Pseudopotentials for coarse‐grained cross‐link‐assisted modeling of protein structures.

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Bibliographic Details
Title: Pseudopotentials for coarse‐grained cross‐link‐assisted modeling of protein structures.
Authors: Kogut, Mateusz1, Gong, Zhou2, Tang, Chun3, Liwo, Adam1, adam.liwo@ug.edu.pl
Source: Journal of Computational Chemistry; 11/5/2021, Vol. 42 Issue 29, p2054-2067, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 152634127
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
  Group: Ti
  Data: Pseudopotentials for coarse‐grained cross‐link‐assisted modeling of protein structures.
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  Data: <searchLink fieldCode="AU" term="%22Kogut%2C+Mateusz%22">Kogut, Mateusz</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gong%2C+Zhou%22">Gong, Zhou</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Tang%2C+Chun%22">Tang, Chun</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Liwo%2C+Adam%22">Liwo, Adam</searchLink><relatesTo>1</relatesTo>, <i>adam.liwo@ug.edu.pl</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Chemistry%22">Journal of Computational Chemistry</searchLink>; 11/5/2021, Vol. 42 Issue 29, p2054-2067, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=152634127
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/jcc.26736
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 2054
    Titles:
      – TitleFull: Pseudopotentials for coarse‐grained cross‐link‐assisted modeling of protein structures.
        Type: main
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          Name:
            NameFull: Kogut, Mateusz
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            NameFull: Gong, Zhou
      – PersonEntity:
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            NameFull: Tang, Chun
      – PersonEntity:
          Name:
            NameFull: Liwo, Adam
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          Dates:
            – D: 05
              M: 11
              Text: 11/5/2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 01928651
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            – Type: volume
              Value: 42
            – Type: issue
              Value: 29
          Titles:
            – TitleFull: Journal of Computational Chemistry
              Type: main
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