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...
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/75f87b3c80b74ee3b132d5f3e4bd2ef1 |
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| Sumario: | 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. |
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