Evidence map›Paper›PMID 34515387›Full record

ArticleProtein science : a publication of the Protein Society2022

SynWiki: Functional annotation of the first artificial organism Mycoplasma mycoides JCVI-syn3A.

Tiago Pedreira, Christoph Elfmann, Neil Singh, Jörg Stülke

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Improving the Annotations of JCVI-Syn3a Proteins.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Frontiers in microbiology · 2022
    Article
  8. 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

4 authors.

Tiago PedreiraDepartment of General Microbiology, Göttingen Center for Molecular Biosciences, Georg-August University Göttingen, Göttingen, Germany.ORCID 0000-0002-3416-5714
Christoph ElfmannDepartment of General Microbiology, Göttingen Center for Molecular Biosciences, Georg-August University Göttingen, Göttingen, Germany.
Neil SinghDepartment of General Microbiology, Göttingen Center for Molecular Biosciences, Georg-August University Göttingen, Göttingen, Germany.
Jörg StülkeDepartment of General Microbiology, Göttingen Center for Molecular Biosciences, Georg-August University Göttingen, Göttingen, Germany.ORCID 0000-0001-5881-5390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The new field of synthetic biology aims at the creation of artificially designed organisms. A major breakthrough in the field was the generation of the artificial synthetic organism Mycoplasma mycoides JCVI-syn3A. This bacterium possesses only 452 protein-coding genes, the smallest number for any organism that is viable independent of a host cell. However, about one third of the proteins have no known function indicating major gaps in our understanding of simple living cells. To facilitate the investigation of the components of this minimal bacterium, we have generated the database SynWiki (http://synwiki.uni-goettingen.de/). SynWiki is based on a relational database and gives access to published information about the genes and proteins of M. mycoides JCVI-syn3A. To gain a better understanding of the functions of the genes and proteins of the artificial bacteria, protein-protein interactions that may provide clues for the protein functions are included in an interactive manner. SynWiki is an important tool for the synthetic biology community that will support the comprehensive understanding of a minimal cell as well as the functional annotation of so far uncharacterized proteins.

Indexed as

Bacterial ProteinsDatabases, GeneticGenome, BacterialMolecular Sequence AnnotationMycoplasma mycoidesSoftwareSynthetic BiologyBacterial Proteinsessential genesgenome annotationsynthetic biologySynWiki

Identifiers

PMID34515387
PMCPMC8740822

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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.