Literature DB >> 28811207

Anion-π interactions in active centers of superoxide dismutases.

Vesna R Ribić1, Srđan Đ Stojanović2, Mario V Zlatović3.   

Abstract

We investigated 1060 possible anion-π interactions in a data set of 41 superoxide dismutase active centers. Our observations indicate that majority of the aromatic residues are capable to form anion-π interactions, mainly by long-range contacts, and that there is preference of Trp over other aromatic residues in these interactions. Furthermore, 68% of total predicted interactions in the dataset are multiple anion-π interactions. Anion-π interactions are distance and orientation dependent. We analyzed the energy contribution resulting from anion-π interactions using ab initio calculations. The results showed that, while most of their interaction energies lay in the range from -0 to -4kcalmol-1, those energies can be up to -9kcalmol-1 and about 34% of interactions were found to be repulsive. Majority of the suggested anion-π interacting residues in ternary complexes are metal-assisted. Stabilization centers for these proteins showed that all the six residues found in predicted anion-π interactions are important in locating one or more of such centers. The anion-π interacting residues in these proteins were found to be highly conserved. We hope that these studies might contribute useful information regarding structural stability and its interaction in future designs of novel metalloproteins.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Active centers; Anion–π interactions; Interaction energy; Proteins; Superoxide dismutase

Mesh:

Substances:

Year:  2017        PMID: 28811207     DOI: 10.1016/j.ijbiomac.2017.08.050

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  2 in total

1.  Anion-π Catalysis Enabled by the Mechanical Bond.

Authors:  John R J Maynard; Bartomeu Galmés; Athanasios D Stergiou; Mark D Symes; Antonio Frontera; Stephen M Goldup
Journal:  Angew Chem Int Ed Engl       Date:  2022-02-03       Impact factor: 16.823

2.  Mining anion-aromatic interactions in the Protein Data Bank.

Authors:  Emilia Kuzniak-Glanowska; Michał Glanowski; Rafał Kurczab; Andrzej J Bojarski; Robert Podgajny
Journal:  Chem Sci       Date:  2022-03-01       Impact factor: 9.825

  2 in total

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