877 resultados para Subtractive clustering


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L'objectiu d'aquest treball serà fer mineria d'opinions de la xarxa social de microblogging Twitter. En primer lloc, durem a terme una tasca de classificació de sentiments fent servir un lexicó simple. A continuació, emprarem la tècnica de les regles d'associació i, finalment, farem tasques de clustering.

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This work proposes an original contribution to the understanding of shermen spatial behavior, based on the behavioral ecology and movement ecology paradigms. Through the analysis of Vessel Monitoring System (VMS) data, we characterized the spatial behavior of Peruvian anchovy shermen at di erent scales: (1) the behavioral modes within shing trips (i.e., searching, shing and cruising); (2) the behavioral patterns among shing trips; (3) the behavioral patterns by shing season conditioned by ecosystem scenarios; and (4) the computation of maps of anchovy presence proxy from the spatial patterns of behavioral mode positions. At the rst scale considered, we compared several Markovian (hidden Markov and semi-Markov models) and discriminative models (random forests, support vector machines and arti cial neural networks) for inferring the behavioral modes associated with VMS tracks. The models were trained under a supervised setting and validated using tracks for which behavioral modes were known (from on-board observers records). Hidden semi-Markov models performed better, and were retained for inferring the behavioral modes on the entire VMS dataset. At the second scale considered, each shing trip was characterized by several features, including the time spent within each behavioral mode. Using a clustering analysis, shing trip patterns were classi ed into groups associated to management zones, eet segments and skippers' personalities. At the third scale considered, we analyzed how ecological conditions shaped shermen behavior. By means of co-inertia analyses, we found signi cant associations between shermen, anchovy and environmental spatial dynamics, and shermen behavioral responses were characterized according to contrasted environmental scenarios. At the fourth scale considered, we investigated whether the spatial behavior of shermen re ected to some extent the spatial distribution of anchovy. Finally, this work provides a wider view of shermen behavior: shermen are not only economic agents, but they are also foragers, constrained by ecosystem variability. To conclude, we discuss how these ndings may be of importance for sheries management, collective behavior analyses and end-to-end models.

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Background¦Erythrocyte MCV might be used as an inexpensive marker to predict and¦optimize the efficacy and tolerability of thiopurine therapy in IBD patients.¦Aim and methods¦This retrospective observational study aimed to assess the monitoring¦performances of MCV in patients under 3 months or more thiopurine treatment followed up¦in the Swiss IBD Cohort Study. All available MCV, white blood cells (WBC) and 6¦thioguanine nucleotide (6TGN) measurements, among others, were recorded. An IBD¦"flare" was defined as a composite outcome encompassing treatment change,¦colonoscopy, histology, CT scan or MRI reports showing active IBD lesions, occurrence of¦intestinal surgery and IBD-related hospitalisations. Whether MCV measurements predicted¦efficacy of thiopurine treatment was investigated by assessing the statistical association¦between the occurrence of IBD "flares", and the current or recent MCV values, taking into¦account the patient clustering and longitudinal aspect of data.¦Results¦140 patients (77 women), mean age 38 years (17-74), 104 diagnosed with¦Crohn's disease, 36 with ulcerative colitis, mean disease duration 8 years (0.25-36),¦receiving either azathioprine (n=125) or 6-mercaptopurine (n=15) were included, most of¦them over 3-year follow up.¦Thiopurines increased mean patient MCV by an average 5.8±5.2 fL, while¦patientsfluctuated by ±4.3 fL around their individual mean (p<0.001). They decreased¦WBC by an average of 2.4+/- 2.6 G/L (p<0.001).¦Significant associations were observed between the probability of flare occurrence and low¦current MVC (p=0.017) or high current WBC (p=0.009) and, with a relative risk of 3.7% for¦every fL of MCV decrease or 8% for every G/L of WBC increase. Both markers revealed¦some memory effect.¦Despite this, the performance of MCV and WBC to predict IBD "flare" remained rather¦limited, as it is less accurate than the 6-TGN-level , although only determined in a¦subgroup of patients in this study.¦Conclusion¦MCV and WBC deserve to be observed to check and monitor therapeutic¦exposure to thiopurine agents in IBD patients. Unfortunately, their predictive performance¦precludes their privileged use for optimization of therapy. Further prospective studies¦should suitably include the systematic measurement of metabolite concentration.

