A synergistic deep learning and machine learning framework for screening heterocyclic compounds against ALDH1A1.

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Title: A synergistic deep learning and machine learning framework for screening heterocyclic compounds against ALDH1A1.
Authors: Cho SC; Department of Biological Sciences and Technology, National University of Tainan, 33, Sec. 2, Shu-Lin St., West Central Dist., Tainan City, 700, Taiwan, ROC., Wang YW; Department of Food Safety Hygiene and Risk Management, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan, ROC., Chu CA; Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704302, Taiwan, ROC., Huang MC; Department of Biological Sciences and Technology, National University of Tainan, 33, Sec. 2, Shu-Lin St., West Central Dist., Tainan City, 700, Taiwan, ROC., Pangging M; Research School of Biology, Australian National University, Canberra, ACT, 2601, Australia., Lee CT; Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704302, Taiwan, ROC. lcta@mail.ncku.edu.tw.
Source: Molecular diversity [Mol Divers] 2026 Jul 30. Date of Electronic Publication: 2026 Jul 30.
Publication Type: Journal Article
Journal Info: Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-501X
DOI:10.1007/s11030-026-11682-4