Evidence map›Paper›PMID 37815531›Full record

ArticleeLife2023

Bactabolize is a tool for high-throughput generation of bacterial strain-specific metabolic models.

Ben Vezina, Stephen C Watts, Jane Hawkey, Helena B Cooper, Louise M Judd, Adam W J Jenney, Jonathan M Monk, Kathryn E Holt, Kelly L Wyres

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Exploring the IS-capades ofMicrobial genomics · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
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

9 authors.

Ben Vezina *Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.ORCID 0000-0003-4224-2537
Stephen C Watts *Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.
Jane HawkeyDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.
Helena B CooperDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.ORCID 0000-0002-7096-0010
Louise M JuddDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.
Adam W J JenneyMicrobiology Unit, Alfred Health, Melbourne, Australia.
Jonathan M MonkDepartment of Bioengineering, University of California, San Diego, San Diego, United States.
Kathryn E HoltDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.ORCID 0000-0003-3949-2471
Kelly L WyresDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.ORCID 0000-0002-4033-6639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic capacity can vary substantially within a bacterial species, leading to ecological niche separation, as well as differences in virulence and antimicrobial susceptibility. Genome-scale metabolic models are useful tools for studying the metabolic potential of individuals, and with the rapid expansion of genomic sequencing there is a wealth of data that can be leveraged for comparative analysis. However, there exist few tools to construct strain-specific metabolic models at scale. Here, we describe Bactabolize, a reference-based tool which rapidly produces strain-specific metabolic models and growth phenotype predictions. We describe a pan reference model for the priority antimicrobial-resistant pathogen,

Indexed as

Anti-Infective AgentsGenome, BacterialAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialHumansKlebsiella pneumoniaePhenotypeVirulenceAnti-Bacterial AgentsAnti-Infective Agentsbacterialcomputational biologyKlebsiella pneumoniaeKlebsiella pneumoniae species complexmetabolic modellingsoftwarestrain-specificsystems biology

Identifiers

PMID37815531
PMCPMC10564454

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.