SplitSeek-Pro: accurate prediction of splittable sites on protein structures.

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Title: SplitSeek-Pro: accurate prediction of splittable sites on protein structures.
Authors: Wang YX; Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, P. R. China.; Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Peking University, Beijing, P. R. China.; Center for Soft Matter Science and Engineering, Peking University, Beijing, P. R. China.; College of Chemistry and Molecular Engineering, Peking University, Beijing, P. R. China., Jiang F; Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, P. R. China.; Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Peking University, Beijing, P. R. China.; Center for Soft Matter Science and Engineering, Peking University, Beijing, P. R. China.; College of Chemistry and Molecular Engineering, Peking University, Beijing, P. R. China., Xu T; Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, P. R. China.; Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Peking University, Beijing, P. R. China.; Center for Soft Matter Science and Engineering, Peking University, Beijing, P. R. China.; College of Chemistry and Molecular Engineering, Peking University, Beijing, P. R. China., Xing LX; Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, P. R. China.; Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Peking University, Beijing, P. R. China.; Center for Soft Matter Science and Engineering, Peking University, Beijing, P. R. China.; College of Chemistry and Molecular Engineering, Peking University, Beijing, P. R. China., Liu Y; Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, P. R. China.; Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Peking University, Beijing, P. R. China.; Center for Soft Matter Science and Engineering, Peking University, Beijing, P. R. China.; College of Chemistry and Molecular Engineering, Peking University, Beijing, P. R. China., Nie Z; School of Electronic and Computer Engineering, Peking University, Shenzhen, P. R. China.; Pengcheng Laboratory, Shenzhen, P. R. China.; AI for Science (AI4S)-Preferred Program, Shenzhen Graduate School, Peking University, Shenzhen, P. R. China., Chen J; School of Electronic and Computer Engineering, Peking University, Shenzhen, P. R. China.; Pengcheng Laboratory, Shenzhen, P. R. China.; AI for Science (AI4S)-Preferred Program, Shenzhen Graduate School, Peking University, Shenzhen, P. R. China., Zhang WB; Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, P. R. China. wenbin@pku.edu.cn.; Key Laboratory of Polymer Chemistry & Physics of Ministry of Education, Peking University, Beijing, P. R. China. wenbin@pku.edu.cn.; Center for Soft Matter Science and Engineering, Peking University, Beijing, P. R. China. wenbin@pku.edu.cn.; College of Chemistry and Molecular Engineering, Peking University, Beijing, P. R. China. wenbin@pku.edu.cn.; AI for Science (AI4S)-Preferred Program, Shenzhen Graduate School, Peking University, Shenzhen, P. R. China. wenbin@pku.edu.cn.
Source: Nature communications [Nat Commun] 2026 Jun 18. Date of Electronic Publication: 2026 Jun 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2041-1723
DOI:10.1038/s41467-026-74059-z