Στην μετα-γονιδιωματική εποχή, την εποχή της συστημικής βιολογίας, η κατανόηση της πολυπλοκότητας της κυτταρικής φυσιολογίας απαιτεί την ανάλυση της δυναμικής των δικτύων βιομοριακών αλληλεπιδράσεων σε όλα τα μοριακά επίπεδα κυτταρικής λειτουργίας. Με τη σειρά της, η λειτουργική γονιδιωματική, ένας θεμελιώδης λίθος της συστημικής βιολογίας, στοχεύει στον πολυδιάστατο χαρακτηρισμό ενός γονιδίου, συνδυάζοντας δεδομένα από τις τεχνολογίες υψηλής απόδοσης. Είναι αυτή ακριβώς η ενοποίηση όλων των μοριακών προτύπων για ένα διαταραγμένο βιολογικό σύστημα που μπορεί να δώσει πληροφορίες αναφορικά με την λειτουργία ενός αγνώστου γονιδίου. Στο πλαίσιο αυτό, η παρούσα Διπλωματική Εργασία αποτελεί μέρος της ολιστικής λειτουργικής ανάλυσης δύο αλληλεπιδρώντων, αγνώστου βιολογικού ρόλου, πρωτεϊνών, της DGCR14 και της FRA10AC1, οι οποίες έχουν απομονωθεί ως συστατικά του σωματιδίου συναρμογής και έχουν συσχετιστεί με νευρολογικές ασθένειες. Η παρούσα εργασία επικεντρώνεται στην μεταβολομική μελέτη των μοριακών επιπτώσεων της υπερέκφρασης της DGCR14 σε ένα ανθρώπινο κυτταρικό μοντέλο, τα κύτταρα HeLa, με την χρήση της αέριας χρωματογραφίας - φασματομετρία μάζας. Ωστόσο, για να επιτευχθεί αυτό, θέματα σχετικά με τις δυνατότητες ποσοτικοποίησης των πολυβηματικών ομικών αναλύσεων έπρεπε να επιλυθούν. Μια σημαντική παράμετρος αφορά στην γρήγορη αδρανοποίηση των ενζυματικών διεργασιών έτσι ώστε οι αποκτηθέντες μετρήσεις να αντικατοπτρίζουν την πραγματική κυτταρική φυσιολογία. Για τον σκοπό αυτό, ο πειραματικός σχεδιασμός πρέπει να τροποποιείται κατάλληλα έτσι ώστε οποιεσδήποτε απαιτούμενες προ-αναλυτικές διαδικασίες χειρισμού των κυττάρων να έχουν ελάχιστη επίδραση στην φυσιολογία τους. Μελετήσαμε συνεπώς την επίδραση τεσσάρων πρωτοκόλλων συλλογής προσκολλημένων κυττάρων και δύο διαφορετικών διαλυμάτων έκπλυσης στο μεταβολικό πρότυπο κυττάρων HeLa. Τα μεταβολομικά δεδομένα αξιολογήθηκαν στο πλαίσιο της καρκινικής μεταβολικής φυσιολογίας και το πρωτόκολλο με την ελάχιστη δυνατή επίδραση στην κυτταρική φυσιολογία καθορίστηκε. Μεταξύ των αποτελεσμάτων αυτής της μελέτης, πολύτιμες πληροφορίες σχετικά με την μεταβολική φυσιολογία των αθανατοποιημένων κυτταρικών σειρών προέκυψαν, οι οποίες ενίσχυσαν σημαντικά την υπάρχουσα γνώση γύρω από τον καρκινικό μεταβολισμό, σε σταθερές ή μεταβαλλόμενες περιβαλλοντικές συνθήκες. Επακόλουθα, η βελτιστοποίηση της διαδικασίας συλλογής είχε ως αποτέλεσμα την δημιουργία ενός αντιπροσωπευτικού μεταβολικού προτύπου κυττάρων HeLa πάνω στο οποίο πραγματοποιήθηκε η αξιολόγηση της υπερέκφρασης της πρωτεΐνης DGCR14 χωρίς να επισκιάζεται από πειραματικές αποκλίσεις εισαγόμενες από την διαδικασία χειρισμού των κυττάρων. Αναφορικά με τα κύτταρα που υπερεκφράζουν την DGCR14, η μεταβολομική ανάλυση εντόπισε μια αλλαγή φυσιολογίας συνδεόμενη με συγκεκριμένα μεταβολικά μονοπάτια τα οποία υποδηλώνουν έντονο μεταβολικό στρες. Για να διερευνήσουμε την συσχέτιση της υπερέκφρασης της DGCR14 με τον παραπάνω μεταβολικό φαινότυπο, χρησιμοποιήσαμε το ανακατασκευασμένο δίκτυο πρωτεϊνικών αλληλεπιδράσεων του σωματιδίου συναρμογής στον άνθρωπο και το δίκτυο πρωτεϊνικών αλληλεπιδράσεων στον άνθρωπο από την μετα-βάση δεδομένων PICKLE, προκειμένου να αντλήσουμε επιπλέον πληροφορίες για τον ρόλο της DGCR14 βάσει της θέσης της σε σχέση με άλλους κόμβους και υπερ-κόμβους. Μια πιθανή λειτουργική συσχέτιση της DGCR14 με αυτοφαγικούς