Enhancing the fight against malaria : from genome to structure and activity of a G-protein coupled receptor from the mosquito, Anopheles Gambiae

Includes abstract.Includes bibliographical references (leaves 183-184).G-proton coupled receptors (GPCRs) are excellent drug targets that occupy a central position in the physiology of insects and are involved in transmission of signal from the extracellular to the intracellular side of the cell. Adipokinetic hormone receptors (AKHRs) are GPCRs that mediate physiological functions of the neurohormones, adipokinetic hormones (AKHs) that regulate mobilisation of energy reserves during mosquito flight. Ligand binding to GPCRs depends on the three dimensional (3D) structures of the receptors but to date no crystal structures of insect GPCRs are available. This work focused on building molecular models of AKHR from the genome of the malaria mosquito, identifying its binding site and studying the conformational and structural changes during molecular dynamics of the active and inactive receptor

Computational de-orphaning of Mycobacterium tuberculosis targets

Tuberculosis (TB) continues to be a major health hazard worldwide due to the resurgence of drug discovery strains of Mycobacterium tuberculosis (Mtb) and co-infection. For decades drug discovery has concentrated on identifying ligands for ~10 Mtb targets, hence most of the identified essential proteins are not utilised in TB chemotherapy. Here computational techniques were used to identify ligands for the orphan Mtb proteins. These range from ligand-based and structure-based virtual screening modelling the proteome of the bacterium. Identification of ligands for most of the Mtb Proteins will provide novel TB drugs and targets and hence address drug resistance, toxicity and the duration of TB treatment

Computational Deorphaning of <em>Mycobacterium tuberculosis</em> Targets

Tuberculosis (TB) continues to be a major health hazard worldwide due to the resurgence of drug discovery strains of Mycobacterium tuberculosis (Mtb) and co-infection. For decades drug discovery has concentrated on identifying ligands for ~10 Mtb targets, hence most of the identified essential proteins are not utilised in TB chemotherapy. Here computational techniques were used to identify ligands for the orphan Mtb proteins. These range from ligand-based and structure-based virtual screening modelling the proteome of the bacterium. Identification of ligands for most of the Mtb proteins will provide novel TB drugs and targets and hence address drug resistance, toxicity and the duration of TB treatment