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Transmission of drug-resistant variants is influenced by several factors, including the prevalence of drug resistance in the population of HIV-1-infected patients, HIV-1 RNA levels and transmission by recently infected patients. In order to evaluate the impact of these factors on the transmission of drug-resistant variants, we have defined the population of potential transmitters and compared their resistance profiles to those of newly infected patients. Sequencing of pol gene was performed in 220 recently infected patients and in 373 chronically infected patients with HIV-1 RNA >1000 copies/ml. Minimal and maximal drug-resistance profiles of potential transmitters were estimated by weighting resistance profiles of chronically infected patients with estimates of the Swiss HIV-1-infected population, the prevalence of exposure to antiviral drugs and the proportion of infections attributed to primary HIV infections. The drug-resistance prevalence in recently infected patients was 10.5% (one class drug resistance: 9.1%; two classes: 1.4%; three classes: 0%). Phylogenetic analysis revealed significant clustering for 30% of recent infections. The drug-resistance prevalence in chronically infected patients was 72.4% (one class: 29%; two classes: 27.6%; three classes: 15.8%). After adjustment, the risk of transmission relative to wild-type was reduced both for one class drug resistance (minimal and maximal estimates: odds ratio: 0.39, P<0.001; and odds ratio: 0.55, P=0.011, respectively), and for two to three class drug resistance (odds ratios: 0.05 and 0.07, respectively, P<0.001). Neither sexual behaviour nor HIV-1 RNA levels explained the low transmission of drug-resistant variants. These data suggest that drug-resistant variants and in particular multidrug-resistant variants have a substantially reduced transmission capacity.

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ABSTRACT : Research in empirical asset pricing has pointed out several anomalies both in the cross section and time series of asset prices, as well as in investors' portfolio choice. This dissertation aims to discover the forces driving some of these "puzzling" asset pricing dynamics and portfolio decisions observed in the financial market. Through the dissertation I construct and study dynamic general equilibrium models of heterogeneous investors in the presence of frictions and evaluate quantitatively their implications for financial-market asset prices and portfolio choice. I also explore the potential roots of puzzles in international finance. Chapter 1 shows that, by introducing jointly endogenous no-default type of borrowing constraints and heterogeneous beliefs in a dynamic general-equilibrium economy, many empirical features of stock return volatility can be reproduced. While most of the research on stock return volatility is empirical, this paper provides a theoretical framework that is able to reproduce simultaneously the cross section and time series stylized facts concerning stock returns and their volatility. In contrast to the existing theoretical literature related to stock return volatility, I don't impose persistence or regimes in any of the exogenous state variables or in preferences. Volatility clustering, asymmetry in the stock return-volatility relationship, and pricing of multi-factor volatility components in the cross section all arise endogenously as a consequence of the feedback between the binding of no-default constraints and heterogeneous beliefs. Chapters 2 and 3 explore the implications of differences of opinion across investors in different countries for international asset pricing anomalies. Chapter 2 demonstrates that several international finance "puzzles" can be reproduced by a single risk factor which captures heterogeneous beliefs across international investors. These puzzles include: (i) home equity preference; (ii) the dependence of firm returns on local and foreign factors; (iii) the co-movement of returns and international capital flows; and (iv) abnormal returns around foreign firm cross-listing events in the local market. These are reproduced in a setup with symmetric information and in a perfectly integrated world with multiple countries and independent processes producing the same good. Chapter 3 shows that by extending this framework to multiple goods and correlated production processes; the "forward premium puzzle" arises naturally as a compensation for the heterogeneous expectations about the depreciation of the exchange rate held by international investors. Chapters 2 and 3 propose differences of opinion across international investors as the potential resolution of several international finance `puzzles'. In a globalized world where both capital and information flow freely across countries, this explanation seems more appealing than existing asymmetric information or segmented markets theories aiming to explain international finance puzzles.

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An EGFP construct interacting with the PIB1000-PEG6000-PIB1000 vesicles surface reported a ~2-fold fluorescence emission enhancement. Because of the constructs nature with the amphiphilic peptide inserted into the PIB core, EGFP is expected to experience a "pure" PEG environment. To unravel this phenomenon PEG/water solutions at different molecular weights and concentrations were used. Already at ~1 : 10 protein/PEG molar ratio the increase in fluorescence emission is observed reaching a plateau correlating with the PEG molecular weight. Parallel experiments in presence of glycerol aqueous solutions did show a slight fluorescence enhancement however starting at much higher concentrations. Molecular dynamics simulations of EGFP in neat water, glycerol, and PEG aqueous solutions were performed showing that PEG molecules tend to "wrap" the protein creating a microenvironment where the local PEG concentration is higher compared to its bulk concentration. Because the fluorescent emission can be perturbed by the refractive index surrounding the protein, the clustering of PEG molecules induces an enhanced fluorescence emission already at extremely low concentrations. These findings can be important when related to the use of EGFP as reported in molecular biology experiments.

