4.3 Article

An automated iterative approach for protein structure refinement using pseudocontact shifts

期刊

JOURNAL OF BIOMOLECULAR NMR
卷 75, 期 8-9, 页码 319-334

出版社

SPRINGER
DOI: 10.1007/s10858-021-00376-8

关键词

Pseudocontact shift; NMR; Armadillo repeat protein; Structure refinement

资金

  1. University of Zurich
  2. SINERGIA grant from the Swiss National Science Foundation [122686]

向作者/读者索取更多资源

An automated iterative procedure for backbone protein structure refinements using a limited amount of backbone amide PCSs is presented in this study, which can be particularly useful when approximate folds are known from other techniques and can produce reliable indicators through experimental PCSs.
NMR structure calculation using NOE-derived distance restraints requires a considerable number of assignments of both backbone and sidechains resonances, often difficult or impossible to get for large or complex proteins. Pseudocontact shifts (PCSs) also play a well-established role in NMR protein structure calculation, usually to augment existing structural, mostly NOE-derived, information. Existing refinement protocols using PCSs usually either require a sizeable number of sidechain assignments or are complemented by other experimental restraints. Here, we present an automated iterative procedure to perform backbone protein structure refinements requiring only a limited amount of backbone amide PCSs. Already known structural features from a starting homology model, in this case modules of repeat proteins, are framed into a scaffold that is subsequently refined by experimental PCSs. The method produces reliable indicators that can be monitored to judge about the performance. We applied it to a system in which sidechain assignments are hardly possible, designed Armadillo repeat proteins (dArmRPs), and we calculated the solution NMR structure of YM(4)A, a dArmRP containing four sequence-identical internal modules, obtaining high convergence to a single structure. We suggest that this approach is particularly useful when approximate folds are known from other techniques, such as X-ray crystallography, while avoiding inherent artefacts due to, for instance, crystal packing.

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