32 research outputs found

    Model peptide studies of Ag+ binding sites from the silver resistance protein SilE

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    Using model peptides, each of the nine MX2H or HXnM (n = 1, 2) motifs of the silver resistance protein SilE has been shown to coordinate to one Ag+ ion by its histidine and methionine residues with Kd in the μM range. This suggests an Ag+ buffering role for SilE in the case of high Ag+ overload

    Alpha-helical folding of SilE models upon Ag(His)(Met) motif formation

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    The SilE protein is suspected to have a prominent role in Ag+ detoxification of silver resistant bacteria. Using model peptides, we elucidated both qualitative and quantitative aspects of the Ag+-induced α-helical structuring role of His- and Met-rich sequences of SilE, improving our understanding of its function within the Sil system

    Structural constraints for the Crh protein from solid-state NMR experiments

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    We demonstrate that short, medium and long-range constraints can be extracted from proton mediated, rare-spin detected correlation solid-state NMR experiments for the microcrystalline 10.4 × 2 kDa dimeric model protein Crh. Magnetization build-up curves from cross signals in NHHC and CHHC spectra deliver detailed information on side chain conformers and secondary structure for interactions between spin pairs. A large number of medium and long-range correlations can be observed in the spectra, and an analysis of the resolved signals reveals that the constraints cover the entire sequence, also including inter-monomer contacts between the two molecules forming the domain-swapped Crh dimer. Dynamic behavior is shown to have an impact on cross signals intensities, as indicated for mobile residues or regions by contacts predicted from the crystal structure, but absent in the spectra. Our work validates strategies involving proton distance measurements for large and complex proteins as the Crh dimer, and confirms the magnetization transfer properties previously described for small molecules in solid protein samples

    Big data: a cultural and technical challenge for which agriculture has strong assets

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    International audienceNo doubt that big data is a technical challenge. During the Euragri workshop organized in Paris on March 9th 2016 on how to tackle this challenge in agriculture, the extent to which it is accompanied with cultural transformation became more and more obvious. The workshop highlighted also that the agriculture sector has a number of assets to benefit from the opportunities given by big data. Reversely agriculture could provide an interesting application field for specialists of big data

    Big data: a cultural and technical challenge for which agriculture has strong assets

    No full text
    International audienceNo doubt that big data is a technical challenge. During the Euragri workshop organized in Paris on March 9th 2016 on how to tackle this challenge in agriculture, the extent to which it is accompanied with cultural transformation became more and more obvious. The workshop highlighted also that the agriculture sector has a number of assets to benefit from the opportunities given by big data. Reversely agriculture could provide an interesting application field for specialists of big data
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