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α-dystroglycan is a highly O-glycosylated extracellular matrix receptor that is required for anchoring of the basement membrane to the cell surface and for the entry of Old World arenaviruses into cells. Like-acetylglucosaminyltransferase (LARGE) is a key molecule that binds to the N-terminal domain of α-dystroglycan and attaches ligand-binding moieties to phosphorylated O-mannose on α-dystroglycan. Here we show that the LARGE modification required for laminin- and virus-binding occurs on specific Thr residues located at the extreme N terminus of the mucin-like domain of α-dystroglycan. Deletion and mutation analyses demonstrate that the ligand-binding activity of α-dystroglycan is conferred primarily by LARGE modification at Thr-317 and -319, within the highly conserved first 18 amino acids of the mucin-like domain. The importance of these paired residues in laminin-binding and clustering activity on myoblasts and in arenavirus cell entry is confirmed by mutational analysis with full-length dystroglycan. We further demonstrate that a sequence of five amino acids, Thr(317)ProThr(319)ProVal, contains phosphorylated O-glycosylation and, when modified by LARGE is sufficient for laminin-binding. Because the N-terminal region adjacent to the paired Thr residues is removed during posttranslational maturation of dystroglycan, our results demonstrate that the ligand-binding activity resides at the extreme N terminus of mature α-dystroglycan and is crucial for α-dystroglycan to coordinate the assembly of extracellular matrix proteins and to bind arenaviruses on the cell surface.

