Inhibition of viral group-1 and group-2 neuraminidases by oseltamivir: A comparative structural analysis by the ScrewFit algorithm

The viral surface glycoprotein neuraminidase (NA) allows the influenza virus penetration and the egress of virions. NAs are classified as A, B, and C. Type-A NAs from influenza virus are subdivided into two phylogenetically distinct families, group-1 and group-2. NA inhibition by oseltamivir represents a therapeutic approach against the avian influenza virus H5N1. Here, structural bases for oseltamivir recognition by group-1 NA1, NA8 and group-2 NA9 are highlighted by the ScrewFit algorithm for quantitative structure comparison. Oseltamivir binding to NA1 and NA8 affects the geometry of Glu119 and of regions Arg130-Ser160, Val240-Gly260, and Asp330-Glu382, leading to multiple NA conformations. Additionally, although NA1 and NA9 share almost the same oseltamivir-bound final conformation, they show some relevant differences as suggested by the ScrewFit algorithm. These results indicate that the design of new NA inhibitors should take into account these family-specific effects induced on the whole structure of NAs

Inhibition of viral group-1 and group-2 neuraminidases by oseltamivir: A comparative structural analysis by the ScrewFit algorithm

The viral surface glycoprotein neuraminidase (NA) allows the influenza virus penetration and the egress of virions. NAs are classified as A. B, and C. Type-A NAs from influenza virus are subdivided into two phylogenetically distinct families, group-1 and group-2. NA inhibition by oseltamivir represents a therapeutic approach against the avian influenza virus H5N1. Here, structural bases for oseltamivir recognition by group-1 NA1, NA8 and group-2 NA9 are highlighted by the ScrewFit algorithm for quantitative structure comparison. Oseltamivir binding to NA1 and NA8 affects the geometry of Glu119 and of regions Arg130-Ser160, Val240-Gly260, and Asp330-Glu382, leading to multiple NA conformations. Additionally, although NA1 and NA9 share almost the same oseltamivir-bound final conformation, they show some relevant differences as suggested by the ScrewFit algorithm. These results indicate that the design of new NA inhibitors should take into account these family-specific effects induced on the whole structure of NAs. (C) 2009 Elsevier B.V. All rights reserved

Transformation of white poplar (Populus alba L.) with a novel Arabidopsis thaliana cysteine proteinase inhibitor gene and analysis of insect pest resistance

Transgenic white poplar (Populus alba L.) plants expressing a novel Arabidopsis thaliana cysteine proteinase inhibitor (Atcys) gene have been produced using Agrobacterium tumefaciens-mediated gene transfer. Internodal stem segments of cv. Villafranca were co-cultivated with the EHA105 pBI-Atcys A. tumefaciens strain. Sixteen putative transgenic plant lines were regenerated from different calli with a transformation efficiency of 11%. The integration and expression of the cysteine proteinase inhibitor (Atcys) gene into the plant genome was confirmed by Southern and northern blot analyses. Papain inhibitory activity was detected in poplar transgenic tissues by means of a specific in vitro assay. Such activity was sufficient to inhibit most of the digestive proteinase activity of chrysomelid beetle (Chrysomela populi L.) and confer resistance to C. populi larvae on selected transgenic plants. A close correspondence between the inhibition of papain and resistance to poplar leaf beetle was observed in all tested transgenic lines. Our results indicate that Atcys could be succesfully employed in breeding programmes aimed at the selection of new poplar genotypes resistant to major insect pests

Multiple scale dynamics in proteins probed at multiple time scales through fluctuations of NMR chemical shifts

International audience: Fluctuations of NMR resonance frequency shifts and their relation with protein exchanging conformations are usually analysed in terms of simple two-site jump processes. However, this description is unable to account for the presence of multiple time scale dynamics. In this work, we present an alternative model for the interpretation of the stochastic processes underlying these fluctuations of resonance frequencies. Time correlation functions of (15)N amide chemical shifts computed from molecular dynamics simulations (MD) were analysed in terms of a transiently fractional diffusion process. The analysis of MD trajectories spanning dramatically different time scales (~200 ns and 1ms [Shaw, D. E. et al. Science, 2010, 330, 341-346]) allowed us to show that our model could capture the multiple scale structure of chemical shift fluctuations. Moreover, the predicted exchange contribution Rex to the NMR transverse relaxation rate is in qualitative agreement with experimental results. These observations suggest that the proposed fractional diffusion model may provide significative improvement to the analysis of NMR dispersion experiments