Charles University Faculty of Pharmacy in Hradec Králové Department of Pharmacology and Toxicology Student: Barbora Umanová Supervisor: doc. PharmDr. Martina Čečková, Ph.D. Title of diploma thesis: Expression and function of placental drug transporters in health and disease There are many physiological changes during pregnancy. Placenta is a crucial organ which mediates exchange of nutrients, metabolites and respiratory gases, provides endocrine functions and fetal protection. A pregnant woman and her fetus may be exposed to various potentially harmful substances during pregnancy, including drugs that may endanger fetal health. Protection of the fetus from xenobiotics is enabled by drug transporters. Drug transporters are membrane proteins expressed in most tissues of the human body. In the placenta, they are localized in the placental syncytiotrophoblast and occur also in the endothelial cells of the fetal vessels. They belong into two large superfamilies of transporter proteins: ATB-binding cassette (ABC) and solute carrier (SLC). While ABC transporters mediate exclusively efflux of their substrates, SLC are predominantly influx transporters. Therefore, these transport proteins play a key role in the disposition of drugs, some of which facilitate drugs entry into a fetus, and others actively...

Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Master of Science in the School of Informatics, Indiana University December 2005 / The approach of exploiting highly conserved protein folds and structure in understanding protein function and in designing drugs leads to drugs that are less selective due to association with similar proteins. Over the years an open problem for researchers has been to develop drug design models based on non-conserved features to have higher selectivity. Recently a new structural feature, the dehydron, has been demonstrated to vary across proteins with conserved folds. Dehydrons are backbone hydrogen bonds that are not adequately protected from water. The importance of wrapping dehydrons in ligand binding and non-conservation of dehydrons across similar proteins makes them important candidates for markers in drug design. Investigation on a series of proteins – PDB entries: 1IA8, 1NVQ, 1NVS, 1NVR, 1OKZ, and 1PKD – revealed the potential impact of wrapping on binding affinity of the ligands. Unlike in 1NVS, 1NVR, 1OKZ, and 1PKD, inhibitor UCN in 1NVQ wrapped both the dehydrons in active site region of the checkpoint protein kinase, thereby indicating an increased potency and higher selectivity. On detailed analysis of 193 protein kinases, roughly 70% were found to have two or more dehydrons in the neighborhood of the bound ligand. Also, about 70% of proteins had dehydrons within the active site region. Only around 20% of ligands, however, actually wrapped two or more dehydrons. These statistics clearly illustrate the significance of dehydrons and their potential use as markers for drug design to enhance drug efficacy as well as selectivity, and to reduce side effects in the process.

Indiana University-Purdue University Indianapolis (IUPUI) / The ubiquitin-proteasome system is responsible for the targeted degradation of proteins within the cell. The 26S proteasome, which is the protease of this system, is a high molecular weight complex consisting of 33 subunits that arrange to form two smaller complexes the 19S regulatory particle (RP) and the 20S core particle (CP). The 19S RP can bind one or both ends of the 20S CP and is responsible for recognizing the ubiquitinated substrates. After recognition, the 19S RP will subsequently deubiquitinate, unfold, and translocate the substrates into the proteolytic 20S CP. The 20S CP consists of seven unique alpha and seven unique beta subunits that arrange into four stacked rings, with two alpha rings capping two beta rings. Assembly of the alpha(1-7)beta(1-7)beta(1-7)alpha(1-7) structure begins with the formation of an alpha ring and proceeds through specific assembly intermediates. This process is assisted by assembly chaperone proteins that promote on pathway interactions to efficiently construct the 20S CP. In this dissertation, three new findings are described which further characterize the proteasome assembly pathway. First, novel non-canonical complexes comprised of proteasome subunit alpha4 were identified in vivo, revealing proteasome subunits can assemble into complexes outside of the proteasome. Second, Hsp70 proteins, Ssa1/2, were shown to assist in the assembly of 20S CPs, adding to the growing list of proteins guiding proteasome assembly. Third, a novel complex was identified which is believed to represent a new proteasome assembly intermediate.

