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Mining anion–aromatic interactions in the Protein Data Bank
Mutual positioning and non-covalent interactions in anion–aromatic motifs are crucial for functional performance of biological systems. In this context, regular, comprehensive Protein Data Bank (PDB) screening that involves various scientific points of view and individual critical analysis is of utm...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985504/ https://www.ncbi.nlm.nih.gov/pubmed/35440982 http://dx.doi.org/10.1039/d2sc00763k |
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author | Kuzniak-Glanowska, Emilia Glanowski, Michał Kurczab, Rafał Bojarski, Andrzej J. Podgajny, Robert |
author_facet | Kuzniak-Glanowska, Emilia Glanowski, Michał Kurczab, Rafał Bojarski, Andrzej J. Podgajny, Robert |
author_sort | Kuzniak-Glanowska, Emilia |
collection | PubMed |
description | Mutual positioning and non-covalent interactions in anion–aromatic motifs are crucial for functional performance of biological systems. In this context, regular, comprehensive Protein Data Bank (PDB) screening that involves various scientific points of view and individual critical analysis is of utmost importance. Analysis of anions in spheres with radii of 5 Å around all 5- and 6-membered aromatic rings allowed us to distinguish 555 259 unique anion–aromatic motifs, including 92 660 structures out of the 171 588 structural files in the PDB. The use of a scarcely exploited (x, h) coordinate system led to (i) identification of three separate areas of motif accumulation: A – over the ring, B – over the ring-substituent bonds, and C – roughly in the plane of the aromatic ring, and (ii) unprecedented simultaneous comparative description of various anion–aromatic motifs located in these areas. Of the various residues considered, i.e. aminoacids, nucleotides, and ligands, the latter two exhibited a considerable tendency to locate in region Avia archetypal anion–π contacts. The applied model not only enabled statistical quantitative analysis of space around the ring, but also enabled discussion of local intermolecular arrangements, as well as detailed sequence and secondary structure analysis, e.g. anion–π interactions in the GNRA tetraloop in RNA and protein helical structures. As a purely practical issue of this work, the new code source for the PDB research was produced, tested and made freely available at https://github.com/chemiczny/PDB_supramolecular_search. |
format | Online Article Text |
id | pubmed-8985504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-89855042022-04-18 Mining anion–aromatic interactions in the Protein Data Bank Kuzniak-Glanowska, Emilia Glanowski, Michał Kurczab, Rafał Bojarski, Andrzej J. Podgajny, Robert Chem Sci Chemistry Mutual positioning and non-covalent interactions in anion–aromatic motifs are crucial for functional performance of biological systems. In this context, regular, comprehensive Protein Data Bank (PDB) screening that involves various scientific points of view and individual critical analysis is of utmost importance. Analysis of anions in spheres with radii of 5 Å around all 5- and 6-membered aromatic rings allowed us to distinguish 555 259 unique anion–aromatic motifs, including 92 660 structures out of the 171 588 structural files in the PDB. The use of a scarcely exploited (x, h) coordinate system led to (i) identification of three separate areas of motif accumulation: A – over the ring, B – over the ring-substituent bonds, and C – roughly in the plane of the aromatic ring, and (ii) unprecedented simultaneous comparative description of various anion–aromatic motifs located in these areas. Of the various residues considered, i.e. aminoacids, nucleotides, and ligands, the latter two exhibited a considerable tendency to locate in region Avia archetypal anion–π contacts. The applied model not only enabled statistical quantitative analysis of space around the ring, but also enabled discussion of local intermolecular arrangements, as well as detailed sequence and secondary structure analysis, e.g. anion–π interactions in the GNRA tetraloop in RNA and protein helical structures. As a purely practical issue of this work, the new code source for the PDB research was produced, tested and made freely available at https://github.com/chemiczny/PDB_supramolecular_search. The Royal Society of Chemistry 2022-03-01 /pmc/articles/PMC8985504/ /pubmed/35440982 http://dx.doi.org/10.1039/d2sc00763k Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Chemistry Kuzniak-Glanowska, Emilia Glanowski, Michał Kurczab, Rafał Bojarski, Andrzej J. Podgajny, Robert Mining anion–aromatic interactions in the Protein Data Bank |
title | Mining anion–aromatic interactions in the Protein Data Bank |
title_full | Mining anion–aromatic interactions in the Protein Data Bank |
title_fullStr | Mining anion–aromatic interactions in the Protein Data Bank |
title_full_unstemmed | Mining anion–aromatic interactions in the Protein Data Bank |
title_short | Mining anion–aromatic interactions in the Protein Data Bank |
title_sort | mining anion–aromatic interactions in the protein data bank |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985504/ https://www.ncbi.nlm.nih.gov/pubmed/35440982 http://dx.doi.org/10.1039/d2sc00763k |
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