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Arenaviruses are enveloped negative-strand RNA viruses that contain a bi-segmented genome. They are rodent-borne pathogens endemic to the Americas and Africa, with the exception of lymphocytic choriomeningitis virus (LCMV) that is world-wide distributed. The arenaviruses include numerous important human pathogens including the Old World arenavirus Lassa virus (LASV), the causative agent of a severe viral hemorrhagic fever in humans with several hundred thousand infections per year in Africa and thousands of deaths. Viruses are obligatory intracellular parasites, strictly depending on cellular processes and factors to complete their replication cycle. The binding of a virus to target cells is the first step of every viral infection, and is mainly mediated by viral proteins that can directly engage cellular receptors, providing a key determinant for viral tropism. This early step of infection represents a promising target to block the pathogen before it can take control over the host cell. Old World arenaviruses, such as LASV and LCMV, bind to host cells via attachment to their main receptor, dystroglycan (DG), an ubiquitous receptor for extracellular matrix proteins. The engagement of DG by LASV results in a fast internalization and transfer the virus to late endosomal compartment suggesting that the virus binding to DG causes marked changes in the dynamics of the receptor. These events could result in the clustering of the receptor and subsequent induction of signaling that could be modulated by the virus. Recently, numerous findings also suggest the presence of alternative receptor(s) for LASV in absence of the main DG receptor. In my first project, I was interested to investigate the effects of virus-receptor binding on the tyrosine phosphorylation of the cytoplasmic domain of DG and to test if this post-translational modification was crucial for the internalization of the LASV-receptor complex. We found that engagement of cellular DG by a recombinant LCMV expressing the envelope GP of LASV in human epithelial cells induced tyrosine phosphorylation of the cytoplasmic domain of DG. LASV GP binding to DG further resulted in dissociation of the adapter protein utrophin from virus-bound DG. Virus-induced dissociation of utrophin and consequent virus internalization were affected by the broadly specific tyrosine kinase inhibitor genistein. We speculate that the detachment of virus- bound DG from the actin-based cytoskeleton following DG phosphorylation may facilitate subsequent endocytosis of the virus-receptor complex. In the second project, I was interested to characterize the newly indentified LASV alternative receptor Axl in the context of productive arenavirus infection. In a first step, we demonstrated that Axl supports productive infection by rLCMV-LASVGP in a DG-independent manner. In line with previous studies, cell entry of rLCMV-LASVGP via Axl was less efficient when compared to functional DG. Interestingly, Axl-mediated infection showed rapid kinetics similar to DG-dependent entry. Using a panel of inhibitors, we found that Axl-mediated cell entry of rLCMV-LASVGP involved a clathrin-independent pathway that critically depended on actin and dynamin and was sensitive to EIPA but not to PAK inhibitors, compatible with a macropinocytosis-like mechanism of entry. In a next step, we aimed to investigate the molecular mechanism by which rLCMV-LASVGP recognizes Axl. Phosphatidylserine (PS) is the natural ligand of Axl via the adaptor protein Gas6. We detected the presence of PS in the envelope of Old World arenaviruses, suggesting that PS could mediate Axl-virus binding, in a mechanism of apoptotic mimicry already described for other viruses. Whether envelope PS and/or the GP of LASV plays any role in virus entry via Axl is still an open question. The molecular mechanisms underlying host cell-virus interaction are of particular interest to answer basic scientific questions as well as to apply key findings to translational research. Understanding pathogen induced-signaling and its link to invasion of the host cell is of great importance to develop drugs for therapeutic intervention against highly pathogenic viruses like LASV. - Les Arenavirus sont des virus enveloppés à ARN négatifs organisés sous forme de génome bisegmenté. Ils sont véhiculés par les rongeurs et se retrouvent de manière endémique aux Amériques et en Afrique avec l'exception du virus de la chorioméningite lymphocytaire (LCMV) qui lui est distribué mondialement. De nombreux pathogènes humains font parti de la famille des Arenavirus dont le virus de l'Ancien Monde Lassa (LASV), un agent responsable de fièvres hémorragiques sévères chez les humains. Le virus de Lassa cause plusieurs centaines de milliers d'infections par année en Afrique ainsi que des milliers de morts. De manière générale, les virus sont des parasites intracellulaires obligatoires qui dépendent strictement de processus et facteurs cellulaires pour clore leur cycle de réplication. L'attachement d'un virus à sa cellule cible représente la première étape de chaque infection virale et est principalement dirigée par des protéines virales qui interagissent directement avec leur récepteurs cellulaires respectifs fournissant ainsi un indicateur déterminant pour le tropisme d'un virus. Cette première étape de l'infection représente aussi une cible prometteuse pour bloquer le pathogène avant qu'il ne puisse prendre le contrôle de la cellule. Les Arenavirus de l'Ancien Monde comme LASV et LCMV s'attachent à la cellule hôte en se liant à leur récepteur principal, le dystroglycan (DG), un récepteur ubiquitaire pour les protéines de la matrice extracellulaire. La liaison du DG par LASV résulte en une rapide internalisation transférant le virus aux endosomes tardifs suggérant ainsi que l'attachement du virus au DG peut provoquer des changements marqués dans la dynamique moléculaire du récepteur. Ces événements sont susceptibles d'induire un regroupement du récepteur à la surface cellulaire, ainsi qu'une induction subséquente qui pourrait être, par la suite, modulée par le virus. Récemment, plusieurs découvertes suggèrent aussi la présence d'un récepteur alternatif pour LASV en l'absence du récepteur principal, le DG. Concernant mon premier projet, j'étais intéressée à étudier les effets de la liaison virus- récepteur sur la phosphorylation des acides aminés tyrosines se trouvant dans la partie cytoplasmique du DG, le but étant de tester si cette modification post-translationnelle était cruciale pour Γ internalisation du complexe LASV-DG récepteur. Nous avons découvert que l'engagement du récepteur DG par le virus recombinant LCMV, exprimant la glycoprotéine de LASV, dans des cellules épithéliales humaines induit une phosphorylation de résidu(s) tyrosine se situant dans le domaine cytoplasmique du DG. La liaison de la glycoprotéine de LASV au DG induit par la suite la dissociation de la protéine adaptatrice utrophine du complexe virus-DG récepteur. Nous avons observé que cette dissociation de l'utrophine, induite par le virus, ainsi que son internalisation, sont affectées par l'inhibiteur à large spectre des tyrosines kinases, la génistéine. Nous avons donc supposé que le détachement du virus, lié au récepteur DG, du cytosquelette d'actine suite à la phosphorylation du DG faciliterait l'endocytose subséquente du complexe virus-récepteur. Dans le second projet, j'étais intéressée à caractériser le récepteur alternatif Axl qui a été récemment identifié dans le contexte de l'infection productive des Arenavirus. Dans un premier temps, nous avons démontré que le récepteur alternatif Axl permet l'infection des cellules par le virus LCMV recombinant LASV indépendamment du récepteur DG. Conformément aux études publiées précédemment, nous avons pu observer que l'entrée du virus recombinant LASV via Axl est moins efficace que via le récepteur principal DG. De façon intéressante, nous avons aussi remarqué que l'infection autorisée par Axl manifeste une cinétique virale d'entrée similaire à celle observée avec le récepteur DG. Utilisant un éventail de différents inhibiteurs, nous avons trouvé que l'entrée du virus recombinant rLCMV-LASVGP via Axl implique une voie d'entrée indépendante de la clathrine et dépendant de manière critique de l'actine et de la dynamine. Cette nouvelle voie d'entrée est aussi sensible à l'EIPA contrairement aux inhibiteurs PAK indiquant un mécanisme d'entrée compatible avec un mécanisme de macropinocytose. L'étape suivante du projet a été d'investiguer le mécanisme moléculaire par lequel le virus recombinant rLCMV-LASVGP reconnaît le récepteur alternatif Axl. La phosphatidylsérine (PS) se trouve être un ligand naturel pour Axl via la protéine adaptatrice Gas6. Nous avons détecté la présence de PS dans l'enveloppe des Arenavirus du Vieux Monde suggérant que la PS pourrait médier la liaison du virus à Axl dans un mécanisme de mimétisme apoptotique déjà observé et décrit pour d'autres virus. Cependant, il reste encore à déterminer qui de la PS ou de la glycoprotéine de l'enveloppe virale intervient dans le processus d'entrée de LASV via le récepteur alternatif Axl. Les mécanismes moléculaires à la base de l'interaction entre virus et cellule hôte sont d'intérêts particuliers pour répondre aux questions scientifiques de base ainsi que dans l'application de découvertes clés pour la recherche translationnelle. La compréhension de la signalisation induite par les pathogènes ainsi que son lien à l'invasion de la cellule hôte est d'une importance considérable pour le développement de drogues pour l'intervention thérapeutique contre les virus hautement pathogènes comme LASV.

