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Schizophrenia is a chronic psychotic illness affecting ~21 million people globally. Currently available antipsychotic agents act through a dopamine D2 receptor mechanism, and produce extrapyramidal or metabolic side effects. Hence, there is a need for novel targets and agents. The mGlu2/5-HT2A receptor heteromer has been implicated in the action of antipsychotic agents, and represents a novel and attractive therapeutic target for the treatment of schizophrenia. A long-term goal of this project is to synthesize bivalent ligands where a 5-HT2A receptor antagonist is tethered to an mGlu2 PAM via a linker. The goals of the investigation were to study the SAR of risperidone (an atypical antipsychotic agent) at 5-HT2A receptors using a “deconstruction-reconstruction-elaboration” approach to determine the minimal structural features of risperidone that contribute to its 5-HT2A receptor affinity and antagonism, and to determine where on the “minimized risperidone” structure an mGlu2 PAM can be introduced. Additional goals included studying the binding modes of various mGlu2 PAMs and identifying where on an mGlu2 PAM a risperidone “partial” structure could be introduced. Biological studies of deconstructed/elaborated analogs of risperidone suggest that the entire structure of risperidone is not necessary for 5-HT2A receptor affinity and antagonism, and that a fluoro group contributes to 5-HT2A binding. 6-Fluoro-3-(4-piperidinyl)-1,2-benz[d]isoxazole that has only half the structural features of risperidone retains 5-HT2A receptor affinity and antagonist activity, and represents the “minimized risperidone” structure with the piperidine nitrogen atom representing a potential linker site for eventual construction of bivalent ligands. Molecular modeling studies at 5-HT2A receptors suggest that risperidone and its analogs have more than one binding mode. Modeling studies to evaluate binding modes of various PAMs at mGlu2 receptors, coupled with known SAR information, were used to identify a PAM (JNJ-40411813), and the pyridone nitrogen atom of JNJ-40411813 as a potential linker site. Additionally, potential synthetic routes for JNJ-40411813 were explored that might be of value in the synthesis of bivalent ligands. Based on the structural features of 6-fluoro-3-(4-piperidinyl)-1,2-benz[d]isoxazole, a new pharmacophore for 5-HT2A receptor antagonists, consisting of one aromatic region, a basic protonated amine and hydrogen bond acceptors, has been proposed.

The Dukat laboratory developed 2-amino-6-chloro-3,4-dihydroquinazoline (A6CDQ) as a 5-HT3 receptor ligand. A6CDQ and one of its positional isomers, the 7-chloro analog A7CDQ, produced antidepressant-like effects in the mouse tail suspension test (TST). We investigated and systematically ruled out a solely 5-HT3 receptor or hSERT mediated mechanism of antidepressant-like effect for both A6CDQ and A7CDQ. The role of organic cation transporter 3 (OCT3) as an alternative mechanism in the regulation of neurotransmitters including serotonin (5-HT) and the therapeutic potential of targeting hOCT3 to achieve antidepressant effects has been established. By virtue of possessing protonatable nitrogen atoms, 2-aminodihyroquinazolines could potentially exhibit activity at OCT3. A major goal of our present study was to explore the non-serotonergic mechanism of antidepressant-like effects and to study the as yet unexplored structure-activity-relationships (SARs) at OCT3. We examined the role of i) the chloro group, ii) the methylene bridge and iii) electronic/lipophilic effects at the 6-position. We developed the first 3-D homology models of both the human and mouse orthologs of OCT3, conducted docking studies and HINT analysis, and identified critical amino acid residues interacting with 2-aminodihydroquinazoline analogs at hOCT3 and mOCT3. Retention of antidepressant-like activity in the mouse and potential locomotor stimulant effects for TST-active doses were thoroughly investigated. We have successfully investigated initial SAR of 2-aminodihydroquinazolines at hOCT3 and generated the first 3-D homology models of hOCT3 and mOCT3. Highly potent and selective compounds could potentially be developed as radioligands to probe the binding site of OCT3 and as a mechanistically novel class of antidepressants.

Alzheimer’s disease is a progressive neurodegenerative disorder generally affecting people above the age of 65 years. Even though the pathophysiological hallmarks of AD were established more than a hundred years ago, there is yet to be a drug that can stop its characteristic neuronal damage. Of the five currently FDA-approved drugs, galantamine has a unique mechanism of action. Apart from being an AChE inhibitor, galantamine can effectively potentiate (positive allosteric modulator) the effect of agonists at nAChRs at concentrations lower than those required for its action as an AChE inhibitor. Perhaps the clinical benefits observed with galantamine are associated mainly with its nAChRs-PAM action and not its AChE inhibitory effect. Inhibiting AChE causes a delay in the degradation of ACh and a prolonged presence of ACh might act at either nAChRs or mAChRs. By indirectly targeting mAChRs as well, AChE inhibitors may lead to potential side effects. Hence there is a need for specific nAChR agents. The aim of this study was to identify the structural features of galantamine that contribute solely towards its a7 nAChR-PAM effect. In doing so, we wish to divorce the structural features that might be important for interacting with AChE. Using the deconstruction approach, we have synthesized structurally abbreviated analogs of galantamine. To study the probable interactions, we docked these molecules in human a7 nAChR homology models. Ultimately, it is of interest to determine which analogs retain the PAM activity of galantamine and to address that, a preliminary screening was performed with a select few analogs using the two-electrode voltage clamp technique

