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Computational strategies to identify, prioritize and design potential antimalarial agents from natural products
(University of the Western Cape, 2015)
Introduction: There is an exigent need to develop novel antimalarial drugs in view of the mounting disease burden and emergent resistance to the presently used drugs against the malarial parasites. A large amount of natural ...
miRNAMatcher: High throughput miRNA discovery using regular expressions obtained via a genetic algorithm
(University of the Western Cape, 2008)
In summary there currently exist techniques to discover miRNA however both require many calculations to be performed during the identification limiting their use at a genomic level. Machine learning techniques are currently ...
Concept Based Knowledge Discovery from Biomedical Literature
(University of the Western Cape, 2009)
This thesis describes and introduces novel methods for knowledge discovery and presents a software system that is able to extract information from biomedical literature, review interesting connections between various ...
Prediction of antimicrobial peptides using hyperparameter optimized support vector machines
(University of the Western Cape, 2011)
Antimicrobial peptides (AMPs) play a key role in the innate immune response. They can be ubiquitously found in a wide range of eukaryotes including mammals, amphibians, insects, plants, and protozoa. In lower organisms, ...
Development of a simple artificial intelligence method to accurately subtype breast cancers based on gene expression barcodes
(University of the Western Cape, 2018)
INTRODUCTION:
Breast cancer is a highly heterogeneous disease. The complexity of achieving an accurate diagnosis and an effective treatment regimen lies within this heterogeneity. Subtypes of the disease are not simply ...
Computational prediction of host-pathogen protein-protein interactions
(University of the Western Cape, 2017)
Supervised machine learning approaches have been applied successfully to the prediction of protein-protein interactions (PPIs) within a single organism, i.e., intra-species predictions. However, because of the absence of ...
A deep learning approach to predicting potential virus species crossover using convolutional neural networks and viral protein sequence patterns
(University of the Western Cape, 2022)
Medical science has made substantial progress toward diagnosing, understanding the pathogenesis, and treating various causative agents of infectious disease; however, novel microbial pathogens continue to emerge, and ...
Concept Based Knowledge Discovery From Biomedical Literature
(University of the Western Cape, 2009)
Advancement in biomedical research and continuous growth of scientific literature available in electronic form, calls for innovative methods and tools for information management, knowledge discovery, and data integration. ...