Expanding the drug discovery space with predicted metabolite–target interactions

Using computational approaches, Nuzzo et al. identify 983 potential metabolite–human target interactions from the Inflammatory Bowel Disease (IBD) cohort dataset of the Human Microbiome Project 2 (HMP2) and public databases. These predicted interactions can further the understanding of host–microbio...

Full description

Saved in:

Bibliographic Details
Main Authors:	Andrea Nuzzo, Somdutta Saha, Ellen Berg, Channa Jayawickreme, Joel Tocker, James R. Brown
Format:	article
Language:	EN
Published:	Nature Portfolio 2021
Subjects:	Biology (General) QH301-705.5
Online Access:	https://doaj.org/article/75f87b3c80b74ee3b132d5f3e4bd2ef1
Tags:	Add Tag No Tags, Be the first to tag this record!

id	oai:doaj.org-article:75f87b3c80b74ee3b132d5f3e4bd2ef1
record_format	dspace
spelling	oai:doaj.org-article:75f87b3c80b74ee3b132d5f3e4bd2ef12021-12-02T13:33:50ZExpanding the drug discovery space with predicted metabolite–target interactions10.1038/s42003-021-01822-x2399-3642https://doaj.org/article/75f87b3c80b74ee3b132d5f3e4bd2ef12021-03-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-01822-xhttps://doaj.org/toc/2399-3642Using computational approaches, Nuzzo et al. identify 983 potential metabolite–human target interactions from the Inflammatory Bowel Disease (IBD) cohort dataset of the Human Microbiome Project 2 (HMP2) and public databases. These predicted interactions can further the understanding of host–microbiome interactions and assist in drug discovery for IBD and other diseases.Andrea NuzzoSomdutta SahaEllen BergChanna JayawickremeJoel TockerJames R. BrownNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Andrea Nuzzo Somdutta Saha Ellen Berg Channa Jayawickreme Joel Tocker James R. Brown Expanding the drug discovery space with predicted metabolite–target interactions
description	Using computational approaches, Nuzzo et al. identify 983 potential metabolite–human target interactions from the Inflammatory Bowel Disease (IBD) cohort dataset of the Human Microbiome Project 2 (HMP2) and public databases. These predicted interactions can further the understanding of host–microbiome interactions and assist in drug discovery for IBD and other diseases.
format	article
author	Andrea Nuzzo Somdutta Saha Ellen Berg Channa Jayawickreme Joel Tocker James R. Brown
author_facet	Andrea Nuzzo Somdutta Saha Ellen Berg Channa Jayawickreme Joel Tocker James R. Brown
author_sort	Andrea Nuzzo
title	Expanding the drug discovery space with predicted metabolite–target interactions
title_short	Expanding the drug discovery space with predicted metabolite–target interactions
title_full	Expanding the drug discovery space with predicted metabolite–target interactions
title_fullStr	Expanding the drug discovery space with predicted metabolite–target interactions
title_full_unstemmed	Expanding the drug discovery space with predicted metabolite–target interactions
title_sort	expanding the drug discovery space with predicted metabolite–target interactions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/75f87b3c80b74ee3b132d5f3e4bd2ef1
work_keys_str_mv	AT andreanuzzo expandingthedrugdiscoveryspacewithpredictedmetabolitetargetinteractions AT somduttasaha expandingthedrugdiscoveryspacewithpredictedmetabolitetargetinteractions AT ellenberg expandingthedrugdiscoveryspacewithpredictedmetabolitetargetinteractions AT channajayawickreme expandingthedrugdiscoveryspacewithpredictedmetabolitetargetinteractions AT joeltocker expandingthedrugdiscoveryspacewithpredictedmetabolitetargetinteractions AT jamesrbrown expandingthedrugdiscoveryspacewithpredictedmetabolitetargetinteractions
_version_	1718392861498540032

Expanding the drug discovery space with predicted metabolite–target interactions

Similar Items