Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"drug activity"”.
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Implementation of Multiple-Instance Learning in Drug Activity Prediction
In the context of drug discovery and development, much effort has been exerted to determine which conformers of a given molecule are responsible for the observed biological activity. In this work we aimed to predict bioactive conformers using a variant of supervised learning, named …
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Estimating antimalarial drug activity in vivo: an interdisciplinary approach combing novel experimental data with mathematical modelling
… malaria have stalled. There are currently 46 drugs in development by the Medicines for Malaria Venture at different phases of the drug development pipeline. During development, antimalarial drugs are tested in pre-clinical animal models and early-stage clinical trials to determine in vivo drug …
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Identifying cross-species regimens for the treatment of rapid-growing and slow-growing nontuberculous Mycobacterium pulmonary infections
… (TB) and NTM species, TB standard-of-care (SoC) drugs were evaluated for repurposing to develop regimens with activity across diverse NTM pathogens. Comparative genomics using the Distilled Refined Annotation of Metabolism (DRAM) tool demonstrated that bioenergetic pathways, including oxidative …
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Database development and machine learning prediction of pharmaceutical agents
Drug discovery process is typically a lengthy and costly process. Target, efficacy and safety are the three major issues. Cheminformatics and bioinformatics tools are explored to increase the efficiency and reduce the cost and time of pharmaceutical research and development. This work represents …
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Random Forests Based Rule Learning And Feature Elimination
… this approach, we have applied it to several drug activity prediction data sets, microarray data sets, a seacoast chemical sensors data set, a Stockori flowering time data set, and three data sets from the UCI repository. This approach performs well compared to state-of-the-art prediction …
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Synaptic Multimodal Imaging and Molecular Network Inference
… – the molecular computation that integrates activity history, chemical environment, and the genetic state of its pre- and post-synaptic neurons to modulate neuron-neuron communication through synaptic plasticity. This computation is performed by the highly compartmentalized, tightly …
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Discovery of Novel Glycogen Synthase Kinase-3beta Inhibitors: Molecular Modeling, Virtual Screening, and Biological Evaluation
… neurodegenerative disease. Recent advances in drug discovery targeting GSK-3 involved extensive computational modeling techniques. Both ligand/structure-based approaches have been well explored to design ATP-competitive inhibitors. Molecular modeling plus dynamics simulations can provide …
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The Use of Spectral Imaging to Reveal Inorganics and Organics Identity in The Biological Samples
… the inorganics/organics molecules to understand drug activity, cellular toxicity, and distribution. Using the microscopy technique, we found for the first time that spectral imaging can provide a high temporal and spatial resolution of gold (Au) and silver (Ag) nanoparticles (NPs) in fixed, …
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Development of a HPLC method for the determination of methotrexate (MTX) and MTX-polyglutamates of red blood cells: A dissertation submitted in partial fulfilment of the requirements for the Degree of Bachelor of Science with Honours at Lincoln University
… arthritis (RA). Patient response to, the drug and development of side effects are poorly understood. There is large a variation in clinical response between patients and this influences the dose requirement. Therefore, there is a need for therapeutic drug monitoring to ascertain clinical …
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Pharmacological Intervention Reduces Hippocampal Hyperactivity in a Mouse Model of Psychosis
… animals putatively parallel to hippocampal hyperactivity in human schizophrenia brain. A reverse-translational mouse model of psychosis has been developed based on subchronic chemogenetic inhibition of dentate gyrus (DG) during adolescence and it could become a candidate for testing antipsychotic …
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Examining the association between discrimination and risky social networks among illicit drug users
Discrimination is a predictor of increased drug use initiation. Thus, discrimination may systematically marginalize stigmatized individuals into risky social networks (e.g., networks with high burden of disease) that facilitate HIV transmission. Therefore, even when individual risk behaviors are …
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Polyurethane nanocomposites as potential drug delivery systems
… remarkable potential in the field of controlled drug delivery. There are a range of factors proposed to perturb the release mechanisms in polymer NCs, but little focus has been directed towards the understanding of interactions between the drug and NC which can also affect the drug release …
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Selective therapy with minor groove binders
… were effective in vivo, non-toxic and showed activity and selectivity against Gram positive bacteria. Whilst such selectivity is an advantage, an extension of activity of such agents towards Gram negative organisms and eventually targeting cancer cells would be valuable. Since the biological …
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Optimisation of analytical methods for monitoring monoclonal antibody therapy in Inflammatory Bowel Disease
… Infliximab and adalimumab. However, low drug levels and immunogenicity (development of anti-drug antibodies) are associated with treatment failure. Therapeutic drug monitoring, using drug and anti-drug antibody measurements improves treatment outcomes. This thesis aims to optimise and …