Predicts malonyllysine sites from protein primary sequences. Mal-Lys is a predictor which incorporates residue sequence order information, position-specific amino acid propensity and physicochemical properties was proposed. It can be helpful for a better understanding of lysine malonylation and a useful tool to identify potential lysine malonylation sites in proteins for further experimental consideration.

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Mal-Lys classification

Mal-Lys specifications

Software type:
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Programming languages:
Web user interface
Input data:
Query protein sequences
Output format:
A tabular format
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  • (Xu et al., 2016) Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection. Sci Rep.
    PMID: 27910954


Department of Information and Computer Science, University of Science and Technology Beijing, Beijing, China; Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China; Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China

Funding source(s)

This work was supported by grants from the Natural Science Foundation of China (11301024, 11671032, 31671360, 81272578, and J1103514), National Basic Research Program (973 project) (2013CB933900), the Fundamental Research Funds for the Central Universities (No. FRF-BR-15–029A, No. FRF-BR-15-075A), and International Science & Technology Cooperation Program of China (2014DFB30020).

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