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LipoSVM: Prediction of Lysine Lipoylation in Proteins based on the Support Vector Machine

机译:LipoSVM:基于支持向量机的蛋白质中赖氨酸脂酰化的预测

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摘要

Lysine lipoylation which is a rare and highly conserved post-translational modification of proteins has been considered as one of the most important processes in the biological field. To obtain a comprehensive understanding of regulatory mechanism of lysine lipoylation, the key is to identify lysine lipoylated sites. The experimental methods are expensive and laborious. Due to the high cost and complexity of experimental methods, it is urgent to develop computational ways to predict lipoylation sites.
机译:赖氨酸脂酰化是蛋白质的一种罕见且高度保守的翻译后修饰,已经被认为是生物领域中最重要的过程之一。为了全面了解赖氨酸脂酰化的调控机制,关键是确定赖氨酸脂酰化位点。实验方法昂贵且费力。由于实验方法的高成本和复杂性,迫切需要开发预测脂酰化位点的计算方法。

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