La signalisation calcique joue un rôle crucial dans la réponse des cellules aux signaux extracellulaires. Ces dernières années, les progrès des techniques de microscopie ont permis de montrer que l'organisation spatio-temporelle du signal calcique était un élément fondamental de la réponse des cellules. L'organisation temporelle du signal calcium se caractérise ainsi par l'observation d'oscillations de calcium dont la fréquence varie en fonction du stimulus. Pour de nombreux types cellulaires, et notamment pour les hépatocytes, modèle cellulaire de notre étude, l'amplitude et la fréquence des oscillations de calcium sont très régulières et finement régulées. Les nombreux facteurs qui interviennent pour assurer cette régulation rendent l'étude de ce processus difficile. Ceci explique que l'étude des oscillations de calcium est un des domaines dans lequel l'aspect expérimental est communément complété avec la modélisation mathématique.Parmi les nombreux éléments qui participent à la régulation du signal calcique, les mitochondries qui ont longtemps été considérées comme ayant un rôle passif, pourraient jouer un rôle important. En effet il a été établi que les mitochondries étaient capables d'accumuler de façon active le calcium libéré par le reticulum endoplasmique. Notre objectif a donc été d'étudier l'importance des mitochondries dans la régulation des oscillations de calcium dans les hépatocytes, et grâce à nos résultats expérimentaux, de mettre au point un modèle mathématique. Pour cela nous avons choisi de modifier la prise de calcium par les mitochondries en altérant le moins possible leur fonctionnement normal. Nous avons utilisé une protéine altérant directement la prise de calcium par les mitochondries (HINT 2) et une autre protéine altérant l'interaction entre le reticulum endoplasmique et les mitochondries (R-1). Nos résultats expérimentaux et computationnels démontrent que la protéine HINT 2 augmente l'activité de la chaine respiratoire, ce qui a pour effet d'accélérer l'accumulation de calcium par les mitochondries et d'augmenter la fréquence des oscillations de calcium cytosolique dans les hépatocytes. En effet le modèle élaboré permet à la fois de reproduire les observations expérimentales mais également de prédire avec succès que l'absence de la protéine Hint 2 rend les mitochondries plus sensibles à l'ouverture du pore de transition mitochondrial (mPTP). Nous avons également démontré que le R-1 n'affecte pas significativement la prise de calcium par les mitochondries mais que sa surexpression aboutit à une élévation de la concentration calcique de base des cellules hépatocytaires. A la lumière de nos résultats, cette élévation de la concentration de calcium basale semble être due à son interaction physique avec la pompe ATPase SERCA 2. Nos résultats nous ont permis de mettre en évidence à la fois la contribution des mitochondries dans la régulation des oscillations de calcium dans les hépatocytes grâce à la protéine Hint 2, mais aussi le lien direct entre la surexpression du R-1 et l'élévation de la concentration en calcium de base dans les cellules HepG2.

Protein structure predication is a field of computational molecular modeling with an enormous potential for improvement. Side-chain geometry prediction is a critical component of this process that is crucial for computational protein structure predication as well as crystallographers in refining experimentally determined protein crystal structures. The cornerstone of side-chain geometry prediction are side-chain rotamer libraries, usually obtained through exhaustive statistical analysis of existing protein structures. Little is known, however, about the driving forces leading to the preference or suitability of one rotamer over another. Construction of 3D hydropathic interaction maps for nearly 30,000 tyrosines extracted from the PDB reveals their environments, in terms of hydrophobic and polar (collectively “hydropathic”) interactions. Using a unique 3D similarity metric, these environments were clustered with k-means. In the ϕ, ψ region (–200° < ϕ < –155°; –205° < ψ < –160°) representing 631 tyrosines, clustering reduced the set to 14 unique hydropathic environments, with most diversity arising from favorable hydrophobic interactions. Polar interactions for tyrosine include ubiquitous hydrogen bonding with the phenolic OH and a handful of unique environments surrounding the backbone. The memberships of all but one of the 14 environments are dominated by a single χ1/χ2 rotamer. Each tyrosine residue attempts to fulfill its hydropathic valence. Structural water molecules are thus used in a variety of roles throughout protein structure. A second project involves elucidating the 3D structure of CRIP1a, a cannabinoid 1 receptor (CB1R) binding protein that could provide information for designing small molecules targeting the CRIP1a-CB1R interaction. The CRIP1a protein was produced in high purity. Crystallization experiments failed, both with and without the last 9 or 12 amino acid peptide of the CB1R C-terminus. Attempts were made to use NMR for structure determination; however, the protein precipitated out during data acquisition. A model was thus built computationally to which the CB1R C-terminus peptide was docked. HINT was used in selecting optimum models and analyzing interactions involved in the CRIP1a-CB1R complex. The final model demonstrated key putative interactions between CRIP1a and CB1R while also predicting highly flexible areas of the CRIP1a possibly contributing to the difficulties faced during crystallization.

