Interest rates mapping

The present study deals with the analysis and mapping of Swiss franc interest rates. Interest rates depend on time and maturity, defining term structure of the interest rate curves (IRC). In the present study IRC are considered in a two-dimensional feature space - time and maturity. Exploratory data analysis includes a variety of tools widely used in econophysics and geostatistics. Geostatistical models and machine learning algorithms (multilayer perceptron and Support Vector Machines) were applied to produce interest rate maps. IR maps can be used for the visualisation and pattern perception purposes, to develop and to explore economical hypotheses, to produce dynamic asset-liability simulations and for financial risk assessments. The feasibility of an application of interest rates mapping approach for the IRC forecasting is considered as well. (C) 2008 Elsevier B.V. All rights reserved.

Searching for Novel Cellular Targets of the Hepatitis C Virus NS3-4A Protease

Background: The hepatitis C virus (HCV) NS3-4A protease isnot only an essential component of the viral replication complexand a prime target for antiviral intervention but also a key playerin the persistence and pathogenesis of HCV. It cleaves andthereby inactivates two crucial adaptor proteins in viral RNAsensing and innate immunity (MAVS and TRIF) as well as aphosphatase involved in growth factor signaling (TC-PTP). Theaim of this ongoing study is to identify novel cellular targets ofthe NS3-4A protease.Methods: Cell lines inducibly expressing the NS3-4A proteasewere established using a tetracycline-regulated geneexpression system. Cells were analyzed in basal as well asinterferon-α-stimulated states. Two-dimensional difference gelelectrophoresis (2D-DIGE) and stable isotopic labeling usingamino acids in cell culture (SILAC) proteomics analysescoupled with mass spectrometry were employed to search forcellular substrates of NS3-4A.Results: A number of candidate cellular targets have beenidentified by these proteomics approaches. These are currentlybeing validated by different experimental techniques. In parallel,we are in the process of further defining the determinants forsubstrate specificity of the NS3-4A protease.Conclusions: The identification of novel cellular targets of theHCV NS3-4A protase should yield new insights into thepathogenesis of hepatitis C and may reveal novel targets forantiviral intervention.

Identification of in vitro phosphorylation sites in the growth cone protein SCG10. Effect Of phosphorylation site mutants on microtubule-destabilizing activity.

SCG10 is a neuron-specific, membrane-associated protein that is highly concentrated in growth cones of developing neurons. Previous studies have suggested that it is a regulator of microtubule dynamics and that it may influence microtubule polymerization in growth cones. Here, we demonstrate that in vivo, SCG10 exists in both phosphorylated and unphosphorylated forms. By two-dimensional gel electrophoresis, two phosphoisoforms were detected in neonatal rat brain. Using in vitro phosphorylated recombinant protein, four phosphorylation sites were identified in the SCG10 sequence. Ser-50 and Ser-97 were the target sites for protein kinase A, Ser-62 and Ser-73 for mitogen-activated protein kinase and Ser-73 for cyclin-dependent kinase. We also show that overexpression of SCG10 induces a disruption of the microtubule network in COS-7 cells. By expressing different phosphorylation site mutants, we have dissected the roles of the individual phosphorylation sites in regulating its microtubule-destabilizing activity. We show that nonphosphorylatable mutants have increased activity, whereas mutants in which phosphorylation is mimicked by serine-to-aspartate substitutions have decreased activity. These data suggest that the microtubule-destabilizing activity of SCG10 is regulated by phosphorylation, and that SCG10 may link signal transduction of growth or guidance cues involving serine/threonine protein kinases to alterations of microtubule dynamics in the growth cone.