Protein Sorting Prediction

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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 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.
Original languageEnglish
Title of host publication Bacterial Protein Secretion Systems: Methods and Protocols
Number of pages35
Volume1615
PublisherSpringer
Publication date2017
Pages23-57
Chapter2
DOIs
Publication statusPublished - 2017
SeriesMethods in Molecular Biology
ISSN1064-3745

Keywords

  • Machine learning
  • Prediction
  • Protein sorting
  • Secretion
  • Subcellular location
  • Transmembrane proteins

Cite this

Nielsen, H. (2017). Protein Sorting Prediction. In Bacterial Protein Secretion Systems: Methods and Protocols (Vol. 1615, pp. 23-57). Springer. Methods in Molecular Biology https://doi.org/10.1007/978-1-4939-7033-9_2
Nielsen, Henrik. / Protein Sorting Prediction. Bacterial Protein Secretion Systems: Methods and Protocols. Vol. 1615 Springer, 2017. pp. 23-57 (Methods in Molecular Biology).
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Nielsen, H 2017, Protein Sorting Prediction. in Bacterial Protein Secretion Systems: Methods and Protocols. vol. 1615, Springer, Methods in Molecular Biology, pp. 23-57. https://doi.org/10.1007/978-1-4939-7033-9_2

Protein Sorting Prediction. / Nielsen, Henrik.

Bacterial Protein Secretion Systems: Methods and Protocols. Vol. 1615 Springer, 2017. p. 23-57 (Methods in Molecular Biology).

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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N2 - 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.

AB - 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.

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KW - Secretion

KW - Subcellular location

KW - Transmembrane proteins

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DO - 10.1007/978-1-4939-7033-9_2

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BT - Bacterial Protein Secretion Systems: Methods and Protocols

PB - Springer

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Nielsen H. Protein Sorting Prediction. In Bacterial Protein Secretion Systems: Methods and Protocols. Vol. 1615. Springer. 2017. p. 23-57. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-4939-7033-9_2