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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 ...
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 ...