TolRad, a model for predicting radiation tolerance using Pfam annotations, identifies novel radiosensitive bacterial species from reference genomes and MAGs.

Saved in:
Bibliographic Details
Title: TolRad, a model for predicting radiation tolerance using Pfam annotations, identifies novel radiosensitive bacterial species from reference genomes and MAGs.
Authors: Sweet P; McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA., Burroughs M; McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA., Jang S; McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA., Contreras L; McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA.
Source: Microbiology spectrum [Microbiol Spectr] 2024 Oct 03; Vol. 12 (10), pp. e0383823. Date of Electronic Publication: 2024 Sep 05.
Publication Type: Journal Article
Journal Info: Publisher: ASM Press Country of Publication: United States NLM ID: 101634614 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2165-0497 (Electronic) Linking ISSN: 21650497 NLM ISO Abbreviation: Microbiol Spectr Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39235252
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: TolRad, a model for predicting radiation tolerance using Pfam annotations, identifies novel radiosensitive bacterial species from reference genomes and MAGs.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Sweet+P%22">Sweet P</searchLink>; McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Burroughs+M%22">Burroughs M</searchLink>; McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Jang+S%22">Jang S</searchLink>; McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Contreras+L%22">Contreras L</searchLink>; McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101634614%22">Microbiology spectrum</searchLink> [Microbiol Spectr] 2024 Oct 03; Vol. 12 (10), pp. e0383823. <i>Date of Electronic Publication: </i>2024 Sep 05.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22ASM+Press%22">ASM Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101634614 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2165-0497 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221650497%22">21650497 </searchLink><i>NLM ISO Abbreviation: </i>Microbiol Spectr <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39235252
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1128/spectrum.03838-23
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0383823
    Titles:
      – TitleFull: TolRad, a model for predicting radiation tolerance using Pfam annotations, identifies novel radiosensitive bacterial species from reference genomes and MAGs.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sweet P
      – PersonEntity:
          Name:
            NameFull: Burroughs M
      – PersonEntity:
          Name:
            NameFull: Jang S
      – PersonEntity:
          Name:
            NameFull: Contreras L
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 10
              Text: 2024 Oct 03
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 2165-0497
          Numbering:
            – Type: volume
              Value: 12
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Microbiology spectrum
              Type: main
ResultId 1