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

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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
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ISSN:2191-219X
DOI:10.1186/s13550-025-01300-z