Anti-HGV Monoclonal antibody, Clone N99081027

With the aim of better understanding the fusion process mediated by the envelope proteins of the hepatitis G virus (HGV/GBVC), we have investigated the interaction with model membranes of two overlapping peptides [(267-284) and (279-298)] belonging to the E2 structural protein. The peptides were compared for their ability to perturb lipid bilayers by means of different techniques such as differential scanning calorimetry and fluorescence spectroscopy. Furthermore, the conformational behaviour of the peptides ill different membrane environments was studied by Fourier-transform infrared spectroscopy and circular dichroism. The results showed that only the E2(279-298) peptide sequence was able to bind with high affinity to negatively charged membranes, to permeabilize efficiently negative lipid bilayers, to induce haemolysis, and to promote inter-vesicle fusion. This fusogenic activity could be related to the induced peptide conformation upon interaction with the target membrane. (c) 2005 Elsevier Inc. All rights reserved.

The control of the hypersonic glide vehicle (HGV) during reentry is confronted with the unknown dynamical disturbance and parameter uncertainty problem. In this paper, we use the HGV mathematical model with an assumption that the earth is spherical first, and then a new self-organizing functional link network (SOFLN) is presented to approximate the dynamical disturbances/uncertainties. Finally, the SOFLN-based controller is designed to offset the effect of disturbances/uncertainties. The Lyapunov function is utilized to design the growing strategy of the SOFLN, and the pruning strategy is put forward according to output features of the FLN nodes. The online training algorithm of SOFLN weights is derived from Lyapunov theory. The simulation results show that the SOFLN-based controller can find the appropriate network topology to approximate the disturbances/uncertainties during reentry and compensate for their effects to achieve good interference rejection capability and satisfactory control performance.