To kill a piroplasm: genetic technologies to advance drug discovery and target identification in Babesia

Babesia parasites infect a diverse range of vertebrate hosts, from penguins to pigs. Recently, the emergence of zoonotic Babesia infection has been increasing, and the list of species reported to infect humans continues to grow. Babesiosis represents a burgeoning veterinary and medical threat, and the need for novel therapeutic drugs to effectively target this diverse group of parasites is pressing. Here, we review the current culture systems that exist to study and manipulate Babesia parasites, and identify the scope and methods for target discovery and validation to identify novel, potent anti-babesial inhibitors. Challenges exist including difficulties in the culture systems of important zoonotic parasites, and there is a lack of integrated morphological and molecular data. While molecular approaches in several Babesia spp. has become a reality, the ability to rapidly identify and validate drug targets is hindered by a lack of sophisticated genetic tools to probe parasite biology. The minimal genome size and haploid nature of blood-stage Babesia parasites presents an opportunity to adapt techniques from related systems and characterise the druggable genomic space in a high-throughput way. The considerable diversity of parasites within the genus suggests the existence of highly divergent biology and polymorphism that could present a formidable barrier to the development of a pan-babesiacidal therapeutic strategy.     

ATP synthase in mycobacteria: Special features and implications for a function as drug target

ATP synthase is a ubiquitous enzyme that is largely conserved across the kingdoms of life. This conservation is in accordance with its central role in chemiosmotic energy conversion, a pathway utilized by far by most living cells. On the other hand, in particular pathogenic bacteria whilst employing ATP synthase have to deal with energetically unfavorable conditions such as low oxygen tensions in the human host, e.g. Mycobacterium tuberculosis can survive in human macrophages for an extended time. It is well conceivable that such ATP synthases may carry idiosyncratic features that contribute to efficient ATP production. In this review genetic and biochemical data on mycobacterial ATP synthase are discussed in terms of rotary catalysis, stator composition, and regulation of activity. ATP synthase in mycobacteria is of particular interest as this enzyme has been validated as a target for promising new antibacterial drugs. A deeper understanding of the working of mycobacterial ATP synthase and its atypical features can provide insight in adaptations of bacterial energy metabolism. Moreover, pinpointing and understanding critical differences as compared with human ATP synthase may provide input for the design and development of selective ATP synthase inhibitors as antibacterials. This article is part of a Special Issue entitled: 18th European Bioenergetic Conference.     

Proteome based mapping and molecular docking revealed DnaA as a potential drug target against Shigella sonnei

Shigella sonnei is one of the major causes of diarrhea and remained a critical microbe responsible for higher morbidity and mortality rates resulting from dysentery every year across the world. Antibiotic therapy of Shigella diseases plays a critical role in decreasing the prevalence as well as the fatality rate of this infection. However, the management of these diseases remains challenging, owing to the overall increase in resistance against many antimicrobials. The situation necessitates the rapid development of effective and feasible S. sonnei treatments. In the present study, the subtractive genomics approach was utilized to find the potential drug targets for S. sonnei strain Ss046. Various tools of bioinformatics were implemented to remove the human-specific homologous and pathogen-specific paralogous sequences from the bacterial proteome. Then, metabolic pathway and subcellular location analysis were performed of essential bacterial proteins to describe their role in various cellular processes. Only one essential protein i-e Chromosomal replication initiator protein DnaA was found in the proteome of the pathogen that could be used as a potent target for designing new drugs. 3D structure prediction of DnaA protein was carried out using Phyre 2. Molecular docking of 5000 phytochemicals was performed against DnaA to identify four top-ranked phytochemicals (Riccionidin A, Dothistromin, Fustin, and Morin) based on scoring functions and interaction with the active site. This study suggests that these phytochemicals could be used as antibacterial drugs to treat S. sonnei infections in the future. To confirm their efficacy and evaluate their drug potency, further in vitro analyses are required.     