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The in situ hybridization Allen Mouse Brain Atlas was mined for proteases expressed in the somatosensory cerebral cortex. Among the 480 genes coding for protease/peptidases, only four were found enriched in cortical interneurons: Reln coding for reelin; Adamts8 and Adamts15 belonging to the class of metzincin proteases involved in reshaping the perineuronal net (PNN) and Mme encoding for Neprilysin, the enzyme degrading amyloid β-peptides. The pattern of expression of metalloproteases (MPs) was analyzed by single-cell reverse transcriptase multiplex PCR after patch clamp and was compared with the expression of 10 canonical interneurons markers and 12 additional genes from the Allen Atlas. Clustering of these genes by K-means algorithm displays five distinct clusters. Among these five clusters, two fast-spiking interneuron clusters expressing the calcium-binding protein Pvalb were identified, one co-expressing Pvalb with Sst (PV-Sst) and another co-expressing Pvalb with three metallopeptidases Adamts8, Adamts15 and Mme (PV-MP). By using Wisteria floribunda agglutinin, a specific marker for PNN, PV-MP interneurons were found surrounded by PNN, whereas the ones expressing Sst, PV-Sst, were not.

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Aim To improve our understanding of how biological communities assemble, we investigated changes in bumblebee communities in space along an elevation gradient. We assessed how much deterministic abiotic and biotic factors shape community assembly. We focused on proboscis length (influencing the species' dietary regime) and phylogenetic relatedness to investigate if competition and environmental filtering occur in more and less productive climates, respectively. Location Western Swiss Alps. Methods We recorded bumblebee species in 149 plots along a 1800-m wide elevation gradient. We contrasted two major clades of bumblebees, a short-tongued and a long-tongued clade. We calculated the phylogenetic and proboscis-length diversity of the bumblebee communities and compared these observed data with a random distribution to detect clustering likely to be caused by environmental filtering or overdispersion likely to be caused by competition. We compared the prevalence of clustered and overdispersed communities along the gradients of plant species richness (biotic) and temperature (abiotic). Results Under colder conditions, where plant species richness is lower and floral resources are scarcer, the clade with shorter proboscides prevails over the clade with longer proboscides, and communities are functionally and phylogenetic clustered. Under warmer conditions, we found phylogenetic but not functional overdispersion in communities. Main conclusions We show for the first time a strong correlation between phylogenetic relatedness, proboscis length and species distribution along temperature and plant richness gradients shaping bumblebee communities. The low temperatures and low levels of plant species richness limit the dispersal of the species from the long-tongued clade, which have more specialized diets, into high-elevation areas. Competition under warmer conditions may produce communities composed of less closely related species that share distinct ecological preferences. Our empirical results corroborate theoretical expectation as well as experiments on the prevalence of deterministic processes in the most severe and most productive parts of environmental gradients.

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Background. Human immunodeficiency virus type 1 (HIV-1) transmitted drug resistance (TDR) can compromise antiretroviral therapy (ART) and thus represents an important public health concern. Typically, sources of TDR remain unknown, but they can be characterized with molecular epidemiologic approaches. We used the highly representative Swiss HIV Cohort Study (SHCS) and linked drug resistance database (SHCS-DRDB) to analyze sources of TDR. Methods. ART-naive men who have sex with men with infection date estimates between 1996 and 2009 were chosen for surveillance of TDR in HIV-1 subtype B (N = 1674), as the SHCS-DRDB contains pre-ART genotypic resistance tests for >69% of this surveillance population. A phylogeny was inferred using pol sequences from surveillance patients and all subtype B sequences from the SHCS-DRDB (6934 additional patients). Potential sources of TDR were identified based on phylogenetic clustering, shared resistance mutations, genetic distance, and estimated infection dates. Results. One hundred forty of 1674 (8.4%) surveillance patients carried virus with TDR; 86 of 140 (61.4%) were assigned to clusters. Potential sources of TDR were found for 50 of 86 (58.1%) of these patients. ART-naive patients constitute 56 of 66 (84.8%) potential sources and were significantly overrepresented among sources (odds ratio, 6.43 [95% confidence interval, 3.22-12.82]; P < .001). Particularly large transmission clusters were observed for the L90M mutation, and the spread of L90M continued even after the near cessation of antiretroviral use selecting for that mutation. Three clusters showed evidence of reversion of K103N or T215Y/F. Conclusions. Many individuals harboring viral TDR belonged to transmission clusters with other Swiss patients, indicating substantial domestic transmission of TDR in Switzerland. Most TDR in clusters could be linked to sources, indicating good surveillance of TDR in the SHCS-DRDB. Most TDR sources were ART naive. This, and the presence of long TDR transmission chains, suggests that resistance mutations are frequently transmitted among untreated individuals, highlighting the importance of early diagnosis and treatment.

