Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kuzniak-Glanowska, Emilia, Glanowski, Michał, Kurczab, Rafał, Bojarski, Andrzej J., Podgajny, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
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
_version_ 1784682375851016192
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
work_keys_str_mv AT kuzniakglanowskaemilia mininganionaromaticinteractionsintheproteindatabank
AT glanowskimichał mininganionaromaticinteractionsintheproteindatabank
AT kurczabrafał mininganionaromaticinteractionsintheproteindatabank
AT bojarskiandrzejj mininganionaromaticinteractionsintheproteindatabank
AT podgajnyrobert mininganionaromaticinteractionsintheproteindatabank