分类
计算机科学
财产(哲学)
蛋白质靶向
人工智能
计算生物学
排序算法
领域(数学)
鉴定(生物学)
机器学习
理论计算机科学
算法
生物
膜蛋白
数学
膜
生态学
哲学
认识论
纯数学
遗传学
标识
DOI:10.1007/978-1-0716-3445-5_2
摘要
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 are 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.
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