Deep learning-based radiolabelled compound-protein interaction prediction for NDUFS1-targeting radiopharmaceutical discovery.

Saved in:
Bibliographic Details
Title: Deep learning-based radiolabelled compound-protein interaction prediction for NDUFS1-targeting radiopharmaceutical discovery.
Authors: Almaslamani M; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea.; Radiological & Medico-Oncological Sciences, University of Science & Technology, Daejeon, Republic of Korea., Yang J; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea., Kang CS; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea.; Radiological & Medico-Oncological Sciences, University of Science & Technology, Daejeon, Republic of Korea., Kang CM; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea.; Radiological & Medico-Oncological Sciences, University of Science & Technology, Daejeon, Republic of Korea., Park JM; Department of Nuclear Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea., Woo SK; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea. skwoo@kcch.re.kr.; Radiological & Medico-Oncological Sciences, University of Science & Technology, Daejeon, Republic of Korea. skwoo@kcch.re.kr.
Source: EJNMMI research [EJNMMI Res] 2025 Aug 12; Vol. 15 (1), pp. 106. Date of Electronic Publication: 2025 Aug 12.
Publication Type: Journal Article
Journal Info: Publisher: Springer Berlin Country of Publication: Germany NLM ID: 101560946 Publication Model: Electronic Cited Medium: Print ISSN: 2191-219X (Print) Linking ISSN: 2191219X NLM ISO Abbreviation: EJNMMI Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40794258
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep learning-based radiolabelled compound-protein interaction prediction for NDUFS1-targeting radiopharmaceutical discovery.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Almaslamani+M%22">Almaslamani M</searchLink>; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea.; Radiological & Medico-Oncological Sciences, University of Science & Technology, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yang+J%22">Yang J</searchLink>; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kang+CS%22">Kang CS</searchLink>; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea.; Radiological & Medico-Oncological Sciences, University of Science & Technology, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kang+CM%22">Kang CM</searchLink>; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea.; Radiological & Medico-Oncological Sciences, University of Science & Technology, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+JM%22">Park JM</searchLink>; Department of Nuclear Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Woo+SK%22">Woo SK</searchLink>; Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Nowon-gu, Seoul, Republic of Korea. skwoo@kcch.re.kr.; Radiological & Medico-Oncological Sciences, University of Science & Technology, Daejeon, Republic of Korea. skwoo@kcch.re.kr.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101560946%22">EJNMMI research</searchLink> [EJNMMI Res] 2025 Aug 12; Vol. 15 (1), pp. 106. <i>Date of Electronic Publication: </i>2025 Aug 12.
– 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="%22Springer+Berlin%22">Springer Berlin </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101560946 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2191-219X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222191219X%22">2191219X </searchLink><i>NLM ISO Abbreviation: </i>EJNMMI Res <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40794258
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s13550-025-01300-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 106
    Titles:
      – TitleFull: Deep learning-based radiolabelled compound-protein interaction prediction for NDUFS1-targeting radiopharmaceutical discovery.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Almaslamani M
      – PersonEntity:
          Name:
            NameFull: Yang J
      – PersonEntity:
          Name:
            NameFull: Kang CS
      – PersonEntity:
          Name:
            NameFull: Kang CM
      – PersonEntity:
          Name:
            NameFull: Park JM
      – PersonEntity:
          Name:
            NameFull: Woo SK
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 12
              M: 08
              Text: 2025 Aug 12
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 2191-219X
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: EJNMMI research
              Type: main
ResultId 1