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In groundwater applications, Monte Carlo methods are employed to model the uncertainty on geological parameters. However, their brute-force application becomes computationally prohibitive for highly detailed geological descriptions, complex physical processes, and a large number of realizations. The Distance Kernel Method (DKM) overcomes this issue by clustering the realizations in a multidimensional space based on the flow responses obtained by means of an approximate (computationally cheaper) model; then, the uncertainty is estimated from the exact responses that are computed only for one representative realization per cluster (the medoid). Usually, DKM is employed to decrease the size of the sample of realizations that are considered to estimate the uncertainty. We propose to use the information from the approximate responses for uncertainty quantification. The subset of exact solutions provided by DKM is then employed to construct an error model and correct the potential bias of the approximate model. Two error models are devised that both employ the difference between approximate and exact medoid solutions, but differ in the way medoid errors are interpolated to correct the whole set of realizations. The Local Error Model rests upon the clustering defined by DKM and can be seen as a natural way to account for intra-cluster variability; the Global Error Model employs a linear interpolation of all medoid errors regardless of the cluster to which the single realization belongs. These error models are evaluated for an idealized pollution problem in which the uncertainty of the breakthrough curve needs to be estimated. For this numerical test case, we demonstrate that the error models improve the uncertainty quantification provided by the DKM algorithm and are effective in correcting the bias of the estimate computed solely from the MsFV results. The framework presented here is not specific to the methods considered and can be applied to other combinations of approximate models and techniques to select a subset of realizations

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The enzyme 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2) is selectively expressed in aldosterone target tissues, conferring aldosterone selectivity for the mineralocorticoid receptor. A diminished activity causes salt-sensitive hypertension. The mechanism of the variable and distinct 11β-hydroxysteroid dehydrogenase type 2 gene (HSD11B2) expression in the cortical collecting duct is poorly understood. Here, we analyzed for the first time whether the 11β-HSD2 expression is modulated by microRNAs (miRNAs). In silico analysis revealed 53 and 27 miRNAs with potential binding sites on human or rat HSD11B2 3'-untranslated region. A reporter assay demonstrated 3'-untranslated region-dependent regulation of human and rodent HSD11B2. miRNAs were profiled from cortical collecting ducts and proximal convoluted tubules. Bioinformatic analyses showed a distinct clustering for cortical collecting ducts and proximal convoluted tubules with 53 of 375 miRNAs, where 13 were predicted to bind to the rat HSD11B2 3'-untranslated region. To gain insight into potentially relevant miRNAs in vivo, we investigated 2 models with differential 11β-HSD2 activity linked with salt-sensitive hypertension. (1) Comparing Sprague-Dawley with low and Wistar rats with high 11β-HSD2 activity revealed rno-miR-20a-5p, rno-miR-19b-3p, and rno-miR-190a-5p to be differentially expressed. (2) Uninephrectomy lowered 11β-HSD2 activity in the residual kidney with differentially expressed rno-miR-19b-3p, rno-miR-29b-3p, and rno-miR-26-5p. In conclusion, miRNA-dependent mechanisms seem to modulate 11β-HSD2 dosage in health and disease states.

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In a weighted spatial network, as specified by an exchange matrix, the variances of the spatial values are inversely proportional to the size of the regions. Spatial values are no more exchangeable under independence, thus weakening the rationale for ordinary permutation and bootstrap tests of spatial autocorrelation. We propose an alternative permutation test for spatial autocorrelation, based upon exchangeable spatial modes, constructed as linear orthogonal combinations of spatial values. The coefficients obtain as eigenvectors of the standardised exchange matrix appearing in spectral clustering, and generalise to the weighted case the concept of spatial filtering for connectivity matrices. Also, two proposals aimed at transforming an acessibility matrix into a exchange matrix with with a priori fixed margins are presented. Two examples (inter-regional migratory flows and binary adjacency networks) illustrate the formalism, rooted in the theory of spectral decomposition for reversible Markov chains.