A new efficient method of generating photoaffinity beads for drug target identification

Affinity purification is one of the most prevalent methods for the target identification of small molecules. Preparation of an appropriate chemical for immobilization, however, is a tedious and time-consuming process. A decade ago, a photoreaction method for generating affinity beads was reported, where compounds are mixed with agarose beads carrying a photoreactive group (aryldiazirine) and then irradiated with ultraviolet light under dry conditions to form covalent attachment. Although the method has proven useful for identifying drug targets, the beads suffer from inefficient ligand incorporation and tend to shrink and aggregate, which can cause nonspecific binding and low reproducibility. We therefore decided to craft affinity beads free from these shortcomings without compromising the ease of preparation. We herein report a modified method; first, a compound of interest is mixed with a crosslinker having an activated ester and a photoreactive moiety on each end. This mixture is then dried in a glass tube and irradiated with ultraviolet light. Finally, the conjugates are dissolved and reacted with agarose beads with a primary amine. This protocol enabled us to immobilize compounds more efficiently (approximately 500-fold per bead compared to the original method) and generated beads without physical deterioration. We herein demonstrated that the new FK506-immobilized beads specifically isolated more FKBP12 than the original beads, thereby proving our method to be applicable to target identification experiments.     

An improved procedure for isolating adult mouse cardiomyocytes for epicardial activation mapping

Cardiovascular disease is a leading cause of death and disability worldwide. Although genetically modified mouse models offer great potential for robust research in vivo, in vitro studies using isolated cardiomyocytes also provide an important approach for investigating the mechanisms underlying cardiovascular disease pathogenesis and drug actions. Currently, isolation of mouse adult cardiomyocytes often relies on aortic retrograde intubation under a stereoscopic microscope, which poses considerable technical barriers and requires extensive training. Although a simplified, Langendorff-free method has been used to isolate viable cardiomyocytes from the adult mouse heart, the system requires enzymatic digestions and continuous manual technical operation. This study established an optimized approach that allows isolation of adult mouse cardiomyocytes and epicardial activation mapping of mouse hearts using a Langendorff device. We used retrograde puncture through the abdominal aorta in vivo and enzymatic digestion on the Langendorff perfusion device to isolate adult mouse cardiomyocytes without using a microscope. The yields of isolated cardiomyocytes were amenable to patch clamp techniques. Furthermore, this approach allowed epicardial activation mapping. We used a novel, simplified method to isolate viable cardiomyocytes from adult mouse hearts and to map epicardial activation. This novel approach could be beneficial in more extensive research in the cardiac field.     

Learning the drug target-likeness of a protein

Current drug discovery and development approaches rely extensively on the identification and validation of appropriate targets; for example, those with marketable and robust therapeutics. Wide-ranging efforts have been directed at this problem and various approaches have been developed to identify disease-associated genes as candidates. In this work, we show with statistical significance that successful drug targets, in addition to their linkage to disease, share common characteristics that are disease-independent. For example, marked differences in functional category, tissue specificity, and sequence variability are observed between known targets and average proteins. These results lead to an interesting hypothesis: potentially good drug targets shall have some desired properties, which we refer to as "drug target-likeness" that are beyond their disease-associations. Because of the limited availability of comprehensive protein characteristics data, we tried to learn the drug target-likeness property at the sequence level. Results show that a support vector machine model is able to accurately distinguish targets from nontargets entirely with sequence features. It is our hope that these encouraging results will invite future systematic proteomic scale experiments to gather necessary protein characteristics data for the accurate and predictive definition of "drug target-likeness", providing a new perspective toward understanding and pursuing effective therapeutics.     

Fungal calcineurin complex as an antifungal target: From past to present to future

The serine/threonine phosphatase calcineurin complex has been considered a prospective target for developing novel drugs due to its importance in fungal growth, virulence, and stress responses in pathogenic fungi. Therefore, two well-known immunosuppressants, FK506 and cyclosporine A were successfully identified to inhibit calcineurin by combining with FK506-binding protein 12 and cyclophilin A, respectively. However, these drugs are immunosuppressive and may exhibit serious side effects. There is a growing number of literatures reported on further exploring functions of the calcineurin complex as promising antifungal targets. In general, the majority of the calcineurin complex structures are conserved but some functions are species-specific. Nevertheless, there still have a lot of functional motifs in the calcineurin complex that are unexplored. Therefore, further investigation and experimentation into the calcineurin complex are strongly required. This review not only has summarized previous findings but also explored bioinformatics analysis along with structural models of the calcineurin complex for finding fungal-specific regions as potential targets, laying the groundwork for future research into new therapeutics.     

Caspase activation, inhibition, and reactivation: a mechanistic view

Caspases, a unique family of cysteine proteases, execute programmed cell death (apoptosis). Caspases exist as inactive zymogens in cells and undergo a cascade of catalytic activation at the onset of apoptosis. The activated caspases are subject to inhibition by the inhibitor-of-apoptosis (IAP) family of proteins. This inhibition can be effectively removed by diverse proteins that share an IAP-binding tetrapeptide motif. Recent structural and biochemical studies have revealed the underlying molecular mechanisms for these processes in mammals and in Drosophila. This paper reviews these latest advances.     

