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AI-Driven Design Platforms of Next-Generation Antibody Therapeutics.

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Title: AI-Driven Design Platforms of Next-Generation Antibody Therapeutics.
Authors: Wang Y; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China., Saba A; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China., Ran Y; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China., Shehzadi K; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China., Zhang Q; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China. zhangqi@bit.edu.cn., Liang J; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China. ljhbit@bit.edu.cn., Yu M; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China. 6120210204@bit.edu.cn.
Source: Topics in current chemistry (Cham) [Top Curr Chem (Cham)] 2026 Jun 30; Vol. 384 (3). Date of Electronic Publication: 2026 Jun 30.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer Country of Publication: Switzerland NLM ID: 101691301 Publication Model: Electronic Cited Medium: Internet ISSN: 2364-8961 (Electronic) Linking ISSN: 23648961 NLM ISO Abbreviation: Top Curr Chem (Cham) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: AI-Driven Design Platforms of Next-Generation Antibody Therapeutics.
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  Data: <searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China.<br /><searchLink fieldCode="AU" term="%22Saba+A%22">Saba A</searchLink>; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China.<br /><searchLink fieldCode="AU" term="%22Ran+Y%22">Ran Y</searchLink>; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China.<br /><searchLink fieldCode="AU" term="%22Shehzadi+K%22">Shehzadi K</searchLink>; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Q%22">Zhang Q</searchLink>; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China. zhangqi@bit.edu.cn.<br /><searchLink fieldCode="AU" term="%22Liang+J%22">Liang J</searchLink>; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China. ljhbit@bit.edu.cn.<br /><searchLink fieldCode="AU" term="%22Yu+M%22">Yu M</searchLink>; Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 10081, China. 6120210204@bit.edu.cn.
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        Value: 10.1007/s41061-026-00554-y
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      – TitleFull: AI-Driven Design Platforms of Next-Generation Antibody Therapeutics.
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              Text: 2026 Jun 30
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