Evidence map›Paper›PMID 37840639›Full record

ArticleSynthetic and systems biotechnology2023

DSEMR: A database for special environment microorganisms resource and associating them with synthetic biological parts.

Yuzhou Wang, Jinyi Qian, Fang Yan, Yuetong Wang, Tianqiong Shi, Zhidong Zhang, Chao Ye, He Huang

Abstract read
In one paragraph

Article in Synthetic and systems biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Yuzhou WangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Jinyi QianSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Fang YanSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Yuetong WangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Tianqiong ShiSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Zhidong ZhangInstitute of Microbiology, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, China.
Chao YeSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
He HuangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Special environmental microorganisms are considered to be of great industrial application value because of their special genotypes, physiological functions and metabolites. The research and development of special environmental microorganisms will certainly bring about some innovations in biotechnology processes and change the face of bioengineering. The Special Environmental Microbial Database (DSEMR) is a comprehensive database that provides information on special environmental microbial resources and correlates them with synthetic biological parts. DSEMR aggregates information on specific environmental microbial genomes, physiological properties, culture media, biological parts, and metabolic pathways, and provides online tool analysis data, including 5268 strains from 620 genera, 31 media, and 42,126 biological parts. In short, DSEMR will become an important resource for the study of microorganisms in special environments and actively promote the development of synthetic biology.

Indexed as

Physiological functionsSpecial environment microorganismSynthetic biological parts

Identifiers

PMID37840639
PMCPMC10569984

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.