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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.
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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PubType: Academic Journal
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  Data: KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representations.
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  Data: <searchLink fieldCode="AU" term="%22Jiao+S%22">Jiao S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ao+C%22">Ao C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zou+Q%22">Zou Q</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Yang+H%22">Yang H</searchLink>; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China. huanyang@csj.uestc.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22101190720%22">BMC biology</searchLink> [BMC Biol] 2026 May 19; Vol. 24 (1). <i>Date of Electronic Publication: </i>2026 May 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101190720 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-7007 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217417007%22">17417007 </searchLink><i>NLM ISO Abbreviation: </i>BMC Biol <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12915-026-02636-1
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      – Code: eng
        Text: English
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      – TitleFull: KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representations.
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              Text: 2026 May 19
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              Y: 2026
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