One of the primary challenges in clinical genetics is the interpretation of the numerous genetic variants identified through sequencing applications. Assessing the impact of missense variants where only one amino acid is substituted is particularly difficult. In this study, we examined the structural characteristics of amino acids affected by missense substitutions in 26,690 pathogenic variants and compared them to 11,302 common variants found in the general population. This analysis was conducted across 6,747 protein structures. The residues were annotated using 7 protein features with a total of 35 feature subtypes. Subsequently, we assessed the burden of both common and pathogenic missense variants across these features. Additionally, we carried out separate analyses relative to protein function (with variants grouped in 24 protein functional classes) and relative to diseases (with variants grouped in 86 diseases). Through a comprehensive analysis of the entire dataset, we identified 25 pathogenic features that play a crucial role in the overall fitness and stability of proteins. Additionally, when we conducted individual analyses for 24 protein functional classes, we discovered specific features that are relevant to each function. For the disease analysis we identified 3 main clusters. Type I diseases primarily result from ordered mutations and are mainly affected by charge loss. This cluster is dominated by transporter protein class and includes diseases linked to X-chromosome. Type II diseases involve hydrolases and are characterized by enriched variants at the protein core, resulting in protein destabilization. Type III diseases involve extracellular matrix proteins (mainly collagen), are predominantly found in disordered regions, and are affected by charge gain and introduction of polar residues. Gly variants are particularly relevant in this cluster, as collagen proteins require Gly in every third residue in the collagen triple-helix. Considering the structural aspects when interpreting mutations associated with diseases offers valuable insights into their underlying mechanisms. Our work can serve as resource to delineate and understand variant pathogenicity by mapping a genetic variant into its structural context.

