Evidence map›Paper›PMID 30900148›Full record

ArticleJournal of microbiology (Seoul, Korea)2019

A comprehensive in silico analysis of sortase superfamily.

Adeel Malik, Seung Bum Kim

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  6. The Structural Biology of Catalase Evolution.Sub-cellular biochemistry · 2024
    Review
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  10. Article
  11. A Unique Gene Module inFrontiers in microbiology · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. 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

2 authors at 1 institution in 1 country.

Adeel MalikDepartment of Microbiology and Molecular Biology, College of Bioscience and Biotechnology, Chungnam National University, Daejeon, 34134, Republic of Korea.
Seung Bum KimDepartment of Microbiology and Molecular Biology, College of Bioscience and Biotechnology, Chungnam National University, Daejeon, 34134, Republic of Korea. sbk01@cnu.ac.kr.
Chungnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sortases are cysteine transpeptidases that assemble surface proteins and pili in their cell envelope. Encoded by all Gram-positive bacteria, few Gram-negative bacteria and archaea, sortases are currently divided into six classes (A-F). Due to the steep increase in bacterial genome data in recent years, the number of sortase homologues have also escalated rapidly. In this study, we used protein sequence similarity networks to explore the taxonomic diversity of sortases and also to evaluate the current classification of these enzymes. The resultant data suggest that sortase classes A, B, and D predominate in Firmicutes and classes E and F are enriched in Actinobacteria, whereas class C is distributed in both Firmicutes and Actinobacteria except Streptomyces family. Sortases were also observed in various Gram-negatives and euryarchaeota, which should be recognized as novel classes of sortases. Motif analysis around the catalytic cysteine was also performed and suggested that the residue at 2

Indexed as

ActinobacteriaAmino Acid SequenceAminoacyltransferasesArchaeaBacteriaBacterial ProteinsComputer SimulationCysteineCysteine EndopeptidasesFimbriae, BacterialGenome, BacterialMembrane ProteinsModels, MolecularPhylogenyProtein Interaction Domains and MotifsSequence AlignmentAminoacyltransferasesBacterial ProteinsCysteineCysteine EndopeptidasesMembrane Proteinssortase Asortase Bsortase Csortase Dsortase EActinobacteriaFirmicutessequence similarity networksortasesubstrate recognition motif

Identifiers

PMID30900148
OpenAlexW2923820767

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.