our laboratory found that a delta ompA mutant is impaired in a macrophage-associated infectivity assay. We also found that OmpA might play a role in the ability of the bacteria to resist antimicrobial peptides, specifically polymyxin B. Aditionally, we assessed the differences in OmpA of Y. pestis and E. coli, and determined that the characteristics we have observed in Y. pestis are unique compared to what has previously been described in E. coli. Our results indicate that Y. pestis OmpA might act through known pathways of antimicrobial resistance such as the PhoPQ two-component regulatory system, although further experiments are needed to determine the precise mechanism of function OmpA. Overall, our project characterizes the different functions of OmpA in Y. pestis, both as a key player in intracellular survival and as a necessary component in conferring resistance to antimicrobial peptides.

The emergence of pathogens resistant to available drug therapies is a pressing global health problem. Antimicrobial peptides (AMPs) may potentially form new therapeutics to counter these pathogens. AMPs are key components in the mammalian innate immune system and are responsible for both direct killing and immunomodulatory effects in host defense against pathogenic organisms. This thesis describes computational methods for the identification of novel natural and synthetic AMPs. A bioinformatic resource was constructed for classification and discovery of gene- coded AMPs, consisting of a database of clustered known AMPs and a set of hidden Markov models (HMMs). One set of 146 clusters was based on the mature peptide sequence, and one set of 40 clusters was based on propeptide sequence. The bovine genome was analyzed using the AMPer resources, and 27 of the 34 known bovine AMPs were identified with high confidence and up to 69 AMPs were predicted to be novel peptides. One novel cathelicidin AMP was experimentally verified as up-regulated in response to infection in bovine intestinal tissue. A chemoinformatic analysis was performed to model the antibacterial activity of short synthetic peptides. Using high-throughput screening data for the activities of over 1400 peptides of diverse sequence, quantitative structure-activity relation (QSAR) models were created using artificial neural networks and physical characteristics of the peptide that included three-dimensional atomic structure. The models were used to predict the activity of a set of approximately 100,000 peptide sequence variants. After ranking the predicted activity, the models were shown to be very accurate. When 200 peptides were synthesized and screened using four levels of expected activity, 94% of the top 50 peptides expected to have the highest level of activity were found to be highly active. Several promising candidates were synthesized with high quality and tested against several multi- antibiotic-resistant pathogens including clinical strains of Pseudomonas aeruginosa, Staphylococcus aureus, Enterococcus faecalis and Escherichia coli. These peptides were found to be highly active against these pathogens as determined by minimal inhibitory concentration; this serves as independent confirmation of the effectiveness of high-throughput screening and in silico analysis for identifying peptide antibiotic drug leads.

Antimicrobial peptides (AMPs) are not only fast microbe-killing molecules deployed in the host defense of living organisms but also offer valuable lessons for developing new therapeutic agents. While the mode of action of AMPs is not clearly understood yet, membrane perturbation has been recognized as a crucial step in the microbial killing mechanism of many AMPs. In this thesis, we first present a physical basis for the selective membrane-disrupting activity of cationic AMPs. To this end, we present a coarse-grained physical model that approximately captures essential molecular details such as peptide amphiphilicity and lipid composition (e.g., anionic lipids). In particular, we calculate the surface coverage of peptides embedded in the lipid headgroup-tail interface and the resulting membrane-area change, in terms of peptide and membrane parameters for varying salt concentrations. We show that the threshold peptide coverage on the membrane surface required for disruption can easily be reached for microbes, but not for the host cell -- large peptide charge (≳4) is shown to be the key ingredient for the optimal activity-selectivity of AMPs (in an ambient-salt dependent way). Intriguingly, we find that in a higher-salt environment, larger charge is required for optimal activity. Inspired by membrane softening by AMPs, we also study electrostatic modification of lipid headgroups and its effects on membrane curvature. Despite its relevance, a full theoretical description of membrane electrostatics is still lacking -- in the past, membrane bending has often been considered under a few assumptions about how bending modifies lipid arrangements and surface charges. Here, we present a unified theoretical approach to spontaneous membrane curvature, C₀, in which lipid properties (e.g., packing shape) and electrostatic effects are self-consistently integrated. Our results show that C₀ is sensitive to the way lipid rearrangements and divalent counterions are modeled. Interestingly, it can change its sign in the presence of divalent counterions, thus stabilizing reverse hexagonal (H_II) phases.

