<p>The human interactome presents a goldmine of potentially powerful therapeutic targets, yet very few small molecule modulators of protein-protein interactions (PPI) have been identified. PPI pose a particular challenge for drug discovery, and one of the major obstacles to fully exploiting these interactions is a lack of appropriate technologies to screen for modulating compounds. This thesis aims to address the need for function- based approaches that target PPI by using magnetic beads (MB) and mass spectrometry (MS) to develop efficient assays to monitor these interactions and their modulation by small molecules. The work begins with the validation of a novel magnetic “fishing” assay, which uses affinity-capture MB to isolate intact complexes of a “bait” protein from solution. By monitoring the recovery of the secondary binding partner, this assay was used to functionally screen a library of 1000 compounds for small molecule modulators of a calmodulin/melittin (CaM/Mel) model system. The versatility of magnetic “fishing” is clearly demonstrated during a study of a more relevant CaM-based system, which uncovered a novel mode of interaction for the CaM-binding domain of transcription factor SOX9. In addition to the MB-based approach, a simple MS-based competitive displacement assay is developed to identify minimal inhibitory fragments of a target complex as indicators of potential ‘hot-spots’. The assay was used to probe a DNA repair complex of XRCC4/ligaseIV, and identified a short helix that can be used as a more defined target surface for future high-throughput screening and rational drug design. The functional MS-based assays herein are highly adaptable tools to monitor PPI, and will facilitate the study of these and other important biomolecular interactions.</p> / Doctor of Philosophy (PhD)

This work presents the application of spiroligomers as inhibitors of protein-protein interactions. After the discovery of an acyl-transfer coupling reaction by Dr. Zachary Brown, a previous graduate student of Schafmeister group, the synthesis of highly functionalized spiroligomers that mimic the helical domain of p53 was undertaken before each molecule was tested for binding to HDM2, a natural binding partner of p53. A library of molecules was synthesized on solid support that altered the stereochemistry along the spiroligomer as well as the presented functional groups. It was determined that spiroligomers enter human liver cancer cells through passive diffusion and induces a biological response in both a dose- and time-dependent manner. The synthesis of additional spiroligomer analogues achieved low micromolar to high nanomolar range activity during screening in direct and competitive binding assays. In parallel to the project above, a series of spiroligomers that mimic the side chains of the leucine zipper region of Max were synthesized in an effort to disrupt the interaction of the protein with c-Myc. The series of compounds contained various stereocenter combinations and different functional groups as before but were made in solution before testing for inhibition. Initial binding assays resulted in low micromolar activity, however, secondary assays (ELISA and cellular assays) did not confirm the inhibitory effect of spiroligomers on the c-Myc/Max heterodimer. In summary, this work illustrates that spiroligomers are capable mimics of helical peptides and can induce a biological response. / Chemistry

This research presents a new approach to creating large, complex molecules to carry out molecular recognition and catalytic functions mimicking biological proteins. Development of new therapeutics that bind protein surfaces and disrupt protein-protein interactions was first addressed targeting the envelope transmembrane protein in HIV-1, gp41. In this work, spiroligomer inhibitors of gp41 were designed and synthesized, and then the biochemical activity was tested. Rationally designed inhibitors were developed using computational modeling with the Molecular Operating Environment software (MOE). To build the desired molecular shape according to the design, C-2 alkylation of a bis-amino acid monomer was investigated to synthesize the higher degree of bis-amino acids with various reaction conditions for access to all possible diastereomers. Based on this design and synthetic methodology, a spiroligomer targeting gp41 was built by synthesizing each monomer and then linking them together by diketopiperazine (DKP). For the biological evaluation, the gp41-5 gene was transformed into E. coli and the protein was expressed, purified, and refolded for an in vitro binding test. A direct binding, fluorescence polarization assay was used to evaluate the binding affinity of the functionalized spiroligomer to the gp41-5 protein. Its antiviral activity was assessed in collaboration with the Chaiken lab at Drexel University. In addition, investigation into how the unique structures provided by the spiroligomer backbone allow for various uses, such as functionalized struts in porous organic polymers (POPs). In the large internal space of a POP, a nucleophilic, catalytic spiroligomer was installed to increase the reaction rate for the hydrolysis of methyl paraoxon (a neurotoxin G agent stimulant). Spiroligomers were designed and synthesized with backbone DMAP moieties, and the activity of these catalysts was analyzed in collaboration with the Hupp lab at Northwestern University. / Chemistry

