ReviewHeliyon2024
Advancements in enzymatic reaction-mediated microbial transformation.
Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Advances in Physicochemical and Biological Treatment of Textile Wastewater: An Applied Review of Methods, Technologies, and Costs.Water environment research : a research publication of the Water Environment Federation · 2026Review
- Genetically Modified Lactic Acid Bacteria in the EU Food Chain: Applications, Benefits, and Risk Assessment.International journal of molecular sciences · 2026Review
- Pollutant biodegradation profile mediated by multi-trophic microbial dynamics in rivers.ISME communications · 2026Article
- Microbiome-mycotoxin interactions and probiotic strategies: implications for gut health and cancer.Frontiers in nutrition · 2026Review
- Draft genome sequence ofMicrobiology resource announcements · 2025Article
- Review
- Redefining Chemoresistance: Natural Bioactives as Molecular Modulators at the Cancer-Tumor Microenvironment Interface.International journal of molecular sciences · 2025Review
- Functional potential and applications of Ureibacillus massiliensis based on whole-genome sequencing analysis.BMC microbiology · 2025Article
- Enhanced production of methylated resveratrol in engineered3 Biotech · 2025Article
- 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enzymatic reaction-mediated microbial transformation has emerged as a promising technology with significant potential in various industries. These technologies offer the ability to produce enzymes on a large scale, optimize their functionality, and enable sustainable production processes. By utilizing microbial hosts and manipulating their genetic makeup, enzymes can be synthesized efficiently and tailored to meet specific industrial requirements. This leads to enhanced enzyme performance and selectivity, facilitating the development of novel processes and the production of valuable compounds. Moreover, microbial transformation and biosynthesis offer sustainable alternatives to traditional chemical methods, reducing environmental impact and promoting greener production practices. Microbial transformations enrich drug candidate diversity and enhance active ingredient potency, benefiting the pharmaceutical industry. Continued advancements in genetic engineering and bioprocess optimization drive further innovation and application development in Enzymatic reaction-mediated microbial transformation. The integration of AI for predicting enzymatic reactions and optimizing pathways marks a promising direction for future research. In summary, these technologies have the potential to revolutionize several industries by providing cost-effective, sustainable solutions.
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.