<p>Megasatellites are polymorphic tandem repetitive sequences with repeat-units longer than or equal to 1000 base pairs. The novel algorithm Megasatfinder predicts megasatellites in the human genome. A structured method of analysing the algorithm is developed and conducted. The analysis method consists of six test scenarios. Scripts are created, which execute the algorithm using various parameter settings. Three nucleotide sequences are applied; a real sequence extracted from the human genome and two random sequences, generated using different base probabilities. Usability and accuracy are investigated, providing the user with confidence in the algorithm and its output. The results indicate that Megasatfinder is an excellent tool for the detection of megasatellites and that the generated results are highly reliable. The results of the complete analysis suggest alterations in the default parameter settings, presented as user guidelines, and state that artificially generated sequences are not applicable as models for real DNA in computational simulations.</p>

Lors de la conception de médicaments, le criblage in silico est de plus en plus utilisé et lesméthodes disponibles nécessitent d'être évaluées. L'évaluation de 8 méthodes a mis enévidence l'efficacité des méthodes de criblage in silico et des problèmes de construction de labanque d'évaluation de référence (DUD), la conformation choisie pour les sites de liaisonn'étant pas toujours adaptée à tous les actifs. La puissance informatique actuelle le permettant,plusieurs structures expérimentales ont été choisies pour tenter de mimer la flexibilité dessites de liaison. Un autre problème a été mis en évidence : les métriques d'évaluation desméthodes souffrent de biais. De nouvelles métriques ont donc été proposées, telles queBEDROC et RIE. Une autre alternative est proposée ici, mesurant la capacité prédictive d'uneméthode en actifs. Enfin, une petite molécule active sur le TNFα in vitro et in vivo sur souris aété identifiée par un protocole de criblage in silico. Ainsi, malgré le besoin d'amélioration desméthodes, le criblage in silico peut être d'un important soutien à l'identification de nouvellesmolécules a visée thérapeutique.

Blastocystis sp., est un straménopile parasite anaérobie fréquemment rencontré dans le tractus gastro-intestinal de l'homme et de divers animaux. Ce microorganisme, parfois responsable de désordres digestifs aigus, pourrait conduire à des troubles fonctionnels intestinaux tels que le syndrome de l'intestin irritable (IBS). Le génome de Blastocystis sp., qui a fait l'objet d'un projet de séquençage en collaboration avec le Génoscope d'Evry, nous a permis de caractériser le plus petit génome de straménopile séquencé à ce jour (18,8 Mpb), avec une capacité codante de 6020 gènes. L'acquisition de nombreux gènes par transferts horizontaux est une caractéristique majeure de ce génome, qui montre d'abondants réarrangements génomiques. Bien qu'évoluant en anaérobiose, Blastocystis sp. possède des organites morphologiquement proches des mitochondries, appelés mitochondrion-like organelles (MLOs). Nous avons montré que ces organites comportaient un génome circulaire de type mitochondrial de 29,27 kpb, mais dépourvu des gènes codant pour les cytochromes. Des analyses in silico nous ont permis de caractériser le protéome des MLOs (365 protéines), conduisant à l'établissement d'un modèle prédictif des voies métaboliques associées à ces organites, avec notamment une chaine respiratoire limitée aux complexes I et II. Nous avons ainsi montré que les MLOs présentent des caractères communs aux mitochondries anaérobies et aux hydrogénosomes (présence d'une PFOR et d'une hydrogénase à fer), suggérant que Blastocystis sp. comporte des mitochondries anaérobies modifiées, qui résulteraient d'une adaptation du parasite à son environnement. Par ailleurs, la prédiction du sécrétome de Blastocystis sp. révèle la présence de facteurs de virulence potentiels, pouvant être impliqués dans l'altération de l'épithélium intestinal et le contournement du système immunitaire de l'hôte.

No description available.