Modeling with a view to target identification in metabolic engineering: A critical evaluation of the available tools

The state of the art tools for modeling metabolism, typically used in the domain of metabolic engineering, were reviewed. The tools considered are stoichiometric network analysis (elementary modes and extreme pathways), stoichiometric modeling (metabolic flux analysis, flux balance analysis, and carbon modeling), mechanistic and approximative modeling, cybernetic modeling, and multivariate statistics. In the context of metabolic engineering, one should be aware that the usefulness of these tools to optimize microbial metabolism for overproducing a target compound depends predominantly on the characteristic properties of that compound. Because of their shortcomings not all tools are suitable for every kind of optimization; issues like the dependence of the target compound's synthesis on severe (redox) constraints, the characteristics of its formation pathway, and the achievable/desired flux towards the target compound should play a role when choosing the optimization strategy. © 2010 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Gene mapping in fishes: a means to an end

Genetic research in fishes is poised to contribute a vast amount of information on the structural organization and function of vertebrate genomes. Recent advances in molecular biology have made possible the widescale characterization of genomes in all living organisms. This includes defining chromosomes at the cytological level down to their linear composition at individual nucleotide base pairs. Pioneering gene mapping studies into the genomes of fishes will only serve as the starting point for more detailed studies into the function of these genomes. Future research directed at understanding the mechanisms of gene actions and interactions will benefit all areas of biology, including ecology, ethology, evolution, and physiology. Gene mapping data from brown trout and rainbow trout are used to exemplify how basic information on gene transmission in a species may help to localize centromeres onto a genetic map and identify chromosomal regions possessing a high degree of segregation distortion. Genetic maps may also be used to identify differences in recombination levels among individuals and between the sexes when multiple mapping families are utilized in studies. Observations of this type are the antecedents to more complex biological investigations on the genetic architecture underlying these phenomena.     

Clinical proteomics-driven precision medicine for targeted cancer therapy: current overview and future perspectives

Cancer is a common disease that is a leading cause of death worldwide. Currently, early detection and novel therapeutic strategies are urgently needed for more effective management of cancer. Importantly, protein profiling using clinical proteomic strategies, with spectacular sensitivity and precision, offer excellent promise for the identification of potential biomarkers that would direct the development of targeted therapeutic anticancer drugs for precision medicine. In particular, clinical sample sources, including tumor tissues and body fluids (blood, feces, urine and saliva), have been widely investigated using modern high-throughput mass spectrometry-based proteomic approaches combined with bioinformatic analysis, to pursue the possibilities of precision medicine for targeted cancer therapy. Discussed in this review are the current advantages and limitations of clinical proteomics, the available strategies of clinical proteomics for the management of precision medicine, as well as the challenges and future perspectives of clinical proteomics-driven precision medicine for targeted cancer therapy.     

Deciphering the enzymatic target of a new family of antischistosomal agents bearing a quinazoline scaffold using complementary computational tools

Abstract

A previous phenotypic screening campaign led to the identification of a quinazoline derivative with promising in vitro activity against Schistosoma mansoni. Follow-up studies of the antischistosomal potential of this candidate are presented here. The in vivo studies in a S. mansoni mouse model show a significant reduction of total worms and a complete disappearance of immature eggs when administered concomitantly with praziquantel in comparison with the administration of praziquantel alone. This fact is of utmost importance because eggs are responsible for the pathology and transmission of the disease. Subsequently, the chemical optimisation of the structure in order to improve the metabolic stability of the parent compound was carried out leading to derivatives with improved drug-like properties. Additionally, the putative target of this new class of antischistosomal compounds was envisaged by using computational tools and the binding mode to the target enzyme, aldose reductase, was proposed.     

Precision oncology for patients with advanced cancer: the challenges of malignant snowflakes

Precision oncology implies customizing treatment to the unique molecular and biologic characteristics of each individual and their cancer. Its implementation is being facilitated by remarkable technological advances in genomic sequencing, as well as the increasing availability of targeted and immunotherapeutic drugs. Yet, next generation sequencing may be a disruptive technology in that its results suggest that classic paradigms for clinical research and practice are a poor fit with the complex reality encountered in metastatic malignancies. Indeed, it is evident that advanced tumors have heterogeneous molecular landscapes that mostly differ between patients. Traditional modes of clinical research/practice are drug centered, with a strategy of finding commonalities between patients so that they can be grouped together and treated similarly. However, if each patient with metastatic cancer has a unique molecular portfolio, a new patient-centered, N-of-one approach that utilizes individually tailored treatment is needed.     

