KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representations.
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| Title: | KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representations. |
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| Authors: | Jiao S; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China., Ao C; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China., Zou Q; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China., Yang H; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China. huanyang@csj.uestc.edu.cn. |
| Source: | BMC biology [BMC Biol] 2026 May 19; Vol. 24 (1). Date of Electronic Publication: 2026 May 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101190720 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7007 (Electronic) Linking ISSN: 17417007 NLM ISO Abbreviation: BMC Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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