Transcription factor Wrinkled (WRI) 1 is associated with triacylglycerol (TAG) biosynthesis and accumulation in plant tissues. In avocado (Persea americana), a basal angiosperm, four WRI orthologs (1-4) were identified by transcriptome studies and the gene expression of WRI1, 2 and 3 was associated with TAG accumulation in mesocarp tissue. Therefore, it is hypothesized that putative PaWRI1, 2 and 3 but not PaWRI4 are responsible for TAG synthesis in non-seed tissues. To this extent, various in silico analyses were performed to identify similarities and distinct features of putative WRI genes in basal angiosperm relative to maize and Arabidopsis, a monocot and dicot respectively. Predicted structural comparison of these orthologs is expected to reveal the distinct features of avocado WRI paralogs that are associated with the regulation of oil biosynthesis in non-seed tissues.

Malaria is a major public health problem that affects millions of lives globally. The increased burden of malaria requires new interventions that will address the eradication of the disease. Current interventions include vector control by using insecticide-treated bed nets and indoor residual spraying, and antimalarial drugs to control the parasite. Parasite resistance has been reported for the currently used effective antimalarial drugs. To pre-empt the impact of parasite resistance a continued development of new antimalarial drugs that have novel mechanisms of action should be pursued. Antimalarial drug discovery requires that potential antimalarial drugs should have different drug targets to those already targeted, to lower the chances of resistance. Potential antimalarial drugs should preferably provide a single radical cure to prevent reproduction at all life cycle stages. This study tested the effects of in silico designed compounds targeting plasmodial Ca2+- dependent protein kinases (CDPK) 1 & 4, FIKK kinases and bromodomain proteins on the Plasmodium parasite. These enzymes are involved in gene regulation and are important factors during gene transcription. In P. falciparum the gatekeeper kinases contain small hydrophobic pockets near the ATP-binding site. These hydrophobic pockets allow for selective inhibition of these proteins at the ATP-binding site. The compounds were tested in vitro to determine their antiplasmodial activity. These compounds are shown to be potential inhibitors of the intra-erythrocytic P. falciparum parasites as three of the compounds showed selective cytotoxic activity at less than 1 μM against the chloroquine sensitive laboratory strains (3D7 and NF54). Even though the proteins targeted by these compounds have been previously indicated to play a role at specific stages during the parasite’s life cycle, the compounds tested here were not able to target the sexual gametocyte stages of the Plasmodium parasite. Further optimisation of these compounds should be performed to improve activity against both the asexual and sexual stages of the parasites. / Dissertation (MSc)--University of Pretoria, 2017. / Pharmacology / MSc / Unrestricted

La diversité croissante dans l’environnement de composés potentiellement fœtotoxiques est une préoccupation de santé publique. L’objectif de ce travail était de contribuer à l’élaboration de méthodes rapides et efficaces pour en évaluer l’exposition prénatale. La modélisation de la relation quantitative structure à activité (QSAR) est apparue comme une méthode de choix dans l’élaboration d’un modèle prédictif pour le passage placentaire des contaminants. Les ratios fœto-maternels de concentrations sanguines pour 105 contaminants ont été compilés à partir de la littérature, et 214 descripteurs moléculaires ont été générés. Dix modèles prédictifs ont été élaborés à l’aide du logiciel Molecular Operating Environnement (MOE) et des langages de programmation Python et R. Les jeux de données d’entrainement et de test ont été utilisés, respectivement, pour élaborer et valider les modèles. L’outil Applicability Domain v1.0 a été utilisé pour déterminer le domaine d’applicabilité (DA). Les modèles élaborés avec les méthodes de régression des moindres carrés partiels dans MOE et SuperLearner dans R, ont montré les meilleures valeurs de précision et de prédictivité avec des coefficients de détermination internes (R2) de 0,88 et 0,82, des R2 de validation croisée de 0,72 et 0,57, et des R2 externes de 0,73 et 0,74, respectivement. Le recouvrement de toutes les molécules du jeu de test par le domaine d’applicabilité a permis de démontrer la fiabilité et la pertinence des prédictions des modèles. Les résultats obtenus démontrent que les modèles élaborés peuvent aider à quantifier l’exposition fœtale aux composés toxiques de l’environnement à partir des concentrations sanguines de la mère. / The increasing diversity of environmental chemicals in the environment, some of which may be developmental toxicants, is a public health concern. The aim of this work was to contribute to the development of rapid and effective methods to assess prenatal exposure. Quantitative structure-activity relationships (QSAR) modeling has emerged as a promising method in the development of a predictive model for the placental transfer of contaminants. Fetal to maternal plasma or serum concentration ratios for 105 chemicals were extracted from the literature, and 214 molecular descriptors were generated for each of these chemicals. Ten predictive models were built using Molecular Operating Environment (MOE) software, and the Python and R programming languages. Training and test datasets were used, respectively, to build and validate the models. The Applicability Domain Tool v1.0 was used to determine the applicability domain. The models developed with the partial least squares regression method in MOE and SuperLearner in R, showed the best precision and predictivity, with internal coefficients of determination (R2) of 0.88 and 0.82, cross-validated R2s of 0.72 and 0.57, and external R2s of 0.73 and 0.74, respectively. The inclusion of all test chemicals by the domain of applicability demonstrated the reliability and relevance of the model predictions. The results obtained demonstrate that QSAR modeling can help quantify placental transfer of environmental chemicals.

