Characterization of the Hemagglutinin Cleaving Transmembrane Serine Proteases Matriptase and TMPRSS2

Influenza is one of the commonest infectious diseases affecting millions of people every year including 290,000 – 650,000 heavy casualties. Influenza viruses undergo constant genetic changes and every 10 – 50 years new influenza virus strains emerge that potentially cause a severe pandemic. In this modern interconnected world, experts believe the next influenza pandemic will be a “devastating global health event with far-reaching consequences” [1]. Novel effective anti-influenza drugs are in need. One strategy of influenza research is to focus on host-specific proteases that are essential for virus activation and spread. Trypsin-like serine proteases are crucial for influenza activation by mediating the cleavage of the viral surface glycoprotein HA and hence promoting the fusion potential of the virus. Therefore, their inhibition provides a promising therapeutic approach. The present work focused on the characterization of two relevant HA cleaving type-II transmembrane serine proteases matriptase and TMPRSS2. Chapter 3 and chapter 4 of this thesis engaged with the recombinant production of matriptase (chapter 3) in order to obtain a pure functional enzyme of high quality for a SAR study with novel monobasic (hence potentially bioavailable) matriptase inhibitors of the 3-amidinophenylalanine type (chapter 4). Adequate amounts of high-quality matriptase enzymes were isolated using a new expression system and in total 5 matriptase crystals were available at the end of this thesis for structural analysis. The matriptase inhibitor design in this thesis focused on matriptase-affine compounds with a fair selectivity profile against the blood coagulation enzymes thrombin and fXa. In total, 18 new monobasic and potentially bioavailable, as well as four new dibasic compounds of the 3-amidinophenylalanine types were tested. Based on the last published crystal structure of this inhibitor type in complex with matriptase from 2006 (PDB code 2GV6) docking was used as a structure-based virtual screening method for lead optimization of the compounds N-terminus. Selected compounds were suggested to interact with the carbonyl side chain of Gln175 of matriptase to achieve a higher affinity of matriptase compared to fXa. The 4-tert-butylureido-piperidine could be identified as suitable C-terminus in combination with 3-fluoro-4-hydroxymethyl biphenylsulphonyl N-terminally in order to obtain excellent selectivity over thrombin. The binding mode of this compound (compound 55) was crystallographically determined in complex with matriptase as well as trypsin. Trypsin proved as a suitable alternative to matriptase for detailed binding mode analysis of the compounds N-terminus. However, different preferences were detected for the C-terminus. Dibasic compounds showed higher matriptase affinity and selectivity in comparison with the monobasic analogues. However, the tested monobasic compounds were still decent matriptase inhibitors that are additionally suitable for cell culture and animal studies in their benzamidine prodrug forms, which are well established from related inhibitors of thrombin. In addition, selected monobasic as well as dibasic compounds demonstrated strong suppression of the replication of certain H9N2 influenza viruses in a matriptase-expressing MDCK II cell model. These matriptase inhibitors could be potential lead structures for the development of new drugs against H9 strains for influenza. TMPRSS2 is widely discussed for its role in influenza activation. With a TMPRSS2 dependancy of HA-activation of certain subtypes, the characterization of this protease is an important prerequisite for being available as a target for influenza drug design. However, only little is known about the physiological function of TMPRSS2 and no experimental structure data are available at the moment to enable a structure-based drug development. Therefore, chapter 5 of this thesis focused on the characterization of TMPRSS2 in order to develop a strategy for the isolation of proteolytically active TMPRSS2 from cell culture. Even though, no functional TMPRSS2 could be recovered at the end of this work some new structural characteristics of TMPRSS2 were identified as crucial for functionality insight the cell. In general, TMPRSS2 without the cytosolic part, the transmembrane domain and the LDLRA domain is able to undergo autocatalytically activation if an artificial signal peptide was added N-terminal to enable entry into the endoplasmic reticulum. The presence of the cysteine-rich SRCR domain and the presence of the disulfide chain that connects the SPD and the stem region after activation cleavage have been identified as crucial for activity. N-terminal truncation of TMPRSS2 did not result in obvious dislocation within the cell: as the full-length positive control truncated TMPRSS2 was exclusively found in cell compartments surrounding the nucleus in immunofluorescence experiments. However, a reduced proteolytic cleavage activity towards H3-HA in co-expression experiments has been observed and might be a result of dislocation, since truncated TMPRSS2 is not bound to the biomembrane anymore. In addition, TMPRSS2 has been identified as a potential substrate of matriptase in vitro, which suggests possible participation in several zymogen cascades

Computational Reverse-Engineering of a Spider-Venom Derived Peptide Active Against Plasmodium falciparum SUB1

merozoites and invasion into erythrocytes. As PfSUB1 has emerged as an interesting drug target, we explored the hypothesis that PcFK1 targeted PfSUB1 enzymatic activity. culture in a range compatible with our bioinformatics analysis. Using contact analysis and free energy decomposition we propose that residues A14 and Q15 are important in the interaction with PfSUB1.Our computational reverse engineering supported the hypothesis that PcFK1 targeted PfSUB1, and this was confirmed by experimental evidence showing that PcFK1 inhibits PfSUB1 enzymatic activity. This outlines the usefulness of advanced bioinformatics tools to predict the function of a protein structure. The structural features of PcFK1 represent an interesting protein scaffold for future protein engineering