<p> Malic enzymes catalyze the oxidative decarboxylation of malate to pyruvate with the simultaneous reduction of a nicotinamide cofactor. It was previously reported that the nitrogen-fixing bacterium, Sinorhizobium meliloti, has two malic enzymes, a diphosphopyridine-dependent malic enzyme (DME) and a triphosphopyridine-dependent malic enzyme (TME). The dme gene is essential for symbiotic nitrogen-fixation in alfalfa root nodules and this symbiotic requirement cannot be met through increased expression of tme. In order to determine if a metabolic difference exists between the dme and tme mutants which might explain the symbiotic phenotypes, we conducted an analysis of intracellular and extracellular polar metabolomes. Differences noted between the intracellular profiles of the dme and tme mutant strains hinted at osmotic stress or a disturbance in central carbon metabolism. Extracellular studies indicated that dme mutant cells excreted at least 10-fold greater concentrations of both malate and fumarate. When considered together, the metabolic data implies that the DME enzyme is primarily responsible for the conversion of malate to pyruvate to generate acetyl-CoA whereas the TME enzyme must serve a secondary function within the cell.</p> <p> While the C-terminal 320 amino acid regions from both DME and TME are similar in sequence to phosphotransacetylase enzymes, enzyme assays with DME and TME proteins have failed to detect PTA activity. Here we report that the chimeric malic enzyme structure is conserved among various gram negative bacteria including Agrobacterium tumefaciens, Escherichia coli, Bradyrhizobium japonicum and Porphyromonas gingivalis. Moreover these chimeric proteins are also present in the archaebacteria. Halobacterium salinarum and Haloarcula marismortui. To further our understanding of the functions of DME and TME in S. meliloti, we have fused protein domains from DME to an affinity tag consisting of strepII and a calmodulin binding peptide. To identify proteins interacting with this fusion, we expressed these protein fusion constructs in S. meliloti, prepared extracts containing the soluble proteins and passed these through tandem affinity chromatography columns. All proteins that coeluted with the fusion proteins appeared to be interacting with antibodies specific for the DME protein and so may have been aggregates or break-down products of DME.</p> / Thesis / Master of Science (MSc)

Work on a wide variety of metabolic pathways indicates that these systems are often, if not always, organized as multienzyme complexes. Enzyme complexes have the potential to increase catalytic efficiency and provide unique mechanisms for the regulation of cellular metabolism. The flavonoid biosynthetic pathway of Arabidopsis is an excellent model for studying the organization, localization, and regulation of enzyme complexes at the cellular level. Flavonoids are specialized metabolites that perform many important physiological roles in plants. Protein interactions among several key flavonoid enzymes have been described. Moreover, at least two of the flavonoid enzymes have a dual cytoplasmic/nuclear localization. These results indicate that flavonoid enzymes assemble into one or more distinct complexes at different intracellular locations. The current study integrates a new technology, mass spectrometry, with well-established affinity chromatography methods to further characterize the organization and composition of the Arabidopsis flavonoid enzyme complex. One of the key flavonoid enzymes, chalcone isomerase (CHI), was used in these experiments to detect interacting enzymes. Recombinant thioredoxin (TRX), or TRX-CHI, was produced in E. coli, then purified by metal affinity chromatography, and covalently coupled to an activated resin, Affi-Gel 10. Extracts prepared from 4-day-old wild type or CHI-deficient lines of Arabidopsis were then passed over the column and the bound proteins eluted with sodium dedocyl sulfate (SDS). This eluate was then subjected to a liquid chromatography (LC) - mass spectrometry (MS) protocol developed for the analysis of complex peptide mixtures. An Agilent LC system coupled with an LTQ-MS instrument (Thermo Electron, San Jose, CA) was used for this purpose. Data analysis was performed with the Bioworks software package. Different optimization strategies were performed to improve the affinity chromatography, sample preparation, and the LC separation method. A novel approach has been developed for the MS analysis of biological samples containing contaminants such as salts and detergents. Protein extracts prepared from wild type Landsburg and mutant tt5(86) were analyzed by LC-MS/MS. A total of 491 proteins were identified for Landsburg and 633 for tt5(86) extracts using a combination of data filters and p-value sorting. All detected proteins had p<0.001 and most were identified by at least 2 unique peptides. / Master of Science

