View in EDS

Structure-based identification of sensor species for anticipating critical transitions.

Saved in:
Bibliographic Details
Title: Structure-based identification of sensor species for anticipating critical transitions.
Authors: Aparicio A; Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115., Velasco-Hernández JX; Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México., Moog CH; Laboratoire des Sciences du Numérique de Nantes, UMR 6004, CNRS, Nantes 44321, France., Liu YY; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115., Angulo MT; Consejo Nacional de Ciencia y Tecnología-Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México mangulo@im.unam.mx.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2021 Dec 21; Vol. 118 (51).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 34911755
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Structure-based identification of sensor species for anticipating critical transitions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Aparicio+A%22">Aparicio A</searchLink>; Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115.<br /><searchLink fieldCode="AU" term="%22Velasco-Hernández+JX%22">Velasco-Hernández JX</searchLink>; Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México.<br /><searchLink fieldCode="AU" term="%22Moog+CH%22">Moog CH</searchLink>; Laboratoire des Sciences du Numérique de Nantes, UMR 6004, CNRS, Nantes 44321, France.<br /><searchLink fieldCode="AU" term="%22Liu+YY%22">Liu YY</searchLink>; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115.<br /><searchLink fieldCode="AU" term="%22Angulo+MT%22">Angulo MT</searchLink>; Consejo Nacional de Ciencia y Tecnología-Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México mangulo@im.unam.mx.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227505876%22">Proceedings of the National Academy of Sciences of the United States of America</searchLink> [Proc Natl Acad Sci U S A] 2021 Dec 21; Vol. 118 (51).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22National+Academy+of+Sciences%22">National Academy of Sciences </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7505876 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1091-6490 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200278424%22">00278424 </searchLink><i>NLM ISO Abbreviation: </i>Proc Natl Acad Sci U S A <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34911755
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1073/pnas.2104732118
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Structure-based identification of sensor species for anticipating critical transitions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Aparicio A
      – PersonEntity:
          Name:
            NameFull: Velasco-Hernández JX
      – PersonEntity:
          Name:
            NameFull: Moog CH
      – PersonEntity:
          Name:
            NameFull: Liu YY
      – PersonEntity:
          Name:
            NameFull: Angulo MT
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 21
              M: 12
              Text: 2021 Dec 21
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-electronic
              Value: 1091-6490
          Numbering:
            – Type: volume
              Value: 118
            – Type: issue
              Value: 51
          Titles:
            – TitleFull: Proceedings of the National Academy of Sciences of the United States of America
              Type: main
ResultId 1