A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)-Reference-Cited by-同舟云学术

A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)

Published:2021-10-11 Issue:11 Volume:16 Page:5030-5082
ISSN:1754-2189
Container-title:Nature Protocols
language:en
Short-container-title:Nat Protoc

Author:

Dukovski Ilija^ORCID,Bajić Djordje,Chacón Jeremy M.,Quintin Michael,Vila Jean C. C.,Sulheim Snorre^ORCID,Pacheco Alan R.^ORCID,Bernstein David B.^ORCID,Riehl William J.,Korolev Kirill S.,Sanchez Alvaro,Harcombe William R.^ORCID,Segrè Daniel^ORCID

Funder

DOE | SC | Biological and Environmental Research

U.S. Department of Health & Human Services | NIH | National Institute of Dental and Craniofacial Research

NSF | BIO | Division of Environmental Biology

Norges Forskningsråd

Howard Hughes Medical Institute

Ford Foundation

Human Frontier Science Program

David and Lucile Packard Foundation

U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences

NSF | GEO | Division of Ocean Sciences

Simons Foundation

Frederick Gardner Cottrell Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology

Link

https://www.nature.com/articles/s41596-021-00593-3.pdf

Reference116 articles.

1. Shou, W., Ram, S. & Vilar, J. M. G. Synthetic cooperation in engineered yeast populations. Proc. Natl Acad. Sci. USA 104, 1877–1882 (2007).

2. Vorholt, J. A., Vogel, C., Carlström, C. I. & Müller, D. B. Establishing causality: opportunities of synthetic communities for plant microbiome research. Cell Host Microbe 22, 142–155 (2017).

3. Kehe, J. et al. Massively parallel screening of synthetic microbial communities. Proc. Natl Acad. Sci. USA 116, 12804–12809 (2019).

4. Venturelli, O. S. et al. Deciphering microbial interactions in synthetic human gut microbiome communities. Mol. Syst. Biol. 14, e8157 (2018).

5. Johns, N. I., Blazejewski, T., Gomes, A. L. & Wang, H. H. Principles for designing synthetic microbial communities. Curr. Opin. Microbiol. 31, 146–153 (2016).

Cited by 88 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deciphering and designing microbial communities by genome-scale metabolic modelling;Computational and Structural Biotechnology Journal;2024-12

2. Emerging multiscale insights on microbial carbon use efficiency in the land carbon cycle;Nature Communications;2024-09-13

3. Machine learning for the advancement of genome-scale metabolic modeling;Biotechnology Advances;2024-09

4. Engineering Microbial Consortia as Living Materials: Advances and Prospectives;ACS Synthetic Biology;2024-08-22

5. Modeling Microbial Communities: Perspective and Challenges;ACS Synthetic Biology;2024-08-16