Interphase fluorescence in situ hybridization mapping: a physical mapping strategy for plant species with large complex genomes

The chromatin in interphase nuclei is much less condensed than are metaphase chromosomes, making the resolving power of fluorescence in situ hybridization (FISH) two orders of magnitude higher in interphase nuclei than on metaphase chromosomes. In mammalian species it has been demonstrated that within a certain range the interphase distance between two FISH sites can be used to estimate the linear DNA distance between the two probes. The intephase mapping strategy has never been applied in plant species, mainly because of the low sensitivity of the FISH technique on plant chromosomes. Using a CCD (charge-coupled device) camera system, we demonstrate that DNA probes in the 4 to 8 kb range can be detected on both metaphase and interphase chromosomes in maize. DNA probes pA1-Lc and pSh2.5·SstISalI, which contain the maize locia1 andsh2, respectively, and are separated by 140 kb, completely overlapped on metaphase chromosomes. However, when the two probes were mapped in interphase nuclei, the FISH signals were well separated from each other in 86% of the FISH sites analyzed. The average interphase distance between the two probes was 0.50 µm. This result suggests that the resolving power of interphase FISH mapping in plant species can be as little as 100 kb. We also mapped the interphase locations of another pair of probes, ksu3/4 and ksu16, which span theRp1 complex controlling rust resistance of maize. Probes ksu3/4 and ksu16 were mapped genetically approximately 4 cM apart and their FISH signals were also overlapped on metaphase chromosomes. These two probes were separated by an average of 2.32 µm in interphase nuclei. The possibility of estimating the linear DNA distance between ksu3/4 and ksu16 is discussed.     

Identification and modeling of a drug target for Clostridium perfringens SM101

In the present study, comparative genome analysis between Clostridium perfringens and the human genome was carried out to identify genes that are essential for the pathogen's survival, and non-homologous to the genes of human host, that can be used as potential drug targets. The study resulted in the identification of 426 such genes. The number of these potential drug targets thus identified is significantly lower than the genome's protein coding capacity (2558 protein coding genes). The 426 genes of C. perfringens were further analyzed for overall similarities with the essential genes of 14 different bacterial species present in Database of Essential Genes (DEG). Our results show that there are only 5 essential genes of C. perfringens that exhibit similarity with 12 species of the 14 different bacterial species present in DEG database. Of these, 1 gene was similar in 12 species and 4 genes were similar in 11 species. Thus, the study opens a new avenue for the development of potential drugs against the highly pathogenic bacterium. Further, by selecting these essential genes of C. perfringens, which are common and essential for other pathogenic microbial species, a broad spectrum anti-microbial drug can be developed. As a case study, we have built a homology model of one of the potential drug targets, ABC transporter-ATP binding protein, which can be employed for in silico docking studies by suitable inhibitors.     

In vivo drug target discovery: identifying the best targets from the genome

A vast number of genes of unknown function threaten to clog drug discovery pipelines. To develop therapeutic products from novel genomic targets, it will be necessary to correlate biology with gene sequence information. Industrialized mouse reverse genetics is being used to determine gene function in the context of mammalian physiology and to identify the best targets for drug development.     

High throughput functional epitope mapping: Revisiting phage display platform to scan target antigen surface

Antibody engineering must be accompanied by mapping strategies focused on identifying the epitope recognized by each antibody to define its unique functional identity. High throughput fine specificity determination remains technically challenging. We review recent experiences aimed at revisiting the oldest and most extended display technology to develop a robust epitope mapping platform, based on the ability to manipulate target-derived molecules (ranging from the whole native antigen to antigen domains and smaller fragments) on filamentous phages. Single, multiple and combinatorial mutagenesis allowed comprehensive scanning of phage-displayed antigen surface that resulted in the identification of clusters of residues contributing to epitope formation. Functional pictures of the epitope(s) were thus delineated in the natural context. Successful mapping of antibodies against interleukin-2, epidermal growth factor and its receptor, and vascular endothelial growth factor showed the versatility of these procedures, which combine the accuracy of site-directed mutagenesis with the high throughput potential of phage display.