Evidence map›Paper›PMID 34635859›Full record

ArticleNature protocols2021

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

Ilija Dukovski, Djordje Bajić, Jeremy M Chacón, Michael Quintin, Jean C C Vila, Snorre Sulheim, Alan R Pacheco, David B Bernstein, William J Riehl, Kirill S Korolev and 3 more

Abstract read
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

96 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Principles for Rigorous Design and Application of Synthetic Microbial Communities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Pooled it
  2. Review
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  6. Article
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  9. Microbial biotechnology meets ecological theory: a unified framework to design industrial microbial consortia.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Review
  10. Review
  11. Review
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  13. Article
  14. Dynamic metabolic modelling of ATP allocation during viral infection.Journal of the Royal Society, Interface · 2026
    Article
  15. Review
  16. Article
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36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ilija Dukovski *Bioinformatics Program, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5160-1944
Djordje Bajić *Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
Jeremy M Chacón *Department of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, MN, USA.
Michael Quintin *Bioinformatics Program, Boston University, Boston, MA, USA.
Jean C C VilaDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
Snorre SulheimBioinformatics Program, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3967-1683
Alan R PachecoBioinformatics Program, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1128-3232
David B BernsteinBiological Design Center, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6091-4021
William J RiehlEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Kirill S KorolevBioinformatics Program, Boston University, Boston, MA, USA.
Alvaro SanchezDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
William R HarcombeDepartment of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, MN, USA.ORCID http://orcid.org/0000-0001-8445-2052
Daniel SegrèBioinformatics Program, Boston University, Boston, MA, USA. dsegre@bu.edu.ORCID http://orcid.org/0000-0003-4859-1914

Funding

Cultivation, Nature, Ecology and Pathogenicity of the Uncultivable Oral MicrobiomR01DE024468 · NIDCR · ADA FORSYTH INSTITUTE, INC. · PI ALM, ERIC JOHN, DEWHIRST, FLOYD E · 2014 to 2018
$7.3M
Predoctoral Training in Bioinformatics and Computational BiologyT32GM100842 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI TULLIUS, THOMAS D · 2012 to 2022
$2.8M
Systems biology and the evolutionary dynamics in a synthetic microbial communityR01GM121498 · NIGMS · UNIVERSITY OF MINNESOTA · PI HARCOMBE, WILLIAM · 2017 to 2021
$1.5M
Predicting the assembly and function of microbial consortia: a systems biology approachR35GM133467 · NIGMS · YALE UNIVERSITY · PI SANCHEZ DE ANDRES, ALVARO · 2019 to 2021
$1.3M
A platform for mining, visualization and design of microbial interaction networksR01GM121950 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DELISI, CHARLES, HU, ZHENJUN · 2017 to 2019
$1.1M
NIDCR NIH HHS R01 DE024468NIGMS NIH HHS R01 GM121498NIGMS NIH HHS R01 GM121950NIGMS NIH HHS R35 GM133467NIGMS NIH HHS T32 GM100842
6 · The paper itself

Abstract

Genome-scale stoichiometric modeling of metabolism has become a standard systems biology tool for modeling cellular physiology and growth. Extensions of this approach are emerging as a valuable avenue for predicting, understanding and designing microbial communities. Computation of microbial ecosystems in time and space (COMETS) extends dynamic flux balance analysis to generate simulations of multiple microbial species in molecularly complex and spatially structured environments. Here we describe how to best use and apply the most recent version of COMETS, which incorporates a more accurate biophysical model of microbial biomass expansion upon growth, evolutionary dynamics and extracellular enzyme activity modules. In addition to a command-line option, COMETS includes user-friendly Python and MATLAB interfaces compatible with the well-established COBRA models and methods, as well as comprehensive documentation and tutorials. This protocol provides a detailed guideline for installing, testing and applying COMETS to different scenarios, generating simulations that take from a few minutes to several days to run, with broad applicability to microbial communities across biomes and scales.

Indexed as

EcosystemModels, BiologicalComputer SimulationSoftwareSystems Biology

Identifiers

PMID34635859
PMCPMC10824140

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.