<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Akarsu, Hatice</dc:creator>
  <dc:creator>Bordes, Patricia</dc:creator>
  <dc:creator>Mansour, Moise</dc:creator>
  <dc:creator>Bigot, Donna-Joe</dc:creator>
  <dc:creator>Genevaux, Pierre</dc:creator>
  <dc:creator>Falquet, Laurent</dc:creator>
  <dc:date>2019-04-25</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Bacterial Toxin-Antitoxin systems (TAS) are involved in key biological functions  including plasmid maintenance, defense against phages, persistence and virulence.  They are found in nearly all phyla and classified into 6 different types based on the  mode of inactivation of the toxin, with the type II TAS being the best characterized so  far. We have herein developed a new in silico discovery pipeline named TASmania,  which mines the &gt;41K assemblies of the EnsemblBacteria database for known and  uncharacterized protein components of type I to IV TAS loci. Our pipeline annotates  the proteins based on a list of curated HMMs, which leads to &gt;2.106 loci candidates,  including orphan toxins and antitoxins, and organises the candidates in pseudo- operon structures in order to identify new TAS candidates based on a guilt-by- association strategy. In addition, we classify the two-component TAS with an  unsupervised method on top of the pseudo-operon (pop) gene structures, leading to  1567 “popTA” models offering a more robust classification of the TAs families. These  results give valuable clues in understanding the toxin/antitoxin modular structures and  the TAS phylum specificities. Preliminary in vivo work confirmed six putative new hits  in Mycobacterium tuberculosis as promising candidates. The TASmania database is  available on the following server https://shiny.bioinformatics.unibe.ch/apps/tasmania/.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/307892</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/307892/files/fal_tbt.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1006946</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>PLOS Computational Biology. - 2019, vol. 15, no. 4, p. e1006946</dc:source>
  <dc:subject>info:eu-repo/classification/udc/57</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">TASmania: A bacterial Toxin-Antitoxin Systems database</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
