@inbook{5376aa32c2e64f308b4e620b5344b6f1,
title = "Protein Sorting Prediction",
abstract = "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.",
keywords = "Protein Transport, Machine learning, Prediction, Protein sorting, Secretion, Subcellular location, Transmembrane proteins",
author = "Henrik Nielsen",
year = "2024",
doi = "10.1007/978-1-0716-3445-5_2",
language = "English",
volume = "2715",
series = "Methods in molecular biology (Clifton, N.J.)",
publisher = "Springer",
pages = "27--63",
booktitle = "Bacterial Secretion Systems",
edition = "2",
}