Improvement of l-arginine production by in silico genome-scale metabolic network model guided genetic engineering.

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

4 citing papers in PubMed, 9 citations in OpenAlex.

1. Engineering of a LysG-derived arginine-specific biosensor for high-throughput screening of arginine overproducers in Corynebacterium glutamicum.Biotechnology for biofuels and bioproducts · 2026
   Article
2. Harnessing prokaryotic amino acid transporters for metabolic engineering: mechanisms and biotechnological applications.Synthetic and systems biotechnology · 2026
   Review
3. A genome-scale metabolic model of the effect of dissolved oxygen on 1,3-propanediol fermentation by Klebsiella pneumoniae.Bioprocess and biosystems engineering · 2023
   Article
4. Production of l-glutamate family amino acids inSynthetic and systems biotechnology · 2021
   Review

Corrections and comments

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

Authors and funding

5 authors at 1 institution in 1 country.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as