GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules

There has been a growing recognition of the significant role played by the human gut microbiota in altering the bioavailability as well as the pharmacokinetic and pharmacodynamic aspects of orally ingested xenobiotic and biotic molecules. The determination of species-specific contributions to the me...

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Main Authors: Usha Longwani, Ashok K. Sharma, Aditya S. Malwe, Shubham K. Jaiswal, Vineet K. Sharma
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Gut Microbiome
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Online Access:https://www.cambridge.org/core/product/identifier/S263228972400015X/type/journal_article
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author Usha Longwani
Ashok K. Sharma
Aditya S. Malwe
Shubham K. Jaiswal
Vineet K. Sharma
author_facet Usha Longwani
Ashok K. Sharma
Aditya S. Malwe
Shubham K. Jaiswal
Vineet K. Sharma
author_sort Usha Longwani
collection DOAJ
description There has been a growing recognition of the significant role played by the human gut microbiota in altering the bioavailability as well as the pharmacokinetic and pharmacodynamic aspects of orally ingested xenobiotic and biotic molecules. The determination of species-specific contributions to the metabolism of biotic and xenobiotic molecules has the potential to aid in the development of new therapeutic and nutraceutical molecules that can modulate human gut microbiota. Here we present “GutBugDB,” an open-access digital repository that provides information on potential gut microbiome-mediated biotransformation of biotic and xenobiotic molecules using the predictions from the GutBug tool. This database is constructed using metabolic proteins from 690 gut bacterial genomes and 363,872 protein enzymes assigned with their EC numbers (with representative Expasy ID and domains present). It provides information on gut microbiome enzyme-mediated metabolic biotransformation for 1439 FDA-approved drugs and nutraceuticals. GutBugDB is publicly available at https://metabiosys.iiserb.ac.in/gutbugdb/.
format Article
id doaj-art-18f61a9044274222ab8c3dc4a7646201
institution Kabale University
issn 2632-2897
language English
publishDate 2025-01-01
publisher Cambridge University Press
record_format Article
series Gut Microbiome
spelling doaj-art-18f61a9044274222ab8c3dc4a76462012025-01-31T13:06:23ZengCambridge University PressGut Microbiome2632-28972025-01-01610.1017/gmb.2024.15GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic moleculesUsha Longwani0Ashok K. Sharma1Aditya S. Malwe2Shubham K. Jaiswal3Vineet K. Sharma4https://orcid.org/0000-0002-2958-6215MetaBioSys Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Bhopal, Madhya Pradesh, IndiaMetaBioSys Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Bhopal, Madhya Pradesh, IndiaMetaBioSys Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Bhopal, Madhya Pradesh, IndiaMetaBioSys Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Bhopal, Madhya Pradesh, IndiaMetaBioSys Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Bhopal, Madhya Pradesh, IndiaThere has been a growing recognition of the significant role played by the human gut microbiota in altering the bioavailability as well as the pharmacokinetic and pharmacodynamic aspects of orally ingested xenobiotic and biotic molecules. The determination of species-specific contributions to the metabolism of biotic and xenobiotic molecules has the potential to aid in the development of new therapeutic and nutraceutical molecules that can modulate human gut microbiota. Here we present “GutBugDB,” an open-access digital repository that provides information on potential gut microbiome-mediated biotransformation of biotic and xenobiotic molecules using the predictions from the GutBug tool. This database is constructed using metabolic proteins from 690 gut bacterial genomes and 363,872 protein enzymes assigned with their EC numbers (with representative Expasy ID and domains present). It provides information on gut microbiome enzyme-mediated metabolic biotransformation for 1439 FDA-approved drugs and nutraceuticals. GutBugDB is publicly available at https://metabiosys.iiserb.ac.in/gutbugdb/.https://www.cambridge.org/core/product/identifier/S263228972400015X/type/journal_articlebiotransformationdatabasehuman gut microbiomemachine learningxenobiotic metabolism
spellingShingle Usha Longwani
Ashok K. Sharma
Aditya S. Malwe
Shubham K. Jaiswal
Vineet K. Sharma
GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules
Gut Microbiome
biotransformation
database
human gut microbiome
machine learning
xenobiotic metabolism
title GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules
title_full GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules
title_fullStr GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules
title_full_unstemmed GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules
title_short GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules
title_sort gutbugdb a web resource to predict the human gut microbiome mediated biotransformation of biotic and xenobiotic molecules
topic biotransformation
database
human gut microbiome
machine learning
xenobiotic metabolism
url https://www.cambridge.org/core/product/identifier/S263228972400015X/type/journal_article
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