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Molecular shape has long been known to be an important property for the process of molecular recognition. Previous studies postulated the existence of a drug-like shape space that could be used to artificially bias the composition of screening libraries, with the aim to increase the chance of success in Hit Identification. In this work, it was analysed to which extend this assumption holds true. Normalized Principal Moments of Inertia Ratios (NPRs) have been used to describe the molecular shape of small molecules. It was investigated, whether active molecules of diverse targets are located in preferred subspaces of the NPR shape space. Results illustrated a significantly stronger clustering than could be expected by chance, with parts of the space unlikely to be occupied by active compounds. Furthermore, a strong enrichment of elongated, rather flat shapes could be observed, while globular compounds were highly underrepresented. This was confirmed for a wide range of small molecule datasets from different origins. Active compounds exhibited a high overlap in their shape distributions across different targets, making a purely shape­ based discrimination very difficult. An additional perspective was provided by comparing the shapes of protein binding pockets with those of their respective ligands. Although more globular than their ligands, it was observed that binding sites shapes exhibited a similarly skewed distribution in shape space: spherical shapes were highly underrepresented. This was different for unoccupied binding pockets of smaller size. These were on the contrary identified to possess a more globular shape. The relation between shape complementarity and exhibited bioactivity was analysed; a moderate correlation between bioactivity and parameters including pocket coverage, distance in shape space, and others could be identified, which reflects the importance of shape complementarity. However, this also suggests that other aspects are of relevance for molecular recognition. A subsequent analysis assessed if and how shape and volume information retrieved from pocket or respective reference ligands could be used as a pre-filter in a virtual screening approach. ln Lead Optimization compounds need to get optimized with respect to a variety of pararneters. Here, the availability of past success stories is very valuable, as they can guide medicinal chemists during their analogue synthesis plans. However, although of tremendous interest for the public domain, so far only large corporations had the ability to mine historical knowledge in their proprietary databases. With the aim to provide such information, the SwissBioisostere database was developed and released during this thesis. This database contains information on 21,293,355 performed substructural exchanges, corresponding to 5,586,462 unique replacements that have been measured in 35,039 assays against 1,948 molecular targets representing 30 target classes, and on their impact on bioactivity . A user-friendly interface was developed that provides facile access to these data and is accessible at http//www.swissbioisostere.ch. The ChEMBL database was used as primary data source of bioactivity information. Matched molecular pairs have been identified in the extracted and cleaned data. Success-based scores were developed and integrated into the database to allow re-ranking of proposed replacements by their past outcomes. It was analysed to which degree these scores correlate with chemical similarity of the underlying fragments. An unexpectedly weak relationship was detected and further investigated. Use cases of this database were envisioned, and functionalities implemented accordingly: replacement outcomes are aggregatable at the assay level, and it was shawn that an aggregation at the target or target class level could also be performed, but should be accompanied by a careful case-by-case assessment. It was furthermore observed that replacement success depends on the activity of the starting compound A within a matched molecular pair A-B. With increasing potency the probability to lose bioactivity through any substructural exchange was significantly higher than in low affine binders. A potential existence of a publication bias could be refuted. Furthermore, often performed medicinal chemistry strategies for structure-activity-relationship exploration were analysed using the acquired data. Finally, data originating from pharmaceutical companies were compared with those reported in the literature. It could be seen that industrial medicinal chemistry can access replacement information not available in the public domain. In contrast, a large amount of often-performed replacements within companies could also be identified in literature data. Preferences for particular replacements differed between these two sources. The value of combining different endpoints in an evaluation of molecular replacements was investigated. The performed studies highlighted furthermore that there seem to exist no universal substructural replacement that always retains bioactivity irrespective of the biological environment. A generalization of bioisosteric replacements seems therefore not possible. - La forme tridimensionnelle des molécules a depuis longtemps été reconnue comme une propriété importante pour le processus de reconnaissance moléculaire. Des études antérieures ont postulé que les médicaments occupent préférentiellement un sous-ensemble de l'espace des formes des molécules. Ce sous-ensemble pourrait être utilisé pour biaiser la composition de chimiothèques à cribler, dans le but d'augmenter les chances d'identifier