Seven novel, amphiphilic AApeptides were prepared. Two cationic, lipo-α-AApeptides, NA-75 and NA-77 were found to possess potent antimicrobial activity against Gram-positive bacteria, with almost no hemolytic activity. In addition to NA-75 and 77, four amphiphilic, γ-AApeptides, NA-133, 135, 137, and 139, and one anionic lipo-α-AApeptide, NA-81, were prepared for molecular self-assembly studies, with several interesting nanostructures observed by TEM. Mineralization of calcium carbonate from gaseous CO2 and Ca2+ in the presence of the 7 AApeptide amphiphiles was also observed by optical microscopy. Several AApeptides were found to be able to influence CaCO3 crystal morphology. Another α-AApeptide, NA-63, was synthesized by a novel, alternative method, which has several potential advantages over the previous synthesis methods.

Insects rely solely on innate immune reactions for protection against infect-ing microbes in their environment. In Drosophila, one major defense mechanism is the production of a battery of antimicrobial peptides (AMPs). The expression of AMPs is primarily regulated at the level of transcription and constitutes both constitutive expression in a tissue-specific manner and inducible systemic expression in response to infection. The aim of my thesis has been to investigate the regulation of AMP gene expression at different levels. I have studied a novel cis-regulatory element, Region 1 (R1) found in the proximal promoter of all Cecropin genes in Drosophila melanogaster, as well as in other species of Drosophila. We found that the R1 element was important for the expression of CecropinA1 (CecA1) both in vitro and in vivo. A signaling-dependent R1-binding activity (RBA) was identified in nuclear extracts from Drosophila cells and flies. The molecular nature of the RBA, has despite considerable effort, not yet been identified. I also have studied the role of the JNK pathway in transcriptional regulation of AMP genes. The role of the JNK pathway in the regulation of AMP genes has long been elusive, however, in this study we showed that the pathway is directly involved in the expression of AMP genes. Analysis of cells mutant for JNK pathway components showed severely reduced AMP gene expression. Fur-thermore, over-expression of a JNK pathway-inhibitor also inhibited AMP gene expression. Lastly, I have studied transcription factors that have not previously been implicated in transcriptional regulation of AMP genes. In a yeast screen, three members of the POU family of transcription factors were identified as regulators of CecA1. Two of them, Drifter (Dfr) and POU do-main protein 1 (Pdm1) were further characterized. We showed that Dfr was able to promote AMP gene expression in the absence of infection, suggest-ing it to play a role in constitutive expression of AMP genes. Indeed, down-regulation of Dfr expression using RNAi severely reduced the constitutive expression of AMP genes in the male ejaculatory duct. We also identified an enhancer element important for Dfr-mediated expression of CecA1. Pdm1, on the other hand, was shown to be important for the systemic expression of AMP genes. In Pdm1 mutant flies, several AMP genes are systemically expressed even in the absence of infection, suggesting that Pdm1 works as a repressor of those genes. However, at least on AMP gene, AttacinA (AttA) requires Pdm1 for its expression, suggesting that Pdm1 works as an activator for this gene. Upon infection, Pdm1 was rapidly degraded, but, regenerated shortly after infection. We propose that the degradation of Pdm1 is important for the activation of the Pdm1-repressed genes and that regeneration sup-ports the expression of AttA.

The fruit fly Drosophila melanogaster has been a powerful model system in which to study the immune response. When microorganisms breach the mechanical barrier of the insect, phagocytosing cells and a battery of induced antimicrobial molecules rapidly attack them. These antimicrobial peptides can reach micromolar concentrations within a few hours. This immediate response is reminiscent of the mammalian innate immune response and utilizes transcription factors of the NF-κB family. We have generated loss-of-function mutants of the NF-κB-like transcription factor Relish in order to investigate Relish's role in the Drosophila immune response to microbes. Relish mutant flies have a severely impaired immune response to Gram-negative (G-) bacteria and some Gram-positive (G+) bacteria and fungi and succumb to an otherwise harmless infection. The main reason for the high susceptibility to infection is that these mutant flies fail to induce the antimicrobial peptide genes. The cellular responses appear to be normal. Relish is retained in the cytoplasm in an inactive state. We designed a set of expression plasmids to investigate the requirements for activation of Relish in a hemocyte cell line after stimulation with bacterial lipopolysaccharide. Signal-induced phosphorylation of Relish followed by endoproteolytic processing at the caspase-like target motif in the linker region released the inhibitory ankyrin-repeat (ANK) domain from the DNA binding Rel homology domain (RHD). Separation from the ANK domain allowed the RHD to move into the nucleus and initiate transcription of target genes like those that encode the inducible antimicrobial peptides, likely by binding to κB-like sites in the promoter region. By studying the immune response of the Relish mutant flies in combination with mutants for another NF-κB-like protein, Dorsal-related immunity factor (Dif), we found that the Drosophila immune system can distinguish between various microbes and generate a differential response by activating the Toll/Dif and Imd/Relish pathways. The recognition of foreign microorganisms is believed to occur through pattern recognition receptors (PRRs) that have affinity for selective pathogen-associated molecular patterns (PAMPs). We found that the Drosophila PRRs can recognize G- bacteria as a group. Interestingly, the PRRs are specific enough to distinguish between peptidoglycans from G+ bacteria such as Micrococcus luteus and Bacillus megaterium and fungal PAMPs from Beauveria bassiana and Geotrichum candidum. This thesis also investigates the expression of the antimicrobial peptide genes, Diptericin B and Attacin C, and the putative intracellular antimicrobial peptide gene Attacin D, and explores a potential evolutionary link between them.