Hydrolases

This book gives a current review of the links between the structure and function of hydrolases and ligases, as well as ideas for better using these critical enzymes. The book is split into two sections: “Cleavage” and “Ligases.” These enzymes are the biggest and most varied family of enzymes, allowing researchers to investigate the structural variety that underpins their different biological roles. In light of recent scientific advances, there is a desire to examine and update our knowledge of these enzymes’ functional and structural changes

Hepatitis C Virus Non-Structural Protein 3/4A: A Tale of Two Domains: A Dissertation

Two decades after the discovery of the Hepatitis C Virus (HCV), Hepatitis C infection still persists to be a global health problem. With the recent approval of the first set of directly acting antivirals (DAAs), the rate of sustained viral response for HCV-infected patients increased significantly. However, a complete cure has not been found yet. Drug development efforts primarily target NS3/4A protease, bifunctional serine protease-RNA helicase of HCV. HCV NS3/4A is critical in viral function; protease domain processes the viral polyprotein and helicase domain aids replication of HCV genome by unwinding double stranded RNA transcripts produced by NS5B, RNA-dependent RNA polymerase of HCV. Protease and helicase domains can be isolated, expressed and purified separately while retaining function. Isolated domains of HCV NS3/4A have been extensively used in biochemical and biophysical studies for scientific and therapeutic purposes to evaluate functional capability and mechanism. However, these domains are highly interdependent and modulate the activities of each other bidirectionally. Interdomain dependence was demonstrated in comparative studies where activities of isolated domains versus the full length protein were evaluated. Nevertheless, specific factors affecting interdependence have not been thoroughly studied. Chapter II investigates the domain-domain interface formed between protease and helicase domains as a determinant in interdependence. Molecular dynamics simulations performed on single chain NS3/4A constructs demonstrated the importance of interface in the coupled dynamics of the two domains. The role of the interface in interdomain communication was experimentally probed by disrupting the domain-domain interface through Ala-scanning mutations in selected residues in the interface with significant buried surface areas. These interface mutants were assayed for both helicase and protease related activities. Instead of downregulating the activities of either domain, interface mutants caused enhancement of protease and helicase activities. In addition, the interface had minimal effect in RNA unwinding activity of the helicase domain, the mere presence of the protease domain was the main protagonist in elevated RNA unwinding activity. In conclusion, I suspect that the interface formed between the domains is transient in nature and plays a regulatory role more than a functional role. In addition, I found results supporting the suggestion that an alternate domain-domain arrangement other than what is observed in crystal structures is the active, biologically relevant conformation for both the helicase and the protease. Chapter III investigates structural features of HCV NS3/4A protease inhibitors in relation to effects on inhibitor potency, susceptibility to drug resistance and modulation of potency by the helicase domain. Nearly all NS3/4A protease inhibitors share common features, with major differences only in bulky P2 extension groups and macrocyclization statuses. Enzymatic inhibition profiles of different drugs were analyzed for wildtype isolated protease domain and single chain NS3/4A helicase-protease construct, their multi drug resistant variants, and additional helicase mutants. Inhibitor potency was mainly influenced by macrocyclization, where macrocyclic drugs were significantly more potent compared to acyclic variants. Potency loss with respect to resistance mutations primarily depended on the P2 extension, while macrocyclization had minimal effect except for P2-P4 macrocyclic compounds which were up to an order of magnitude more susceptible to mutations A156T and, in lesser extent, D168A. Modulation by helicase domain was also dependent on P2 extension, although opposite trends were observed for danoprevir analogs versus others. In conclusion, this study provides a basis for future inhibitor development in both avoiding drug resistance and exploitation of the helicase domain for additional efficacy. In this thesis, I have provided evidence further supporting and revealing the details of domain-domain dependency in HCV NS3/4A. Lessons learned here will aid future research for dissecting the interdependency to gain a better understanding of HCV NS3/4A function, which can possibly be extended to all Flaviviridae NS3 protease-helicase complexes. In addition, interdomain dependence can be exploited in future drug development efforts to create better drugs that will pave the way to an effective cure

A structural classification of protein-protein interactions for detection of convergently evolved motifs and for prediction of protein binding sites on sequence level