Myxococcus xanthus Dif proteins are chemotaxis homologues that regulate exopolysaccharide (EPS) biogenesis. Previous genetic studies suggested that Dif protein might interact with one another as do the chemotaxis proteins in enterics. The interactions among Dif proteins were since investigated with the yeast two-hybrid (Y2H) system. The results indicate that DifC interacts with both DifA and DifE. Using a modified Y2H system, DifC was shown to be able to bring DifA and DifE into a protein complex. Further Y2H experiments demonstrated that the different conserved domains of DifE likely function as their counterparts of CheA-type kinases because the putative P2 domain of DifE interacts with DifD, P5 with DifC and the dimerization domain P3 with itself. Similarly, DifA can interact with itself through its C-terminal region. In addition, DifG was found to interact with the CheY homologue DifD. These findings support the notion that Dif proteins constitute a unique chemotaxis-like signal transduction pathway in M. xanthus. In addition, KapB, a TPR (Tetratricopeptide repeats) protein, was identified as an interacting partner of DifE byY2H library screening. Further analysis demonstrated that the N-terminal half of KapB interacted with the putative P2 domain of DifE. KapB had been previously reported to interact with several Serine/Threonine (Ser/Thr) kinase pathways including the Pkn4-Pfk pathway. This pathway is implicated in glycogen metabolism in M. xanthus by a previous report. In this study, kapB as well as pfkn deletion mutants were found to overproduce EPS. It was also found that the Dif pathway is involved in glycogen metabolism because the glycogen level is altered in dif mutants. These results indicate EPS biogenesis and glycogen metabolism may be coordinately regulated. This coordination of the Dif-regulated EPS production and the Pkn4-regulated glycogen metabolism appears to involve KapB. This is the first example of a TPR protein mediating the interplays of a histidine kinase pathway and a Ser/Thr kinase pathway. / Master of Science

The rapid identification of protein-protein interactions has been significantly enabled by mass spectrometry (MS) proteomics-based methods, including affinity purification-MS, crosslinking-MS, and proximity-labeling proteomics. While these methods can reveal networks of interacting proteins, they cannot reveal how specific protein-protein interactions alter cell signaling or protein function. For instance, when two proteins interact, there can be emergent signaling processes driven purely by the individual activities of those proteins being co-localized. Alternatively, protein-protein interactions can allosterically regulate function, enhancing or suppressing activity in response to binding. In this work, we investigate the interaction between the tyrosine phosphatase PTP1B and the adaptor protein Grb2, which have been annotated as binding partners in a number of proteomics studies. This interaction has been postulated to co-localize PTP1B with its substrate IRS-1 by forming a ternary complex, thereby enhancing the dephosphorylation of IRS-1 to suppress insulin signaling. Here, we report that Grb2 binding to PTP1B also allosterically enhances PTP1B catalytic activity. We show that this interaction is dependent on the proline-rich region of PTP1B, which interacts with the C-terminal SH3 domain of Grb2. Using NMR spectroscopy and hydrogen-deuterium exchange mass spectrometry (HDX-MS) we show that Grb2 binding alters PTP1B structure and/or dynamics. Finally, we use MS proteomics to identify other interactors of the PTP1B proline-rich region that may also regulate PTP1B function similarly to Grb2. This work presents one of the first examples of a protein allosterically regulating the enzymatic activity of PTP1B and lays the foundation for discovering new mechanisms of PTP1B regulation in cell signaling.