The emergence of pathogens resistant to available drug therapies is a pressing global health problem. Antimicrobial peptides (AMPs) may potentially form new therapeutics to counter these pathogens. AMPs are key components in the mammalian innate immune system and are responsible for both direct killing and immunomodulatory effects in host defense against pathogenic organisms. This thesis describes computational methods for the identification of novel natural and synthetic AMPs. A bioinformatic resource was constructed for classification and discovery of gene- coded AMPs, consisting of a database of clustered known AMPs and a set of hidden Markov models (HMMs). One set of 146 clusters was based on the mature peptide sequence, and one set of 40 clusters was based on propeptide sequence. The bovine genome was analyzed using the AMPer resources, and 27 of the 34 known bovine AMPs were identified with high confidence and up to 69 AMPs were predicted to be novel peptides. One novel cathelicidin AMP was experimentally verified as up-regulated in response to infection in bovine intestinal tissue. A chemoinformatic analysis was performed to model the antibacterial activity of short synthetic peptides. Using high-throughput screening data for the activities of over 1400 peptides of diverse sequence, quantitative structure-activity relation (QSAR) models were created using artificial neural networks and physical characteristics of the peptide that included three-dimensional atomic structure. The models were used to predict the activity of a set of approximately 100,000 peptide sequence variants. After ranking the predicted activity, the models were shown to be very accurate. When 200 peptides were synthesized and screened using four levels of expected activity, 94% of the top 50 peptides expected to have the highest level of activity were found to be highly active. Several promising candidates were synthesized with high quality and tested against several multi- antibiotic-resistant pathogens including clinical strains of Pseudomonas aeruginosa, Staphylococcus aureus, Enterococcus faecalis and Escherichia coli. These peptides were found to be highly active against these pathogens as determined by minimal inhibitory concentration; this serves as independent confirmation of the effectiveness of high-throughput screening and in silico analysis for identifying peptide antibiotic drug leads.

Antimicrobial peptides (AMPs) are not only fast microbe-killing molecules deployed in the host defense of living organisms but also offer valuable lessons for developing new therapeutic agents. While the mode of action of AMPs is not clearly understood yet, membrane perturbation has been recognized as a crucial step in the microbial killing mechanism of many AMPs. In this thesis, we first present a physical basis for the selective membrane-disrupting activity of cationic AMPs. To this end, we present a coarse-grained physical model that approximately captures essential molecular details such as peptide amphiphilicity and lipid composition (e.g., anionic lipids). In particular, we calculate the surface coverage of peptides embedded in the lipid headgroup-tail interface and the resulting membrane-area change, in terms of peptide and membrane parameters for varying salt concentrations. We show that the threshold peptide coverage on the membrane surface required for disruption can easily be reached for microbes, but not for the host cell -- large peptide charge (≳4) is shown to be the key ingredient for the optimal activity-selectivity of AMPs (in an ambient-salt dependent way). Intriguingly, we find that in a higher-salt environment, larger charge is required for optimal activity. Inspired by membrane softening by AMPs, we also study electrostatic modification of lipid headgroups and its effects on membrane curvature. Despite its relevance, a full theoretical description of membrane electrostatics is still lacking -- in the past, membrane bending has often been considered under a few assumptions about how bending modifies lipid arrangements and surface charges. Here, we present a unified theoretical approach to spontaneous membrane curvature, C₀, in which lipid properties (e.g., packing shape) and electrostatic effects are self-consistently integrated. Our results show that C₀ is sensitive to the way lipid rearrangements and divalent counterions are modeled. Interestingly, it can change its sign in the presence of divalent counterions, thus stabilizing reverse hexagonal (H_II) phases.