Rachel Hunt

Learn More
Regulator of G protein signaling (RGS) proteins function as GTPase accelerating proteins (GAP) for Galpha subunits, attenuating G-protein-coupled receptor signal transduction. The present study tested the ability of members of different subfamilies of RGS proteins to modulate both G-protein-dependent and -independent signaling in mammalian cells. RGS4,(More)
BACKGROUND Genes associated with energy metabolism are decreased in schizophrenia brain and human and rodent diabetic skeletal muscle. These and other similarities between diabetes and schizophrenia suggest that an insulin signaling deficit may underlie schizophrenia. We determined with human SH-SY5Y neuroblastoma and astrocyte cell lines whether insulin or(More)
Protein kinase C interacting protein (PKCI-1) was identified among the potential interactors from a yeast two hybrid screen of human brain library using N terminal of RGSZ1 as a bait. The cysteine string region, unique to the RZ subfamily, contributes to the observed interaction because PKCI-1 interacted with N-terminus of RGS17 and GAIP, but not with that(More)
The N-terminus of regulator of G protein signaling 7 (RGS7) contains a dishevelled/egl-10/pleckstrin (DEP) domain of unknown function. To gain insight into its function, we used yeast two-hybrid analysis to screen a human whole brain cDNA library in order to identify proteins that interact specifically with the N-terminus of human RGS7 (amino acid residues(More)
Job Shop Scheduling (JSS) is a complex real-world problem aiming to optimise a measure of delivery speed or customer satisfaction by determining a schedule for processing jobs on machines. A major disadvantage of using a dispatching rule (DR) approach to solving JSS problems is their lack of a global perspective of the current and potential future state of(More)
Heuristic dispatching rules are one of the most popular and widely used methods of scheduling in dynamic job shop environments. The manual development of such dispatching rules is time consuming and requires substantial knowledge of the domain. There have been numerous works into using genetic programming (GP) as a framework for the automated generation of(More)