Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Sciortino, Giuseppe

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Universitat Autònoma de Barcelona

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023A Series of Non-Oxido VIVComplexes of Dibasic ONS Donor Ligands15citations
  • 2021Spectroscopic/Computational Characterization and the X-ray Structure of the Adduct of the VIVO-Picolinato Complex with RNase A17citations
  • 2017Elucidation of Binding Site and Chiral Specificity of Oxidovanadium Drugs with Lysozyme through Theoretical Calculations44citations

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Correia, Isabel
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Dinda, Rupam
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Sahu, Gurunath
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Banerjee, Atanu
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Patra, Sushree Aradhana
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Carvalho, M. Fernanda N. N.
1 / 2 shared
Pisanu, Federico
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Pessoa, João Costa
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Reuter, Hans
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Garribba, Eugenio
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Vitale, Luigi
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Merlino, Antonello
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Ferraro, Giarita
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Sanna, Daniele
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Ugone, Valeria
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Demitri, Nicola
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Maréchal, Jean-Didier
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Micera, Giovanni
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Lledos, Agusti
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Co-Authors (by relevance)

  • Correia, Isabel
  • Dinda, Rupam
  • Sahu, Gurunath
  • Banerjee, Atanu
  • Patra, Sushree Aradhana
  • Carvalho, M. Fernanda N. N.
  • Pisanu, Federico
  • Pessoa, João Costa
  • Reuter, Hans
  • Garribba, Eugenio
  • Vitale, Luigi
  • Merlino, Antonello
  • Ferraro, Giarita
  • Sanna, Daniele
  • Ugone, Valeria
  • Demitri, Nicola
  • Maréchal, Jean-Didier
  • Micera, Giovanni
  • Lledos, Agusti
OrganizationsLocationPeople

article

Elucidation of Binding Site and Chiral Specificity of Oxidovanadium Drugs with Lysozyme through Theoretical Calculations

  • Maréchal, Jean-Didier
  • Sciortino, Giuseppe
  • Micera, Giovanni
  • Sanna, Daniele
  • Ugone, Valeria
  • Lledos, Agusti
  • Garribba, Eugenio
Abstract

© 2017 American Chemical Society. This study presents an implementation of the protein-ligand docking program GOLD and a generalizable method to predict the binding site and orientation of potential vanadium drugs. Particularly, theoretical methods were applied to the study of the interaction of two VIVO complexes with antidiabetic activity, [VIVO(pic)2(H2O)] and [VIVO(ma)2(H2O)], where pic is picolinate and ma is maltolate, with lysozyme (Lyz) for which electron paramagnetic resonance spectroscopy suggests the binding of the moieties VO(pic)2 and VO(ma)2 through a carboxylate group of an amino acid residue (Asp or Glu). The work is divided in three parts: (1) the generation of a new series of parameters in GOLD program for vanadium compounds and the validation of the method on five X-ray structures of VIVO and VV species bound to proteins; (2) the prediction of the binding site and enantiomeric preference of [VO(pic)2(H2O)] to lysozyme, for which the X-ray diffraction analysis displays the interaction of a unique isomer (i.e., OC-6-23-Δ) through Asp52 residue, and the subsequent refinement of the results with quantum mechanics/molecular mechanics methods; (3) the application of the same approach to the interaction of [VO(ma)2(H2O)] with lysozyme. The results show that convenient implementation of protein-ligand docking programs allows for satisfactorily reproducing X-ray structures of metal complexes that interact with only one coordination site with proteins and predicting with blind procedures relevant low-energy binding modes. The results also demonstrate that the combination of docking methods with spectroscopic data could represent a new tool to predict (metal complex)-protein interactions and have a general applicability in this field, including for paramagnetic species.

Topics
  • impedance spectroscopy
  • compound
  • x-ray diffraction
  • gold
  • electron spin resonance spectroscopy
  • vanadium