Die AAA+ ATPase p97 ist ein essenzielles Protein, das an einer Vielzahl zellulärer Prozesse beteiligt ist und eine Schlüsselrolle in der Protein-Homöostase spielt. Die funktionale Diversität von p97 beruht auf der Interaktion zahlreicher unterschiedlicher Kofaktoren, die vorwiegend an die N-Domäne von p97 binden. Aufgrund seiner Bedeutung in der Regulierung diverser physiologischer und pathologischer Prozesse stellt p97 eine interessante Zielstruktur für die Entwicklung neuer Wirkstoffe dar, die insbesondere in der Krebstherapie von Bedeutung sein könnte. Bekannte p97-Inhibitoren greifen vor allem die ATPase-Funktion des Proteins an. Ein neuer pharmakologischer Ansatz stellt die Inhibierung der Kofaktorbindung an die N-Domäne dar. Ein solcher Protein-Protein-Interaktionsinhibitor wäre nicht nur von therapeutischem Interesse, sondern hätte auch einen besonderen Nutzen für die Entschlüsselung molekularer und zellulärer Funktionen von p97-Kofaktoren. In dieser Arbeit wurde ein fragmentbasierter Ansatz für die Identifizierung von chemischen Startstrukturen für die Entwicklung eines Protein-Protein- Interaktionsinhibitors verfolgt. Als Zielstruktur wurde die SHP-Bindestelle in der N-Domäne gewählt. Die Identifizierung von Liganden erfolgte sowohl durch computergestützte Methoden (insbesondere virtuelles Screening und Molekulardynamik-Simulationen) als auch experimentell durch biophysikalische Techniken (wie Biolayer-Interferometrie, Röntgenstrukturanalyse und ligandbasierte NMR-Techniken). Die Grundlage des computerbasierten Designs stellte eine Analyse der bekannten Kristallstrukturen der p97-Komplexe mit den SHP-Motiven der Kofaktoren UFD1 und Derlin-1 dar. Darüber hinaus dienten Molekulardynamik-Simulationen der Analyse der Wassereigenschaften innerhalb der SHP-Bindestelle. Darauf aufbauend wurden verschiedene Pharmakophormodelle entwickelt, die die Grundlage des im Anschluss durchgeführten virtuellen Screenings und Dockings bildeten. Anhand der Ergebnisse von Molekulardynamik-Simulationen wurden zehn Verbindungen für die experimentelle Validierung ausgewählt. Hiervon konnten zwei Fragmente in STD-NMR- und Biolayer-Interferometrie-Experimenten als Liganden bestätigt werden. In einem parallel durchgeführten biophysikalischen Fragmentscreening mittels Biolayer-Interferometrie wurden unter mehr als 650 Verbindungen 22 identifiziert, die an die N-Domäne binden. 15 dieser Fragmente wurden durch einen orthogonalen STD-NMR-Assay bestätigt. Fünf dieser Verbindungen zeigten Affinitäten mit KD-Werten kleiner 500μMund günstigen Ligandeffizienzen. Des Weiteren konnte die Bindungskinetik und Affinität des in der Literatur als p97-Inhibitor berichteten Naturstoffes Xanthohumol bestimmt und eine Bindung an die N-Domäne bestätigt werden. Zur Identifizierung möglicher Bindestellen dieser fünf Fragmente wurden mixed-solvent Molekulardynamik-Simulationen durchgeführt. Diese ergaben, dass alle Verbindungen die SHP-Bindestelle in der N-Domäne adressieren. Die Regionen fielen mit hot spots der Kofaktorwechselwirkungen zusammen und stellen somit mögliche Ankerpunkte für die Weiterentwicklung dar. Für zwei Fragmente konnten die postulierten Bindestellen mittels Röntgenstrukturanalyse bzw. STD-NMR-Messungen an p97-Alanin-Mutanten bestätigt werden. Die erhaltene Röntgenstruktur ist die erste p97-Struktur, die ein gebundenes Fragment an der N-Domäne zeigt. / The AAA+ATPase p97 is an essential protein involved in numerous cellular pro-cesses and plays a key role in multiple aspects of protein homeostasis. Its functio-nal diversity is mediated through the interaction with a large number of distinctcofactors binding to the N-domain of p97. Due to its significant role in regulatinga variety of physiological responses, p97 has emerged as a potential therapeu-tic target. A small molecule inhibiting the cofactor binding would be importantto dissect the molecular and cellular functions of p97 cofactors, thus helping tounravel their specific role in controlling p97 activity. Such compounds may alsoopen routes to new cancer therapies.In this work, a fragment-based approach was pursued for the identification ofchemical starting points for the development of a protein-protein interaction in-hibitor addressing the SHP binding site. Therefore, computer-assisted methods,such as virtual screenings and molecular dynamics simulations, as well as bio-physical techniques including biolayer interferometry, X-ray crystallography, andligand-based NMR techniques, were applied.The computer-based design started with an analysis of the known p97 crystalstructures in complex with the SHP motifs of cofactors UFD1 and Derlin-1. In ad-dition, molecular dynamics simulations were used to analyze the water proper-ties within the SHP binding site. Based on these results, pharmacophore modelswere developed and utilized in the subsequent virtual screening and dockingprocess. With the help of molecular dynamics simulations, ten compounds wereselected for experimental validation. Two of these were confirmed as ligands inSTD-NMR and biolayer interferometry experiments.In parallel, a biophysical fragment screening of over 650 compounds was perfor-med using the biolayer interferometry method. This led to the identification of22 compounds binding to the N-domain. Fifteen of these fragments were con-firmed in an orthogonal STD-NMR assay. Five compounds showed affinities withKDvalues below 500 μM and favourable ligand efficiencies for further optimiza-tion. Furthermore, the binding kinetics and affinity of xanthohumol, a naturalproduct reported in the literature as a p97 inhibitor, were determined and bin-ding to the N-domain was confirmed. xToidentify possible binding sites of these five fragments, mixed solvent mole-cular dynamics simulations were performed. These revealed that all compoundsaddress the SHP binding site in the N-domain. The regions coincide with hotspots of the cofactor binding and, thus, represent potential anchor points for aprotein-protein interaction inhibitor. For two fragments, the postulated bindingsites were confirmed by X-ray crystallography and STD-NMR measurements onp97 alanine mutants, respectively. The X-ray structure obtained is the first p97structure showing a fragment bound to the N-domain.

No description available.

Depression is one of the most debilitating disorders among youth. Many factors impact depression risk, and dietary quality is one of the most significant modifiable factors. This work was to investigate whether diet quality, including protein, sugar, vegetables, and omega-3 fatty acids’ intake, had any effect on the development of depression. Data from 82 subjects were used for analysis. There was no significant relationship between Dietary Quality Index (p=.21, n=82) and depression based on this research. Results included total protein (p=.77, n=82), animal-based protein (p=.77, n=82), vegetable-based protein (p=.29, n=82), total sugar (p=.55, n=78), added sugar (p=.48, n=78), total vegetable (p=.56, n=82) and omega3 fatty acids (p=.92, n=82). These results were not up to expectations and did not conform to previous findings. Future research should be performed with a larger sample size among the college-aged population to determine the relationship between dietary factors and depression risk.