και λυσοσωμικούς μηχανισμούς βρέθηκε, η οποία θα αξιολογηθεί και μελλοντικά μέσω της ανάλυσης, ξεχωριστά και συνδυαστικά, των μοριακών συνεπειών της υπερ- και υπο-έκφρασης σε όλα τα μοριακά επίπεδα κυτταρικής λειτουργίας. / In the post-genomic, systems biology era, developing a systems level understanding of a physiological process requires the analysis of biomolecular network dynamics at all molecular levels of cellular function. Likewise, functional genomics, an essential foundation of systems biology research, aims to define and analyze gene function at a global level by integrating data obtained from multiple high-throughput technologies. It is the integration of all the molecular profiles for a systematically perturbed system that can provide insight about the function of unknown genes. Along these lines, the present study is part of the systematic functional analysis of two interacting, but yet of unknown biological role, spliceosomal proteins, DGCR14 and FRA10AC1, that have both been implicated in neurological diseases. The present work focuses on studying the molecular consequences of DGCR14 overexpression in a human cell model, HeLa cells, at the metabolic level using Gas Chromatography-(ion trap) Mass Spectrometry. However, to succeed in this, issues regarding the quantification capabilities of the multistep omic analysis procedures needed to be resolved. A major concern refers to the fast quenching of any enzymatic processes, so that the acquired measurements indeed reflect the cellular physiology in vivo. To this end, the experimental design should be appropriately adjusted so that any required sample handling actions before quenching have a minimal effect on cellular physiology. Thus, we investigated the effect of four cell collection protocols and two different washing solutions on the intracellular metabolic profile measurements of a HeLa cell culture. The measurements were interpreted in the context of the known cancer cell metabolic physiology and the protocol with the minimum possible effect on cellular physiology was specified. Among the results of this study, valuable information about the metabolic physiology of the immortal cell line arise, which improved our knowledge about cancer metabolism under steady or varying environmental conditions. Subsequently, the optimization of the collection procedure enabled us to establish a representative metabolic profile of HeLa cells against which the overexpression of DGCR14 was evaluated without being obscured by the effect of the sample handling. Regarding the overexpressing cells, the metabolomic analysis detected a trend of physiological change connected to specific metabolic pathways indicating strong metabolic stress. To understand how DGCR14 overexpression generates this particular metabolic phenotype, we used the human spliceosomal complex protein-protein interaction (PPI) network and the integrated human PPI meta-database PICKLE to extract additional information about DGCR14 role based on its location with respect to other nodes and hubs. A possible functional correlation of DGCR14 to autophagic and lysosomal mechanisms was established, that will be further evaluated in the future through the analysis, separately and in combination, of the consequences of DGCR14 over- and under-expression at all molecular levels of cellular function.