Flavonoid glycosyltransferases (GTs), enzymes integral to plant ecological responses and human pharmacology, necessitate rigorous structural elucidation to decipher their mechanistic function and substrate specificity, particularly given their role in the biotransformation of diverse pharmacological agents and natural products. This investigation delved into a comprehensive exploration of the flavonol 3-O GT from Citrus paradisi (Cp3GT), scrutinizing the impact of a c-terminal c-myc/6x histidine tag on its enzymatic activity and substrate specificity, and successfully achieving its purification to apparent homogeneity. This established a strong foundation for potential future crystallographic and other structure/function analyses. Through the strategic implementation of site-directed mutagenesis, a thrombin cleavage site was incorporated proximal to the tag, followed by cloning in Pichia pastoris, methanol-induced expression, and cobalt-affinity chromatography for initial purification stages. Notably, the recombinant tags did not exhibit a discernible influence on Cp3GT kinetics, substrate preference, pH optima, or metal interactions, maintaining its specificity towards flavonols at the 3-OH position and favoring glucosylation of quercetin and kaempferol. Subsequent purification steps, including MonoQ anion exchange and size-exclusion chromatography, yielded Cp3GT with ≥95% homogeneity. In silico molecular models of Cp3GT and its truncated variants, Cp3GTΔ80 and Cp3GTΔ10, were constructed using D-I-TASSER and COFACTOR to assess binding interactions with quercetin and kaempferol. Results indicated minimal interference of c-myc/6x-his tags with the native Cp3GT structure. This study not only lays a foundation for impending crystallographic studies, aiming to solidify the understanding of Cp3GT's stringent 3-O flavonol specificity, but also accentuates the potential of microbial expression platforms and plant metabolic engineering in producing beneficial compounds. To this end, a thorough review of four pivotal classes of plant secondary metabolites, flavonoids, alkaloids, betalains, and glucosinolates, was conducted. This will open avenues for further research and applications in biotechnological, medical, and agricultural domains.

Artemisinin-based Combination Therapies (ACTs) are currently the frontline treatment against Plasmodium falciparum malaria, but parasite resistance to artemisinin (ART) and its derivatives, core components of ACTs, is spreading in the Mekong countries. In this study, we report the synthesis of several novel artemisinin derivatives and evaluate their in vitro and in silico capacity to counteract Plasmodium falciparum artemisinin resistance. Furthermore, recognizing that the malaria parasite devotes considerable resources to minimizing the oxidative stress that it creates during its rapid consumption of hemoglobin and the release of heme, we sought to explore whether further augmentation of this oxidative toxicity might constitute an important addition to artemisinins. The present report demonstrates, in vitro, that FM-AZ, a newly synthesized artemisinin derivative, has a lower IC50 than artemisinin in P. falciparum and a rapid action in killing the parasites. The docking studies for important parasite protein targets, PfATP6 and PfHDP, complemented the in vitro results, explaining the superior IC50 values of FM-AZ in comparison with ART obtained for the ART-resistant strain. However, cross-resistance between FM-AZ and artemisinins was evidenced in vitro

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