Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases

The aim of this study was to investigate the chemical space and interactions of natural compounds with sulfotransferases (SULTs) using ligand- and structure-based in silico methods. An in-house library of natural ligands (hormones, neurotransmitters, plant-derived compounds and their metabolites) re...

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Autores principales: Iglika Lessigiarska, Yunhui Peng, Ivanka Tsakovska, Petko Alov, Nathalie Lagarde, Dessislava Jereva, Bruno O. Villoutreix, Arnaud B. Nicot, Ilza Pajeva, Tania Pencheva, Maria A. Miteva
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:881ad93c36fb4f09b34ebbf847c8a8052021-11-11T18:23:15ZComputational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases10.3390/molecules262163601420-3049https://doaj.org/article/881ad93c36fb4f09b34ebbf847c8a8052021-10-01T00:00:00Zhttps://www.mdpi.com/1420-3049/26/21/6360https://doaj.org/toc/1420-3049The aim of this study was to investigate the chemical space and interactions of natural compounds with sulfotransferases (SULTs) using ligand- and structure-based in silico methods. An in-house library of natural ligands (hormones, neurotransmitters, plant-derived compounds and their metabolites) reported to interact with SULTs was created. Their chemical structures and properties were compared to those of compounds of non-natural (synthetic) origin, known to interact with SULTs. The natural ligands interacting with SULTs were further compared to other natural products for which interactions with SULTs were not known. Various descriptors of the molecular structures were calculated and analyzed. Statistical methods (ANOVA, PCA, and clustering) were used to explore the chemical space of the studied compounds. Similarity search between the compounds in the different groups was performed with the ROCS software. The interactions with SULTs were additionally analyzed by docking into different experimental and modeled conformations of SULT1A1. Natural products with potentially strong interactions with SULTs were outlined. Our results contribute to a better understanding of chemical space and interactions of natural compounds with SULT enzymes and help to outline new potential ligands of these enzymes.Iglika LessigiarskaYunhui PengIvanka TsakovskaPetko AlovNathalie LagardeDessislava JerevaBruno O. VilloutreixArnaud B. NicotIlza PajevaTania PenchevaMaria A. MitevaMDPI AGarticlesulfotransferaseSULT1A1natural compoundsANOVAPCAcluster analysisOrganic chemistryQD241-441ENMolecules, Vol 26, Iss 6360, p 6360 (2021)
institution DOAJ
collection DOAJ
language EN
topic sulfotransferase
SULT1A1
natural compounds
ANOVA
PCA
cluster analysis
Organic chemistry
QD241-441
spellingShingle sulfotransferase
SULT1A1
natural compounds
ANOVA
PCA
cluster analysis
Organic chemistry
QD241-441
Iglika Lessigiarska
Yunhui Peng
Ivanka Tsakovska
Petko Alov
Nathalie Lagarde
Dessislava Jereva
Bruno O. Villoutreix
Arnaud B. Nicot
Ilza Pajeva
Tania Pencheva
Maria A. Miteva
Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases
description The aim of this study was to investigate the chemical space and interactions of natural compounds with sulfotransferases (SULTs) using ligand- and structure-based in silico methods. An in-house library of natural ligands (hormones, neurotransmitters, plant-derived compounds and their metabolites) reported to interact with SULTs was created. Their chemical structures and properties were compared to those of compounds of non-natural (synthetic) origin, known to interact with SULTs. The natural ligands interacting with SULTs were further compared to other natural products for which interactions with SULTs were not known. Various descriptors of the molecular structures were calculated and analyzed. Statistical methods (ANOVA, PCA, and clustering) were used to explore the chemical space of the studied compounds. Similarity search between the compounds in the different groups was performed with the ROCS software. The interactions with SULTs were additionally analyzed by docking into different experimental and modeled conformations of SULT1A1. Natural products with potentially strong interactions with SULTs were outlined. Our results contribute to a better understanding of chemical space and interactions of natural compounds with SULT enzymes and help to outline new potential ligands of these enzymes.
format article
author Iglika Lessigiarska
Yunhui Peng
Ivanka Tsakovska
Petko Alov
Nathalie Lagarde
Dessislava Jereva
Bruno O. Villoutreix
Arnaud B. Nicot
Ilza Pajeva
Tania Pencheva
Maria A. Miteva
author_facet Iglika Lessigiarska
Yunhui Peng
Ivanka Tsakovska
Petko Alov
Nathalie Lagarde
Dessislava Jereva
Bruno O. Villoutreix
Arnaud B. Nicot
Ilza Pajeva
Tania Pencheva
Maria A. Miteva
author_sort Iglika Lessigiarska
title Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases
title_short Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases
title_full Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases
title_fullStr Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases
title_full_unstemmed Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases
title_sort computational analysis of chemical space of natural compounds interacting with sulfotransferases
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/881ad93c36fb4f09b34ebbf847c8a805
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