This dissertation deals with the study of ancient diseases mentioned in the historical period of the Scriptures in the region of Syro-Palestine. The definition, history, methodology and etymology of the terms relating to biblical diseases are discussed. Leprosy, syphilis, plague and anaemia amongst other diseases leave skeletal signs and lesions. Paleopathologists may reveal these diseases by studying skeletal remains of the population of Syro-Palestine. Criticisms and recommendations are offered for the practical paleopathologist, anthropologist or archaeologist. More interest should be taken in the study of coprolite in every new discovery of human remains. The scarcity of skeletal remains in the region is well known. The past and present law structure, the Halakah, may partly be to blame. The future of paleopathology worldwide is undisputedly the biochemical science of DNA analysis. With this new science the role for macromorphological examination may diminish. The diseases mentioned in the Bible are finding it increasingly difficult to hide behind the words in the Scriptures. / Old Testament and Ancient Near Eastern Studies / MA (Biblical Archaeology)

Advances in the biomedical field require functional materials and processes that can lead to devices that are biocompatible, and biodegradable while maintaining high performance and mechanical conformability. In this context, a current shift in focus is towards natural polymers as not only the structural but also functional components of such devices. This poses material-specific functionalization and fabrication related questions in the design and fabrication of such systems. Silk protein biopolymers from the silkworm show tremendous promise in this regard due to intrinsic properties: mechanical performance, optical transparency, biocompatibility, biodegradability, processability, and the ability to entrap and stabilize biomolecules. The unique ensemble of properties indicates opportunities to employ this material into numerous biomedical applications. However, specific processing, functionalization, and fabrication techniques are required to make a successful transition from the silk cocoon to silk-based devices. This research is focused on these challenges to form silk-based functional material and devices for application in areas of therapeutics, bio-optics, and bioelectronics. To make silk proteins mechanically conformable to biological tissues, the first exploration is directed towards the realization of precisely micro-patterned silk proteins in flexible formats. The optical properties of silk proteins are investigated by showing the angle-dependent iridescent behavior of micropatterned proteins, and developing soft micro-optical devices for light concentration and focusing. The optical characteristics and fabrication process reported in the work can lead to the future application of silk proteins in flexible optics and electronics. The microfabrication process of silk proteins is further extended to form shape-defined silk protein microparticles. Here, the specificity of shape and the ability to form monodisperse shapes can be used as shape encoded efficient cargo and contrast agents. Also, these particles can efficiently entrap and stabilize biomolecules for drug delivery and bioimaging applications. Next, a smart confluence of silk sericin and a synthetic functional polymer PEDOT:PSS is shown. The composite materials obtained have synergistic effects from both polymers. Silk proteins impart biodegradability and patternability, while the intrinsically conductive PEDOT:PSS imparts electrical conductivity and electrochemical activity. Conductive micro architectures on rigid as well as flexible formats are shown via a green, water-based fabrication process. The applications of the composite are successfully demonstrated by realizing biosensing and energy storage devices on rigid or flexible forms. The versatility of the approach will lead to the development of a variety of applications such as in bio-optics, bioelectronics, and in the fundamental study of cellular bio electrogenic environments. Finally, to expand the applicability of reported functional polymers and composites beyond the microscale, a method for silk nano-patterning via electron beam lithography is explored. The technique enables one-step fabrication of user defined structures at the submicron and nano-scales. By virtue of acrylate chemistry, a very low energetic beam and dosage are required to form silk nano-architectures. Also, the process can form both positive and negative features depending on the dosage. The fabrication platform can also form nano scale patterns of the conductive composite. The conductive measurements confirm the formation of conductive nanowires and the ability of silk sericin to entrap PEDOT:PSS particles in nanoscale features.

La spectroscopie UV-Vis résolue en temps a été appliquée à l'étude de différents systèmes moléculaires dont la photophysique est contrôlée par leur interaction avec l’environnement, mais aussi comme outil pour révéler des interactions moléculaires ou des dynamiques structurelles à des échelles de temps comparativement lentes (sec à min.), en utilisant la microfluidique de gouttes pour déclencher une relaxation structurale par des conditions initiales hors équilibre. J'ai appliqué cette approche selon trois axes allant de 1) l'étude approfondie des propriétés émissives des biosenseurs afin de permettre leur utilisation quantitative dans les études d'interactions biomoléculaires, à 2) le développement d'une approche expérimentale originale pour permettre la résolution la cinétique de relaxation structurelle d'une répartition hors équilibre des structures biomoléculaires, et enfin 3) l'application aux biotechnologies à haut débit de la fluorescence résolue en temps pour des analyses d'interactions biomoléculaires précises et rapides, pertinente à la fois pour les domaines académiques et industriels. / In the context of the present thesis, UV-Vis time-resolved spectroscopy was applied targeting the photophysics investigation of different environmentally sensitive molecular systems, but also as a biosensing approach to reveal molecular interactions or structural dynamics on much slower time scales (sec to min), using droplet microfluidics triggering structural relaxation through out-of-equilibrium initial conditions. I thus investigated on a three-axis-target spanning from 1) the in-depth investigation of the emissive properties of biosensors in order to allow their quantitative use in biomolecular interaction studies, to 2) the development of an original experimental approach to enable resolving the structural relaxation kinetics of an out-of-equilibrium distribution of biomolecular structures, and finally 3) the technological application of time resolved fluorescence for precise, rapid, cost effective, biomolecular interaction assays, appealing both for academic and industrial arenas.

