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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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) |
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sulfotransferase SULT1A1 natural compounds ANOVA PCA cluster analysis Organic chemistry QD241-441 |
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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 |
work_keys_str_mv |
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1718431834832896000 |