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

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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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PubType: Academic Journal
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  Data: MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning.
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  Data: <searchLink fieldCode="AU" term="%22Zhang+ZZ%22">Zhang ZZ</searchLink>; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China.<br /><searchLink fieldCode="AU" term="%22Chen+SR%22">Chen SR</searchLink>; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China.<br /><searchLink fieldCode="AU" term="%22Yu+SB%22">Yu SB</searchLink>; College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China.<br /><searchLink fieldCode="AU" term="%22Xia+J%22">Xia J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lin+KB%22">Lin KB</searchLink>; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China.<br /><searchLink fieldCode="AU" term="%22Yang+F%22">Yang F</searchLink>; Department of Automation, Xiamen University, Xiamen 361005, China.; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361102, China.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101230060 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1549-960X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215499596%22">15499596 </searchLink><i>NLM ISO Abbreviation: </i>J Chem Inf Model <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1021/acs.jcim.5c00913
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      – Code: eng
        Text: English
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      – TitleFull: MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning.
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            NameFull: Zhang ZZ
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            NameFull: Chen SR
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            NameFull: Xia J
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            NameFull: Lin KB
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            – D: 14
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              Text: 2025 Jul 14
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              Value: 65
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              Value: 13
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            – TitleFull: Journal of chemical information and modeling
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