http://www.cnr.it/ontology/cnr/individuo/prodotto/ID58794
Synergic approach to XAFS analysis for the identification of most probable binding motifs for mononuclear zinc sites in metalloproteins (Articolo in rivista)
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- Synergic approach to XAFS analysis for the identification of most probable binding motifs for mononuclear zinc sites in metalloproteins (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Alternative label
Giachini, Lisa; Veronesi, Giulia; Francia, Francesco; Venturoli, Giovanni; Boscherini, Federico (2010)
Synergic approach to XAFS analysis for the identification of most probable binding motifs for mononuclear zinc sites in metalloproteins
in Journal of synchrotron radiation; IUCr, International union of crystallography, Chester (Regno Unito)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Giachini, Lisa; Veronesi, Giulia; Francia, Francesco; Venturoli, Giovanni; Boscherini, Federico (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Australian Synchrotron; Physics Department, University of Bologna; Biology Department, University of Bologna (literal)
- Titolo
- Synergic approach to XAFS analysis for the identification of most probable binding motifs for mononuclear zinc sites in metalloproteins (literal)
- Abstract
- In the present work a data analysis approach, based on XAFS data, is proposed
for the identification of most probable binding motifs of unknown mononuclear
zinc sites in metalloproteins. This approach combines multiple-scattering
EXAFS analysis performed within the rigid-body refinement scheme, nonmuffin-
tin ab initio XANES simulations, average structural information on
amino acids and metal binding clusters provided by the Protein Data Bank, and
Debye-Waller factor calculations based on density functional theory. The
efficiency of the method is tested by using three reference zinc proteins for
which the local structure around the metal is already known from protein
crystallography. To show the applicability of the present analysis to structures
not deposited in the Protein Data Bank, the XAFS spectra of six mononuclear
zinc binding sites present in diverse membrane proteins, for which we have
previously proposed the coordinating amino acids by applying a similar
approach, is also reported. By comparing the Zn K-edge XAFS features
exhibited by these proteins with those pertaining to the reference structures, key
spectral characteristics, related to specific binding motifs, are observed. These
case studies exemplify the combined data analysis proposed and further support
its validity. (literal)
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