View in EDS

Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction.

Saved in:
Bibliographic Details
Title: Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction.
Authors: Montoya AL; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu., Hogendorf AS; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu., Tingey S; Waterford School 1480 E 9400 S Sandy UT 84093 USA., Kuberan A; West High School 241 N 300 W Salt Lake City UT 84103 USA., Yuen LH; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu., Schüler H; Center for Molecular Protein Science, Department of Chemistry, Lund University Lund 22100 Sweden., Franzini RM; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu.; Huntsman Cancer Institute, University of Utah 2000 Circle of Hope Salt Lake City UT 84054 USA.
Source: Chemical science [Chem Sci] 2025 May 09; Vol. 16 (24), pp. 10918-10927. Date of Electronic Publication: 2025 May 09 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 101545951 Publication Model: eCollection Cited Medium: Print ISSN: 2041-6520 (Print) Linking ISSN: 20416520 NLM ISO Abbreviation: Chem Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40395382
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Montoya+AL%22">Montoya AL</searchLink>; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu.<br /><searchLink fieldCode="AU" term="%22Hogendorf+AS%22">Hogendorf AS</searchLink>; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu.<br /><searchLink fieldCode="AU" term="%22Tingey+S%22">Tingey S</searchLink>; Waterford School 1480 E 9400 S Sandy UT 84093 USA.<br /><searchLink fieldCode="AU" term="%22Kuberan+A%22">Kuberan A</searchLink>; West High School 241 N 300 W Salt Lake City UT 84103 USA.<br /><searchLink fieldCode="AU" term="%22Yuen+LH%22">Yuen LH</searchLink>; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu.<br /><searchLink fieldCode="AU" term="%22Schüler+H%22">Schüler H</searchLink>; Center for Molecular Protein Science, Department of Chemistry, Lund University Lund 22100 Sweden.<br /><searchLink fieldCode="AU" term="%22Franzini+RM%22">Franzini RM</searchLink>; Department of Medicinal Chemistry, College of Pharmacy, University of Utah 30 S 2000 E Salt Lake City UT 84112 USA raphael.franzini@utah.edu.; Huntsman Cancer Institute, University of Utah 2000 Circle of Hope Salt Lake City UT 84054 USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101545951%22">Chemical science</searchLink> [Chem Sci] 2025 May 09; Vol. 16 (24), pp. 10918-10927. <i>Date of Electronic Publication: </i>2025 May 09 (<i>Print Publication: </i>2025).
– 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="%22Royal+Society+of+Chemistry%22">Royal Society of Chemistry </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101545951 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2041-6520 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220416520%22">20416520 </searchLink><i>NLM ISO Abbreviation: </i>Chem Sci <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40395382
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1039/d5sc00844a
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 10918
    Titles:
      – TitleFull: Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Montoya AL
      – PersonEntity:
          Name:
            NameFull: Hogendorf AS
      – PersonEntity:
          Name:
            NameFull: Tingey S
      – PersonEntity:
          Name:
            NameFull: Kuberan A
      – PersonEntity:
          Name:
            NameFull: Yuen LH
      – PersonEntity:
          Name:
            NameFull: Schüler H
      – PersonEntity:
          Name:
            NameFull: Franzini RM
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 09
              M: 05
              Text: 2025 May 09
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 2041-6520
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 24
          Titles:
            – TitleFull: Chemical science
              Type: main
ResultId 1