MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning.

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Bibliographic Details
Title: MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning.
Authors: Zhang ZZ; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China., Chen SR; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China., Yu SB; College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China., Xia J; State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China., Lin KB; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China., Yang F; Department of Automation, Xiamen University, Xiamen 361005, China.; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361102, China.
Source: Journal of chemical information and modeling [J Chem Inf Model] 2025 Jul 14; Vol. 65 (13), pp. 7285-7301. Date of Electronic Publication: 2025 Jun 20.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE
Database: MEDLINE Ultimate
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