Deep learning-based radiolabelled compound-protein interaction prediction for NDUFS1-targeting radiopharmaceutical discovery.
Saved in:
| 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.
Login for full access.
|
|
| ISSN: | 2191-219X |
|---|---|
| DOI: | 10.1186/s13550-025-01300-z |