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Mendeley readers
Chapter title |
Protein Sorting Prediction
|
---|---|
Chapter number | 2 |
Book title |
Bacterial Protein Secretion Systems
|
Published in |
Methods in molecular biology, July 2017
|
DOI | 10.1007/978-1-4939-7033-9_2 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7031-5, 978-1-4939-7033-9
|
Authors |
Henrik Nielsen |
Editors |
Laure Journet, Eric Cascales |
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. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 15% |
Researcher | 2 | 15% |
Student > Doctoral Student | 2 | 15% |
Student > Master | 2 | 15% |
Lecturer > Senior Lecturer | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 38% |
Computer Science | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Materials Science | 1 | 8% |
Unknown | 5 | 38% |