Evidence map›Paper›PMID 38117054›Full record

ArticlemBio2024

Toxinome-the bacterial protein toxin database.

Aleks Danov, Ofir Segev, Avi Bograd, Yedidya Ben Eliyahu, Noam Dotan, Tommy Kaplan, Asaf Levy

Open access · goldAbstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Aleks Danov *Department of Plant Pathology and Microbiology, Institute of Environmental Science, The Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Ofir Segev *Department of Plant Pathology and Microbiology, Institute of Environmental Science, The Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Avi Bograd *Department of Plant Pathology and Microbiology, Institute of Environmental Science, The Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
Yedidya Ben EliyahuDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel.
Noam DotanDepartment of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel.
Tommy KaplanSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0002-1892-5461
Asaf LevyDepartment of Plant Pathology and Microbiology, Institute of Environmental Science, The Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.ORCID 0000-0003-2083-4072
Hebrew University of Jerusalem · ILWeizmann Institute of Science · IL

Funding

Israel Science Foundation (ISF) 1535/20Israel Science Foundation (ISF) 3300/20Volkswagen Foundation (VolkswagenStiftung) 11-76251-4656/2022
6 · The paper itself

Abstract

importanceMicrobes use protein toxins as important tools to attack neighboring cells, microbial or eukaryotic, and for self-killing when attacked by viruses. These toxins work through different mechanisms to inhibit cell growth or kill cells. Microbes also use antitoxin proteins to neutralize the toxin activities. Here, we developed a comprehensive database called Toxinome of nearly two million toxins and antitoxins that are encoded in 59,475 bacterial genomes. We described the distribution of bacterial toxins and identified that they are depleted by bacteria that live in hot and cold temperatures. We found 5,161 cases in which toxins and antitoxins are densely clustered in bacterial genomes and termed these areas "Toxin Islands." The Toxinome database is a useful resource for anyone interested in toxin biology and evolution, and it can guide the discovery of new toxins.

Indexed as

AntitoxinsBacterial ToxinsBacteriaBacterial ProteinsGenome, BacterialAntitoxinsBacterial ProteinsBacterial Toxinsbacterial toxinsdatabaseeffectorsmicrobial toxinsprotein toxinstoxin-antitoxintoxins

Identifiers

PMID38117054
PMCPMC10790787
OpenAlexW4389994583

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.