<p> </p> <p>Infectious diseases caused by bacteria, fungi, and plasmodium parasites are a huge global health problem which ultimately leads to millions of deaths annually. The emergence of strains that exhibit resistance to nearly every class of antimicrobial agents, and the inability to keep up with these resistance trends has brought to the fore the need for new therapeutic agents (antibacterial, antifungal, and antimalarial) with novel scaffolds and functionalities capable of targeting microbial resistance. A novel class of compounds featuring an aryl isonitrile moiety has been discovered that exhibits potent inhibitory activity against several clinically relevant strains of methicillin-resistant <i>Staphylococcus aureus</i> (MRSA). Synthesis, structure-activity relationship (SAR) studies, and biological investigations have led to lead molecules that exhibit anti-MRSA inhibitory activity as low as 1 – 2 µM. The most potent compounds have also been shown to have low toxicity against mammalian cells and exhibit <i>in vivo</i> efficacy in MRSA skin and thigh infection mouse models.</p> <p>The novel aryl isonitriles have also been evaluated for antifungal activity. This study examines the SAR of aryl isonitrile compounds and showed the isonitriles as compounds that exhibit broad spectrum antifungal activity against species of <i>Candida</i> and <i>Cryptococcus</i>. The most potent derivatives are capable of inhibiting growth of these pathogens at concentrations as low as 0.5 µM. Notably, the most active compounds exhibit excellent safety profile and are non-toxic to mammalian cells up to 256 µM.</p> <p>Beyond the antibacterial and antifungal activities, structure-antimalarial relationship analysis of over 40 novel aryl isonitrile compounds has established the importance of the isonitrile functionality as an important moiety for antimalarial activity. Of the many isonitrile compounds exhibiting potent antimalarial activity, two have emerged as leads with activity comparable to that of Artemisinin. The SAR details presented in this study will prove essential for the development new aryl isonitrile analogues to advance them to the next step in the antimalarial drug discovery process.</p> <p>17-nor-Excelsinidine, a zwitterion monoterpene indole alkaloid isolated from <i>Alstonia scholaris</i> is a subject of synthetic scrutiny. This is primarily due to its intriguing chemical structure which includes a bridged bicyclic ammonium moiety, and its anti-adenovirus and anti-HSV activity. Herein we describe a six-step total synthesis of (±)-17-nor-Excelsinidine from tryptamine. Key to the success of this synthesis is the use of palladium-catalyzed carbonylative heck lactamization methodology which built the 6, 7-membered ring lactam in one step. The resulting pentacyclic product, beyond facilitating the easy access to (±)-17-nor-Excelsinidine, could also serve as a precursor to other related indole alkaloids.</p> <br> <p> </p> <p></p>

Les oreillons sont une maladie très contagieuse causée par le virus ourlien. La méthode préventive (le vaccin) contre ce virus a été déjà mise au point. Par contre, les épidémies récentes restent incontrôlables. Il est donc très important de comprendre le mécanisme moléculaire de son cycle de vie afin d’élaborer le traitement effectif et spécifique. Ce virus appartient à la famille des Paramyxoviridae. Son génome, l’ARN non segmenté monocaténaire de polarité négative, est protégé par la nucléoprotéine (N) en formant des structures filamenteuses nucléocapsides. N joue un rôle essentiel dans la synthèse du génome viral. En effet, cette protéine avec la polymérase et son cofacteur phosphoprotéine (P) constitue la machinerie de transcription-réplication du virus. La N et la P sont composées des régions pliées et dépliées. Malgré que la morphologie du virus ourlien est conservée parmi les autres membres de la famille, il existe quelques différences. Il a été démontré que la P est un oligomère antiparallel avec les deux extrémités d’un côté qui interagissent avec la partie structurale de N (Ncore). Tandis que la fonction de la région désordonnée (Ntail) est compliquée à identifier pour le moment. En comparant avec les autres paramyxovirus connus, Ntail n’interagit pas avec le domaine C-terminal de la P. Le rôle des régions déstructurées de P n’a pas été défini. Dans ce projet, nous dévoilons les mécanismes des interactions entre diverses régions de N et P et nous expliquons comment les domaines intrinsèquement désordonnés de N et P sont impliqués dans la régulation de la machine complexe de réplication virale. Nous avons utilisé la résonance magnétique nucléaire qui est la méthode la plus puissante afin de déterminer la structure, la dynamique et les partenaires d’interaction dont la fonction des protéines dépliées virales. / Mumps is a highly contagious disease caused by the mumps virus. The prevention treatment (vaccine) against it is already in the routine use. However, recent outbreaks still remain uncontrollable. Therefore, it is important to understand the molecular mechanism of the mumps virus life cycle. This virus belongs to the family of Paramyxoviridae. Its genome, negative strand non-segmented RNA is protected by the nucleoprotein (N) by forming filamentous structures called nucleocapsids. N plays an important role in viral genome synthesis. Together with the polymerase and its cofactor phosphoprotein (P) they constitute the transcription-replication machinery. Both N and P contain folded and unfolded regions. Despite mumps virus common