ArticleBioinformatics (Oxford, England)2024
PyCoMo: a python package for community metabolic model creation and analysis.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Cross-domain metabolic interactions link Methanobrevibacter smithii to colorectal cancer microbial ecosystems.Nature communications · 2026Article
- Metabolic modeling unveils potential probiotic roles ofISME communications · 2026Article
- Article
- Enabling next-generation anaerobic cultivation through biotechnology to advance functional microbiome research.Nature biotechnology · 2025Review
- A Study of the Community Relationships Between Methanotrophs and Their Satellites Using Constraint-Based Modeling Approach.International journal of molecular sciences · 2024Article
- Targeted isolation of Methanobrevibacter strains from fecal samples expands the cultivated human archaeome.Nature communications · 2024Article
- GEM-based computational modeling for exploring metabolic interactions in a microbial community.PLoS computational biology · 2024Article
- ScyNet: Visualizing interactions in community metabolic models.Bioinformatics advances · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
summaryPyCoMo is a python package for quick and easy generation of genome-scale compartmentalized community metabolic models that are compliant with current openCOBRA file formats. The resulting models can be used to predict (i) the maximum growth rate at a given abundance profile, (ii) the feasible community compositions at a given growth rate, and (iii) all exchange metabolites and cross-feeding interactions in a community metabolic model independent of the abundance profile; we demonstrate PyCoMo's capability by analysing methane production in a previously published simplified biogas community metabolic model. AVAILABILITY AND IMPLEMENTATION: PyCoMo is freely available under an MIT licence at http://github.com/univieCUBE/PyCoMo, the Python Package Index, and Zenodo.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.