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 20 of 63 for “"Drug repurposing"”.
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Drug Repurposing Using Gene Expression Data Mining
<p>The conventional drug discovery process that employs the "one disease, one target, one drug'' paradigm is expensive, time-consuming, and has a high rate of failure for multi-genic complex diseases. An alternative approach to drug discovery is to repurpose an existing drug that has been used to …
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Drug Repurposing for COVID-19 Using Molecular Docking Tools
… mortal, finding a treatment is time critical. Drug repurposing is probably the quickest and safest approach in our arsenal. However, testing every drug in a brute force manner would require a lot of resources, and a more sophisticated method is required to filter possible candidates. Since …
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Broad-spectrum antivirals against coronavirus using natural products and drug repurposing strategies
… product-based discovery and host-targeted drug repurposing. Chapter three investigates natural product-based antiviral discovery, with a focus on Nigella sativa (black seed) oils. While direct contact assays revealed limited antiviral efficacy, vapour-phase diffusion of the oils …
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Rational Identification of Neuropilin-1 Inhibitors: From Deep-Learning to Drug Repurposing
… deep-learning-guided peptide identification and repurposing-oriented screening with validation and disease-context mapping. With this ‘proof-of-concept’ study, the work provides a basis for subsequent optimisation and for translation of NRP1-targeted inhibitors toward therapeutic development.
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From structural dynamics to drug repurposing: computational approaches in the context of precision medicine
… this transition depends on the avail- ability of drugs acting on a wide variety of targets with high specificity. Within this context, G-protein coupled receptors (GPCRs) have emerged as key yet under- explored targets, with Somatostatin Receptors (SSTRs) and the Gastrin-Releasing Peptide Receptor …
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Predicting drug - target interaction network using deep learning models for drug repurposing through genetic information
… that biological and experimental methods for drug discovery are time-consuming and expensive. New efforts have been explored to perform drug repurposing through predicting drug-target interaction networks using biological and chemical properties of drugs and targets. However, due to the …
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Drug repurposing against the store-operated calcium entry (SOCE) pathway and subsequent exploration of SOCE in oligodendrocyte progenitor cells
… conditions. In this study, the FDA-approved drug library was screened for agents that share significant similarity in 3D shape and surface electrostatics with few, hitherto best-known inhibitors of SOCE. This has led to the identification of five drugs that showed dose- dependent inhibition …
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Drug repurposing : design, emulation and analysis of synthetic in-silico clinical trials using electronic health records and modern data analytics
… has been limited. Even after huge investments in drug development, the need for therapeutic advances remains high. As effective anti-cancer drugs are in high demands, drug repurposing, using existing drugs for other diseases has sparked a growing interest. Drug repurposing presents a striking …
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Siderophore-Based Drug Repurposing of Platinum Anticancer Agents as Targeted Antibiotics and Investigation of Pt-Induced DNA Damage in Gram-Negative Bacteria
… acquisition pathways for selective and efficient drug delivery as a “Trojan-horse” strategy. This thesis explores the application of a SAC strategy based on enterobactin (Ent), a native triscatecholate siderophore, to repurpose platinum (Pt) anticancer agents as targeted antibiotics against …
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Identifikace nových indikací léčiv pomocí analýzy transkriptomu jednotlivých buněk
De novo drug development represents an exceedingly complex, time-consuming, and expensive process. Drug repurposing, utilizing large-scale transcriptomic datasets, has emerged as a promising alternative, accelerating the entire drug development pipeline. The recent introduction of single-cell RNA …
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Computational Molecular Docking Studies of Small Molecule Inhibitors With the SARS-CoV-2 Spike Protein Variants: In-Silico Drug Discovery Using Virtual Screening and Drug Repurposing Approaches
… to develop several vaccines and treatments. Drug repurposing as a strategy for drug development has produced many of the current therapeutic options. The greatest challenge to designing a therapeutic inhibitor of SARS-CoV-2 is the shifting mutational landscape of the virus as it evolves. In …
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Generating Predictive Gene Expression Signatures for Alzheimer's Disease Using Postmortem Brain Tissue
… influence on AD pathology was assessed and drug repurposing candidates were identified using the Connectivity Map (CMAP).</p> <p><strong>Results: </strong>As a result of this analysis, predictive gene expression signatures from six AD-affected brain regions were developed with the ability to …
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Exploring the network’s world: From omics-driven machine learning workflow for drug target identification to quantification of signaling model diversity.
The drug discovery process is challenging, time-consuming, and costly, with drug target identification being an essential step in developing effective therapies. Drug repurposing offers a strategy for identifying new uses for existing drugs, aiming to simplify the process. Machine learning models …
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Application of foundation models for molecular representation in cancer drug discovery and precision oncology
Drug discovery is a resource-intensive and time-consuming process, often requiring decades of effort and substantial financial investment, with a high risk of failure. Despite advances in high-throughput screening technologies, the size of chemical space presents a significant challenge: it is not …
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Causal Inference with Survival Outcomes via Orthogonal Statistical Learning
… the effects of two first-line anti-diabetic drugs on cancer outcomes. Second, a wide range of machine learning methods (or ”learners”) for estimating heterogeneous treatment effects were not applicable to estimating effects on survival outcomes, particularly in the presence of competing …
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In vitro and in vivo investigation of the anticancer activity and mechanism of disulfiram in malignant mesothelioma
… options. Most often, the patients develop drug resistance due to the hypoxic tumour microenvironment (TME) that promotes the survival of chemo-resistant cancer stem cells (CSCs), leading to tumour infiltration and relapse. Drug repurposing has proven beneficial for rare orphan diseases like …
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Strategies to Identify Therapeutic Opportunities in the Treatment of Addictive Disorders
… neuronal modulation, behavioral-guided therapy, drug repurposing, and combined therapeutic approaches – offer great possibilities in the development of new therapeutic approaches in the treatment of addictive disorders.
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Repurposing Antibacterial Compounds and Natural Products to Combat Vancomycin-Resistant Enterococci
… this challenge: natural product discovery and drug repurposing. The first study investigated two drug candidates, CRS3123 and ridinilazole, originally designed to target Clostridioides difficile, for their activity against VRE. Both compounds showed exceptionally low minimum inhibitory …
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