Nielsen Henrik
Technical University of Denmark, Kemitorvet, Building 208, DK-2800, Kgs. Lyngby, Denmark.
Methods Mol Biol. 2017;1615:23-57. doi: 10.1007/978-1-4939-7033-9_2.
Many computational methods are available for predicting protein sorting in bacteria. When comparing them, it is important to know that they can be grouped into three fundamentally different approaches: signal-based, global-property-based and homology-based prediction. In this chapter, the strengths and drawbacks of each of these approaches is described through many examples of methods that predict secretion, integration into membranes, or subcellular locations in general. The aim of this chapter is to provide a user-level introduction to the field with a minimum of computational theory.
有许多计算方法可用于预测细菌中的蛋白质分选。在比较这些方法时,重要的是要知道它们可分为三种根本不同的方法:基于信号的、基于全局属性的和基于同源性的预测。在本章中,通过许多预测分泌、整合到膜中或一般亚细胞定位的方法示例,描述了每种方法的优缺点。本章的目的是用最少的计算理论为该领域提供用户级别的介绍。