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IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug-Target Interaction Prediction.

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Title: IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug-Target Interaction Prediction.
Authors: Zhang Y; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China. yyzhang1217@163.com., Wang Q; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China., Zhang C; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China., Feng B; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China., Shang J; School of Information Science and Engineering, Qufu Normal University, Rizhao, 276800, China., Zhang L; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China.
Source: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2026 Jun; Vol. 18 (2), pp. 687-701. Date of Electronic Publication: 2025 May 12.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China. yyzhang1217@163.com.<br /><searchLink fieldCode="AU" term="%22Wang+Q%22">Wang Q</searchLink>; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China.<br /><searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China.<br /><searchLink fieldCode="AU" term="%22Feng+B%22">Feng B</searchLink>; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China.<br /><searchLink fieldCode="AU" term="%22Shang+J%22">Shang J</searchLink>; School of Information Science and Engineering, Qufu Normal University, Rizhao, 276800, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China.
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  Data: <searchLink fieldCode="JN" term="%22101515919%22">Interdisciplinary sciences, computational life sciences</searchLink> [Interdiscip Sci] 2026 Jun; Vol. 18 (2), pp. 687-701. <i>Date of Electronic Publication: </i>2025 May 12.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag%22">Springer-Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101515919 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1867-1462 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218671462%22">18671462 </searchLink><i>NLM ISO Abbreviation: </i>Interdiscip Sci <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s12539-025-00712-8
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      – Code: eng
        Text: English
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      – TitleFull: IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug-Target Interaction Prediction.
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              Text: 2026 Jun
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            – TitleFull: Interdisciplinary sciences, computational life sciences
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