morphology with other paramyxovirus, there are some differences. It has been proposed that P is an antiparallel oligomer with two extremities on the one side being in interaction with the structural part of N (Ncore). The function of the disordered domain (Ntail) remains unclear, as it does not seem to bind to the C-terminal part of P, as is the case for other paramyxoviruses. The role of the disordered domains of P is also not known. In this project we revealed mechanisms of interaction between different regions of N and P and we explain how disordered regions of N and P are implicated in the regulation of the complex machinery of viral replication. We used the nuclear magnetic resonance which is the most powerful method to determine structure, dynamics and potential interaction partners, and therefore, function of disordered viral proteins.

For any drug candidate to be approved by the U.S. Food and Drug Administration, it must meet strict standards for safety and efficacy. While the field of nuclear medicine is over 100 years old, traditional methods such as external beams or systematic administration have rarely met these standards or have limited application. Ligand-targeted therapy and diagnostics, or “theranostics,” has emerged in the past several decades as an exciting field that offers new possibilities to design drugs that are both safe and effective. When applied to nuclear medicine, the field of ligand-targeted radioactive theranostics is younger still, with many critical lessons being discovered and applied currently. This dissertation outlines the necessary principles of radioactive theranostic drug design, then demonstrates the application of several more recent techniques to improve both the efficacy and safety of radioactive theranostics targeting two high priority oncological targets: fibroblast activation protein alpha and folate receptor.

Microalgae can be grown on municipal wastewater media to both treat the wastewater and produce feedstock for algae biofuel production. However the reliability of treatment must be demonstrated, as well as high areal algae productivity on recycled wastewater media and efficient sedimentation harvesting. This processes was studied at pilot scale in the present research. A pilot facility was operated with nine CO2-supplemented raceway ponds, each with a 33-m2 surface area and a 0.3-m depth, continuously from March 6, 2013 through September 24, 2014. The ponds were operated as three sets of triplicates with two sets continuously fed primary-clarified municipal wastewater at either a 2-day or 3-day hydraulic residence time (HRT), and one set fed the clarified effluent of the 3-day pond set. This second pond-in-series was operated with a 3-day HRT. Areal biomass productivity is reported as gross and net, the former based only on biomass in the pond effluents and the latter subtracting the volatile suspended solids in the influent from those in the effluent. An estimate was also made of autotrophic biomass productivity, as differentiated from heterotrophic growth. Over a year, net productivity averaged 83 metric tons per hectare per year (MT/ha-yr) for the 2-day HRT ponds, 52 MT/ha-yr for the 3-day HRT ponds, and 44 MT/ha-yr for the 3-day HRT ponds receiving clarified effluent of the first set of 3-day HRT ponds (i.e., recycled water). The lower net productivity of the pond receiving water recycling was attributed to two factors. First, the relatively high influent suspended solids concentrations were subtracted from the effluent suspended solids concentrations before net productivity was calculated. Second, the recycled water contained less soluble organic matter than the primary-clarified wastewater leading to less heterotrophic biomass production. The accumulation of inhibitory allelochemicals is a possible third cause of lower productivity , but no specific information was collected on allelopathy. Algae were harvested from pond effluent by sedimentation, with harvest efficiency most affected by the extent of natural bioflocculation occurring in the ponds. Some forms of bioflocculation are thought to be mediated by bacteria, which often make-up a substantial fraction of the settled flocs. Pond samples settled in 1-L Imhoff cones averaged/L total suspended solids after 24 hours of settling; but all ponds fell short of meeting an averaged/L total suspended solids after a 2 hour interval which would be ideally achieved for wastewater effluent. No relationship was seen between settling performance and the bacterial content of flocs. Soluble carbonaceous biochemical oxygen demand (scBOD5) removal by the raceway ponds was sufficient to meet wastewater treatment requirements year around. Influent scBOD5 concentrations averaged 83 mg/L, and the effluent averaged 5.1 mg/L and 4.2 mg/L for the 2-day and 3-day HRT pond sets, respectively. The variable with the greatest influence on productivity in all pond sets, and settling performance in the recycled water pond set, was season (i.e., co-correlated variables of solar insolation and pond temperature). Neither productivity nor settling appeared to be related to prominent algae genera or prevalence of grazers. The high net productivity achieved with a growth medium of primary clarifier effluent and the generally high settleability of algal-bacterial flocs indicate a good potential for algae wastewater treatment and biofuel production. However, the settling of algae grown on recycled water needs improvement to achieve the full potential of wastewater-grown algae biofuel production.

