Literature DB >> 24529988

Computational tools for modeling xenometabolism of the human gut microbiota.

Martina Klünemann1, Melanie Schmid1, Kiran Raosaheb Patil2.   

Abstract

The gut microbiota is increasingly being recognized as a key site of metabolism for drugs and other xenobiotic compounds that are relevant to human health. The molecular complexity of the gut microbiota revealed by recent metagenomics studies has highlighted the need as well as the challenges for system-level modeling of xenobiotic metabolism in the gut. Here, we outline the possible pathways through which the gut microbiota can modify xenobiotics and review the available computational tools towards modeling complex xenometabolic processes. We put these diverse computational tools and relevant experimental findings into a unified perspective towards building holistic models of xenobiotic metabolism in the gut.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  biotransformation; functional metagenomics; metabolic modeling; microbial communities

Mesh:

Substances:

Year:  2014        PMID: 24529988     DOI: 10.1016/j.tibtech.2014.01.005

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  5 in total

Review 1.  Predicting and Understanding the Human Microbiome's Impact on Pharmacology.

Authors:  Reese Hitchings; Libusha Kelly
Journal:  Trends Pharmacol Sci       Date:  2019-06-03       Impact factor: 14.819

2.  P-glycoprotein multidrug transporter in inflammatory bowel diseases: More questions than answers.

Authors:  Elke Cario
Journal:  World J Gastroenterol       Date:  2017-03-07       Impact factor: 5.742

3.  Insights from pharmacokinetic models of host-microbiome drug metabolism.

Authors:  Maria Zimmermann-Kogadeeva; Michael Zimmermann; Andrew L Goodman
Journal:  Gut Microbes       Date:  2019-09-29

Review 4.  Towards a mechanistic understanding of reciprocal drug-microbiome interactions.

Authors:  Michael Zimmermann; Kiran Raosaheb Patil; Athanasios Typas; Lisa Maier
Journal:  Mol Syst Biol       Date:  2021-03       Impact factor: 11.429

Review 5.  Microbiota-Derived Metabolites in Tumor Progression and Metastasis.

Authors:  Tania Rossi; Daniele Vergara; Francesca Fanini; Michele Maffia; Sara Bravaccini; Francesca Pirini
Journal:  Int J Mol Sci       Date:  2020-08-12       Impact factor: 5.923

  5 in total

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