BACKGROUND: A long-standing challenge in the post-genomic era of Bioinformatics is the prediction of protein-protein interactions, and ultimately the prediction of protein functions. The problem is intrinsically harder, when only amino acid sequences are available, but a solution is more universally applicable. So far, the problem of uncovering protein-protein interactions has been addressed in a variety of ways, both experimentally and computationally. MOTIVATION: The central problem is: How can protein complexes with solved threedimensional structure be utilized to identify and classify protein binding sites and how can knowledge be inferred from this classification such that protein interactions can be predicted for proteins without solved structure? The underlying hypothesis is that protein binding sites are often restricted to a small number of residues, which additionally often are well-conserved in order to maintain an interaction. Therefore, the signal-to-noise ratio in binding sites is expected to be higher than in other parts of the surface. This enables binding site detection in unknown proteins, when homology based annotation transfer fails. APPROACH: The problem is addressed by first investigating how geometrical aspects of domain-domain associations can lead to a rigorous structural classification of the multitude of protein interface types. The interface types are explored with respect to two aspects: First, how do interface types with one-sided homology reveal convergently evolved motifs? Second, how can sequential descriptors for local structural features be derived from the interface type classification? Then, the use of sequential representations for binding sites in order to predict protein interactions is investigated. The underlying algorithms are based on machine learning techniques, in particular Hidden Markov Models. RESULTS: This work includes a novel approach to a comprehensive geometrical classification of domain interfaces. Alternative structural domain associations are found for 40% of all family-family interactions. Evaluation of the classification algorithm on a hand-curated set of interfaces yielded a precision of 83% and a recall of 95%. For the first time, a systematic screen of convergently evolved motifs in 102.000 protein-protein interactions with structural information is derived. With respect to this dataset, all cases related to viral mimicry of human interface bindings are identified. Finally, a library of 740 motif descriptors for binding site recognition - encoded as Hidden Markov Models - is generated and cross-validated. Tests for the significance of motifs are provided. The usefulness of descriptors for protein-ligand binding sites is demonstrated for the case of "ATP-binding", where a precision of 89% is achieved, thus outperforming comparable motifs from PROSITE. In particular, a novel descriptor for a P-loop variant has been used to identify ATP-binding sites in 60 protein sequences that have not been annotated before by existing motif databases

Effectiveness Of Ultrafiltration On The Recovery And Reuse Of Liquid Enzymes In The Production Of Biodiesel

This research evaluated the use of enzyme catalysts in the production of biodiesel. Traditionally, biodiesel production uses a base or acid catalyst to convert triglycerides (TG) and free fatty acids (FFA) into fatty acid methyl esters (FAME) or biodiesel. Enzyme catalysts have the potential to offer environmental and economic advantages by utilizing lower quality feedstocks, producing a higher value glycerol co-product, and being a more energy efficient process. For enzymes to be economically advantageous they must be recovered and reused for multiple batches. Two enzyme recovery techniques of a simple settling method versus ultrafiltration were compared. Pilot-scale runs were completed where each run used a single, initial dose of enzymes to catalyze four batches. The runs compared recovery methods, where the effectiveness of enzyme reuse was determined by the percent conversion of TG and FFA to FAME as the enzyme continued to be reused. Gas chromatography was used to determine the amount of TGs consumed throughout each batch. While both techniques resulted in loss of enzymes, the loss in activity was 47% using filtration compared to 73% without. Although findings are preliminary, this study shows promise for ultrafiltration to provide cost savings through better enzyme recovery and reduced production time

Make Antibiotics Great Again: Combating Drug Resistance By Targeting Lexa, A Regulator Of Bacterial Evolution

The ability of bacterial pathogens to evolve and adapt to our antimicrobial agents has precipitated a global health crisis where treatment options for bacterial infections are running low. Recently, studies have shown that the ability to acquire resistance is linked to the SOS response, which is a widely conserved network of genes involved in both high fidelity and error-prone DNA damage repair. The SOS response is regulated by the DNA-binding protein, RecA, and a repressor-protease, LexA. When the cell experiences stress, which can be caused by antibiotics, RecA polymerizes along single-stranded DNA and thereby stimulates LexA to undergo a conformational change and self-cleavage reaction (autoproteolysis). LexA self-cleavage de-represses downstream SOS genes, which are involved in both stress tolerance and mutagenesis. Various studies have shown that inactivating LexA autoproteolysis can both reduce the viability of bacteria under antibiotic stress and impede their ability to acquire resistance. These results therefore suggest that targeting LexA therapeutically could offer a novel way to combat the rise of resistance in pathogens, although to date no LexA inhibitors have been found. To facilitate the development of such therapeutics, we focused our efforts on examining LexA from 1) biochemical, 2) microbiological, and 3) drug discovery perspectives. On the biochemical front, we elucidated the substrate preference of LexA’s serine protease active site to form a better understanding of the target enzyme’s active site architecture. Performing saturation mutagenesis on the LexA’s internal cleavage loop, we showed that LexA possesses a unique active site, revealing residues involved in specific molecular recognition and conformational change. On the microbiological front, we examined how different LexA activities can impact bacterial drug susceptibility and stress-induced mutagenesis. Employing engineered E. coli strains with a spectrum of SOS activities, we showed that modulating LexA activity can increase bacterial susceptibility to antibiotics, while also tuning stress-induced mutagenesis. Finally, on the drug discovery front, we designed a high-throughput screen that enabled us to discover small molecule inhibitors of the LexA/RecA axis in collaboration with GlaxoSmithKline. Together, this work provides a multi-pronged foray into developing therapeutics that target the SOS pathway and combat the rise of antibiotic resistance