Hydropathic molecular modeling is a computer-aided molecular design technique for obtaining, representing, and understanding the properties and interactions of biomacromolecular complexes in the biological environment. Hydropathic INTeraction (HINT) is a novel empirical force field to calculate the free energy of intermolecular interaction based on experimentally determined partition coefficients (log Po/w). It includes all the expected interactions between molecules such as hydrogen bonding, hydrophobic, electrostatic, acid-base, and Coulombic interactions, entropy, solvation and others. HINT tools were used to determine, evaluate, and analyze protein-ligand interactions in different research projects: 1) We used these tools to discover small molecule inhibitors of PsaA, a potential target for Streptococcus pneumoniae. We screened and scored potential molecules to obtain hits. After the growth conditions for both the wild type and PsaA mutant of S. pneumoniae were optimized, we then tested our hits. A few compounds passed through the three-stage assay protocol and confirmed the inhibition of PsaA with MICs between 125-250 μM. 2) The SAR of C-3 and C-5 pyrrole-based antitubulin agents at the colchicine-binding site with explicitly solvated models was performed. After docking with GOLD at the colchicine site, post-docking scoring and evaluation were performed with HINT. The total HINT score correlates with binding and activity; similarly, the significance of individual functional groups, protein residues and interactions amongst a collection of compounds can be quantitated. The possibility of water-mediated interactions in a way solvent accessible part of the pocket was considered by subjecting molecular models to MD simulations. Several water molecules were identified to be contributing to the binding and were confirmed by HINT scoring. Finally, using hydropathic molecular modeling tools helped us to understand, evaluate, analyze, and improve protein-ligand interactions in different biological systems.

5-HT2B receptor agonism causes cardiac valvulopathy, a condition characterized by thickening of the heart valves and as a result, regurgitation of blood within the heart. The anti-obesity drug fenfluramine, which was originally prescribed as an anorectic, was withdrawn from the market due to causing cardiac valvulopathy. Fenfluramine, after metabolism by N-dealkylation, produces the metabolite norfenfluramine, which acts as a more potent valvulopathogen. The same was seen with MDMA (ecstasy), a popular drug of abuse, which is metabolized by N-dealkylation to produce MDA, a more potent valvulopathogen. Glennon and co-workers. studied a series of 2,5-dimethoxy-4- substituted phenylisopropylamines (DOX type) hallucinogens and determined their affinities at the three types of 5-HT2 receptors. A high correlation was found between the affinities of these molecules at 5-HT2A and 5-HT2B receptors. Therefore, these hallucinogens have a high possibility of causing valvulopathy, which gives rise to a new class of valvulopathogens. Since certain hallucinogens have the common phenylisopropylamine structural scaffold as that of MDA and norfenfluramine, we conducted 3D-QSAR studies to identify the common structural features of these molecules that are responsible for their high affinities. We were unable to obtain a suitable CoMFA and CoMSIA model for 5-HT2B receptors, but we were able to obtain an internally and externally validated model for 5-HT2A receptor affinities which indicated the hydrophobicity of the substituent at the 4- position was essential for high affinity. Following up with this evidence, we conducted a correlation analysis for the hydrophobicity (π-value) of the 4-position substituent and found a positive correlation between the π-value and the affinity of the molecules. The same results were not observed for the volume of the substituents. We docked the molecules into the 5-HT2B receptor and successfully generated models of the putative interactions made by the DOX molecules and the receptor. In order to compare their binding modes with respect to known valvulopathogens, we also generated models for norfenfluramine and MDA. Our docking results revealed that DOX molecules bind in a more or less similar manner to valvulopathogens MDA and norfenfluramine. Ours is the first in silico model developed for the potent valvulopathogen MDA and the hallucinogenic DOX series of molecules.

This thesis proposes a security solution in key management and Intrusion Detection System (IDS) for wireless sensor networks. It addresses challenges of designing in energy and security requirement. Since wireless communication consumes the most energy in sensor network, transmissions must be used efficiently. We propose Hint Key Distribution (HKD) for key management and Adaptive IDS for distributing activated IDS nodes and cooperative operation of these two protocols. HKD protocol focuses on the challenges of energy, computation and security. It uses a hint message and key chain to consume less energy while self-generating key can secure the secret key. It is a proposed solution to key distribution in sensor networks. Adaptive IDS uses threshold and voting algorithm to distribute IDS through the network. An elected node is activated IDS to monitor its network and neighbors. A threshold is used as a solution to reduce number of repeated activations of the same node. We attempt to distribute the energy use equally across the network. In a cooperative protocol, HKD and Adaptive IDS exchange information in order to adjust to the current situation. The level of alert controls the nature of the interaction between the two protocols.

The main aim of this diploma thesis is to propose for changes in the company information system. Document content is focuse on analyse, implementation and using data warehouse and usage advance to optimaze methods for achievement added value to users. The first part of this thesis is focused on choice of suitable concept of data warehouse, implementation and possible problems. In the second part, I compare assets of this system with costs for development and administration.