Predicting lysine‐malonylation sites of proteins using sequence and predicted structural features

Malonylation is a recently discovered post‐translational modification (PTM) in which a malonyl group attaches to a lysine (K) amino acid residue of a protein. In this work, a novel machine learning model, SPRINT‐Mal, is developed to predict malonylation sites by employing sequence and predicted stru...

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Veröffentlicht in:	Journal of computational chemistry 2018-08, Vol.39 (22), p.1757-1763
Hauptverfasser:	Taherzadeh, Ghazaleh, Yang, Yuedong, Xu, Haodong, Xue, Yu, Liew, Alan Wee‐Chung, Zhou, Yaoqi
Format:	Artikel
Sprache:	eng
Schlagworte:	Bacteria Correlation coefficient Correlation coefficients Lysine lysine‐malonylation sites prediction Machine learning Physicochemical properties post translational modification Predictions Proteins support vector machines
Online-Zugang:	Volltext
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