Evidence map›Paper›PMID 41729311›Full record

ReviewBiotechnology letters2026

Advances in genome-scale metabolic modeling of Bacillus subtilis.

Pınar Kocabaş

Abstract readReview
PubMed Publisher
In one paragraph

Review in Biotechnology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Pınar Kocabaş, İzmir, Türkiye. pkocabas80@gmail.com.ORCID http://orcid.org/0000-0001-9788-2019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacillus subtilis is a key industrial microorganism widely used to produce enzymes, vitamins, antibiotics, and recombinant proteins. Its non-pathogenic nature, efficient protein secretion systems, and genetic tractability make it an ideal candidate for industrial biotechnology. Genome-scale metabolic modeling has emerged as a key systems biology approach to understand, explore and manipulate the metabolism of B. subtilis for improved strain performance. To date, the modeling efforts have resulted in fourteen published genome-scale metabolic reconstructions for B. subtilis; however, substantial opportunities for improvement remain, especially in integrating regulatory mechanisms for refining model accuracy. Furthermore, there is a growing trend toward modelling the cell as a whole system. This article is the first comprehensive and up-to-date review that highlights the genome sequencing, annotation efforts and the current state of genome-scale metabolic modeling for B. subtilis, emphasizing future directions.

Indexed as

Bacillus subtilisGenome, BacterialMetabolic Networks and PathwaysModels, BiologicalMetabolic EngineeringSystems BiologyBacillus subtilisGenome-scale metabolic model

Identifiers

PMID41729311

What OpenQuestion holds

Textmetadata
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.