Computational prediction of intra- and intermolecular interactions, specifically intra- protein residue-residue interactions and the interaction sites in between proteins and other macromolecules, are critical for understanding numerous biological processes. The existing methods fall short in estimating the quality of intra-protein interactions. Moreover, the methods for predicting intermolecular interactions fail to harness some of the latest technological advancements such as advances in pretrained protein and RNA language models and struggle to effectively integrate predicted structural information, thus limiting their predictive modeling accuracy. Hence, my objectives include (1) the development of computational methods for protein structure modeling through the estimation of intra-protein interactions, (2) the development of computational methods for predicting protein- protein interaction sites leveraging the latest deep learning architectures and predicted structural information, and (3) extending the scope beyond protein-protein interactions to develop novel computational methods to predict protein-nucleic acid interactions informed by protein and RNA language models. The major benefits of achieving these objectives for the broader scientific community are the following: (1) intra-protein interaction estimation methods have the potential to enhance the accuracy of protein structure modeling, and (2) the methods for predicting protein-protein and protein-nucleic acid interaction will deepen our understanding of biomolecular interactions in cell, even when experimentally determined molecular structures are not available. / Doctor of Philosophy / My research focuses on developing accurate computational predictive modeling methods centering to biomolecular interactions. Proteins, one of the most important biomolecules, fold into stable three-dimensional forms to perform specific tasks in the cell. Recognizing the importance of this information in the absence of ground truth three-dimensional structures, I developed computational methods to predict the folded three-dimensional structures of proteins, utilizing intra-protein atomic interactions and for the quality estimation of those interactions. Since proteins not only fold themselves but also interact with other proteins and biomolecules such as nucleic acids, which is crucial for many biological processes, I expanded my research from intra-protein interactions to predicting interactions between proteins and other molecules. In particular, using advanced computational techniques, I developed methods for predicting protein-protein and protein-nucleic acid interactions. The research outcomes not only outperform existing state-of-the-art computational methods by overcoming their limitations but also have potential applications in designing effective therapies and combating diseases, ultimately improving the health sector through their large-scale predictability. All the scientific tools resulting from the research are publicly available, fascinating knowledge sharing and collaboration within and beyond the scientific community.

No description available.

Thesis (MScMedSc (Biomedical Sciences. Molecular Biology and Human Genetics))--University of Stellenbosch, 2009. / The human ether-à-go-go-related gene (HERG) encodes the protein underlying the cardiac potassium current IKr. Mutations in HERG may produce defective channels and cause Long QT Syndrome (LQTS), a cardiac disease affecting 1 in 2500 people. The disease is characterised by a prolonged QT interval on a surface electrocardiogram and has a symptomatic variability of sudden cardiac death in childhood to asymptomatic longevity. We hypothesised that genetic variation in the proteins that interact with HERG might modify the clinical expression of LQTS. Yeast two-hybrid methodology was used to screen a human cardiac cDNA library in order to identify putative HERG N-terminus ligands. Successive selection stages reduced the number of putative HERG ligandcontaining colonies (preys) from 268 to 8. Putative prey ligands were sequenced and identified by BLAST-search. False positive ligands were excluded based on their function and subcellular location. Three strong candidate ligands were identified: Rhoassociated coiled-coil containing kinase 1 (ROCK1), γ-sarcoglycan (SGCG) and microtubule-associated protein 1A (MAP1A). In vitro co-immunoprecipitation (Co-IP) and mammalian two-hybrid (M2H) analyses were used to validate these proposed interactions, but failed to do so. This should be further investigated. Analysis of confirmed interactions will shed light on their functional role and might contribute to understanding the symptomatic variability seen in LQTS.