The recognition of small organic compounds and metabolites is essential for living systems, enabling the cell to sense environmental stimuli and respond appropriately. Developing quantitative models of living systems which can incorporate these environmental stimuli would accordingly benefit from comprehensive mapping of interactions between proteins and small molecules of interest. While high-throughput experimental methods provide a wealth of interaction data, the scale of chemical space currently precludes comprehensive enumeration of protein-compound interaction space. Computational methods can help to bridge this gap by inferring proteome-scale protein-compound interactomes, elucidating structural features within protein families which mediate specificity of binding to specific small molecules, and inferring the affinity of binding for specific protein-compound interactions. In this thesis, we attempt to use, and in some cases develop, methods to study protein-compound interactions at these three scales. First, we describe recent work in extending our structure-based algorithm for predicting protein-compound interactions throughout the proteome to include a wider array of small molecules. We demonstrate that this method performs comparably to existing methods and describe an online database storing the results of this analysis. We also report several case studies illustrating how this database can be used along with cautionary vignettes indicating areas where the method fails and directions for future improvement. We subsequently analyze druggable pockets occurring within protein-protein interfaces (PPIs) to assess whether they are less structurally conserved than analogous pockets of conventional drug sites. We find that PPI interfacial pockets are associated with fewer expected off-targets than conventional drug sites, however that this finding is specific to individual protein families, rather than a general feature of interfacial PPI pockets. Finally, we use Free Energy Perturbation to predict the binding affinity of an array of small volatile odorants with an olfactory receptor from the jumping bristletail, Machilis hrabei, as well as attempt to further optimize the system in order to study the effects of mutating receptor binding site residues on binding affinity to its active ligands.

The mamallian target of rapamycin (mTOR) is a protein implicated in a variety of cellular processes involving growth and division. In the context of the brain, it regulates synaptic plasticity and axon elongation; its dysfunction is implicated in the pathogenesis of multiple complex, heterogeneous neurodegenerative diseases. These include, but are not limited to Alzheimer’s Disease (AD), autism spectrum disorder (ASD), and epilepsy. mTOR boasts a deeply complex and far-reaching signalling cascade, and its activity affects the expression levels of a large number of proteins. As such, investigation of the proteins with whom mTOR interacts is a pertinent endeavor to the advancement of understanding the complex pathogenesis of neurodegenerative disease. The complexity of this endeavor makes it a target well-poised for protein-protein interaction network (PPIN) analysis. Thus, using a previously recorded MS/MS dataset listing proteins whose expression levels change upon rapamycin administration, we set out to identify key proteins and characterize the properties of the mTOR interactome overall using a variety of toplogical measures and analytical techniques. Using such techniques, we found that the in the PPIN created from our data, a certain subset of proteins subjected the network to particular fragility. Namely, the kinless hubs, which have high within-module degree as well as a large participation coefficient, show vulnerability exceeding that of even conventionally defined hub. Some of these kinless hubs exhibit critical structural roles in the PPIN such that their removal damages the overall efficiency of communication within the network at an individually observable level. Work is ongoing to further investigate these proteins and the potential biological implications of their importance in the network described in the present study.

Protein aggregation is a phenomenon that plays a major role in protein crystallization and in protein formulation. In protein crystallization, aggregation is the prerequisite step; however, in protein formulation it has to be suppressed to assure therapeutic efficiency of the product. Light scattering techniques are the most promising methods to study the hydrodynamic properties of macromolecular solutions, which directly measures protein aggregation. Unfortunately, the normal dynamic light scattering technique is regarded as expensive because of the amount of protein used for these experiments. In order to address this problem, a scale down dynamic light scattering device has been designed. The osmotic second virial coefficient, a dilute solution parameter helps in identifying solution conditions for protein crystal growth. The second part of this thesis involves comparison of osmotic second virial coefficient (B) measurements of lysozyme using laser light scattering techniques with B measurements of lysozyme performed using self-interaction chromatography (SIC).