翻译后修饰的计算机模拟预测

In silico prediction of post-translational modifications.

作者信息

Liu Chunmei, Li Hui

机构信息

Department of Systems and Computer Science, Howard University, Washington, DC, USA.

出版信息

Methods Mol Biol. 2011;760:325-40. doi: 10.1007/978-1-61779-176-5_20.

DOI:10.1007/978-1-61779-176-5_20

PMID:21780006

Abstract

Methods for predicting protein post-translational modifications have been developed extensively. In this chapter, we review major post-translational modification prediction strategies, with a particular focus on statistical and machine learning approaches. We present the workflow of the methods and summarize the advantages and disadvantages of the methods.

摘要

预测蛋白质翻译后修饰的方法已得到广泛发展。在本章中，我们回顾主要的翻译后修饰预测策略，特别关注统计和机器学习方法。我们介绍这些方法的工作流程，并总结这些方法的优缺点。