des Hits. L'analyse et la validation de cette assertion fait l'objet de cette première partie. Les Ratios de Moments Principaux d'Inertie Normalisés (RPN) ont été utilisés pour décrire la forme tridimensionnelle de petites molécules de type médicament. Il a été étudié si les molécules actives sur des cibles différentes se co-localisaient dans des sous-espaces privilégiés de l'espace des formes. Les résultats montrent des regroupements de molécules incompatibles avec une répartition aléatoire, avec certaines parties de l'espace peu susceptibles d'être occupées par des composés actifs. Par ailleurs, un fort enrichissement en formes allongées et plutôt plates a pu être observé, tandis que les composés globulaires étaient fortement sous-représentés. Cela a été confirmé pour un large ensemble de compilations de molécules d'origines différentes. Les distributions de forme des molécules actives sur des cibles différentes se recoupent largement, rendant une discrimination fondée uniquement sur la forme très difficile. Une perspective supplémentaire a été ajoutée par la comparaison des formes des ligands avec celles de leurs sites de liaison (poches) dans leurs protéines respectives. Bien que plus globulaires que leurs ligands, il a été observé que les formes des poches présentent une distribution dans l'espace des formes avec le même type d'asymétrie que celle observée pour les ligands: les formes sphériques sont fortement sous­ représentées. Un résultat différent a été obtenu pour les poches de plus petite taille et cristallisées sans ligand: elles possédaient une forme plus globulaire. La relation entre complémentarité de forme et bioactivité a été également analysée; une corrélation modérée entre bioactivité et des paramètres tels que remplissage de poche, distance dans l'espace des formes, ainsi que d'autres, a pu être identifiée. Ceci reflète l'importance de la complémentarité des formes, mais aussi l'implication d'autres facteurs. Une analyse ultérieure a évalué si et comment la forme et le volume d'une poche ou de ses ligands de référence pouvaient être utilisés comme un pré-filtre dans une approche de criblage virtuel. Durant l'optimisation d'un Lead, de nombreux paramètres doivent être optimisés simultanément. Dans ce contexte, la disponibilité d'exemples d'optimisations réussies est précieuse, car ils peuvent orienter les chimistes médicinaux dans leurs plans de synthèse par analogie. Cependant, bien que d'un extrême intérêt pour les chercheurs dans le domaine public, seules les grandes sociétés pharmaceutiques avaient jusqu'à présent la capacité d'exploiter de telles connaissances au sein de leurs bases de données internes. Dans le but de remédier à cette limitation, la base de données SwissBioisostere a été élaborée et publiée dans le domaine public au cours de cette thèse. Cette base de données contient des informations sur 21 293 355 échanges sous-structuraux observés, correspondant à 5 586 462 remplacements uniques mesurés dans 35 039 tests contre 1948 cibles représentant 30 familles, ainsi que sur leur impact sur la bioactivité. Une interface a été développée pour permettre un accès facile à ces données, accessible à http:/ /www.swissbioisostere.ch. La base de données ChEMBL a été utilisée comme source de données de bioactivité. Une version modifiée de l'algorithme de Hussain et Rea a été implémentée pour identifier les Matched Molecular Pairs (MMP) dans les données préparées au préalable. Des scores de succès ont été développés et intégrés dans la base de données pour permettre un reclassement des remplacements proposés selon leurs résultats précédemment observés. La corrélation entre ces scores et la similarité chimique des fragments correspondants a été étudiée. Une corrélation plus faible qu'attendue a été détectée et analysée. Différents cas d'utilisation de cette base de données ont été envisagés, et les fonctionnalités correspondantes implémentées: l'agrégation des résultats de remplacement est effectuée au niveau de chaque test, et il a été montré qu'elle pourrait également être effectuée au niveau de la cible ou de la classe de cible, sous réserve d'une analyse au cas par cas. Il a en outre été constaté que le succès d'un remplacement dépend de l'activité du composé A au sein d'une paire A-B. Il a été montré que la probabilité de perdre la bioactivité à la suite d'un remplacement moléculaire quelconque est plus importante au sein des molécules les plus actives que chez les molécules de plus faible activité. L'existence potentielle d'un biais lié au processus de publication par articles a pu être réfutée. En outre, les stratégies fréquentes de chimie médicinale pour l'exploration des relations structure-activité ont été analysées à l'aide des données acquises. Enfin, les données provenant des compagnies pharmaceutiques ont été comparées à celles reportées dans la littérature. Il a pu être constaté que les chimistes médicinaux dans l'industrie peuvent accéder à des remplacements qui ne sont pas disponibles dans le domaine public. Par contre, un grand nombre de remplacements fréquemment observés dans les données de l'industrie ont également pu être identifiés dans les données de la littérature. Les préférences pour certains remplacements particuliers diffèrent entre ces deux sources. L'intérêt d'évaluer les remplacements moléculaires simultanément selon plusieurs paramètres (bioactivité et stabilité métabolique par ex.) a aussi été étudié. Les études réalisées ont souligné qu'il semble n'exister aucun remplacement sous-structural universel qui conserve toujours la bioactivité quel que soit le contexte biologique. Une généralisation des remplacements bioisostériques ne semble donc pas possible.