Microalgae are considered one of the most promising feedstocks for biofuel production for the future. The most efficient way to produce vast amounts of algal biomass is the use of closed tubular photobioreactors (PBR). The heat requirement for a given system is a major concern since the best algae growth rates are obtained between 25-30 °C, depending on the specific strain. A procedure to determine temperature influence on algal growth rates was developed for a lab-scale PBR system using the species Chlorella. A maximum growth rate of 1.44 doublings per day at 29 °C (optimal temperature) was determined. In addition, a dynamic mathematical model was developed to simulate heating and cooling energy requirements of tubular PBRs for any desired location. Operating the model with hourly weather data as input, heating and cooling loads can be calculated early in the planning stage of a project. Furthermore, the model makes it possible to compare the operation inside a greenhouse to the outdoor operations, and consequently provides fundamental information for an economic feasibility study. The best configuration for a specific location can be evaluated easily. The model was exemplary tested for a hypothetical 100,000 l photobioreactor located in San Luis Obispo, California, U.S.A. Average algae productivity rates of 23% and 67% for outdoor and indoor PBR operations, respectively, were obtained. Actual energy loads (heating and cooling) needed to maintain the PBR at optimal temperature were determined and compared. Sensitivity analyses had been performed for abrupt temperature and solar radiation steps, PBR row distances, ground reflectivities, and ventilation rates of the greenhouse. An optimal row distance of 0.75 m was determined for the specific PBR. The least amount of energy was needed for a ground reflectivity of 20%. The ventilation rate had no major influence on the productivity rate of the system. Results demonstrated the importance of a simulation model as well as the economic impact of a sophisticated heat management system. Energy savings due to an optimized heat management system will eventually increase proficiency of the systems, which will support a new sustainable industry and future developmental potential.

<p>G-protein coupled receptors (GPCRs) are membrane proteins that constitute ~30% of the FDA-approved drug targets. Opioid receptors are a subtype of GPCRs with four different receptor types: delta, kappa, mu, and nociception opioid receptors. Opioids such as morphine have been used for thousands of years and are deemed the most effective method for treating pain. However, opioids can have detrimental effects if used illicitly or over an extended period of time. Intriguingly, most of the clinically used opioids act on the mu opioid receptor (µOR). Hence, efforts in recent decades have focused on other opioid receptors to treat pain and other disorders. The delta opioid receptor (δOR) is one of four opioid receptors expressed in the central and peripheral nervous system. The δOR has attracted much attention as a potential target for a multitude of diseases and disorders including substance and alcohol use disorders, ischemia, migraine, and neurodegenerative diseases. However, to date, no δOR agonists, or drugs that act directly at the δOR, have been successful as clinical candidates. Nonetheless, the therapeutic potential of the δOR necessitates the targeting its pharmacologically. In this dissertation, I highlight peptide-based modulation as well as the identification of novel agonists at the δOR. I report research findings in the context of biased agonism at δOR, which is a hypothesized cellular signaling mechanism with potential therapeutic benefits. The focus on this work is the molecular determinants of biased agonism, which were investigated using a combination of cellular and computational approaches.  </p>