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Mendeley readers
Chapter title |
Predicting Secretory Proteins with SignalP
|
---|---|
Chapter number | 6 |
Book title |
Protein Function Prediction
|
Published in |
Methods in molecular biology, April 2017
|
DOI | 10.1007/978-1-4939-7015-5_6 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7013-1, 978-1-4939-7015-5
|
Authors |
Henrik Nielsen, Nielsen, Henrik |
Editors |
Daisuke Kihara |
Abstract |
SignalP is the currently most widely used program for prediction of signal peptides from amino acid sequences. Proteins with signal peptides are targeted to the secretory pathway, but are not necessarily secreted. After a brief introduction to the biology of signal peptides and the history of signal peptide prediction, this chapter will describe all the options of the current version of SignalP and the details of the output from the program. The chapter includes a case study where the scores of SignalP were used in a novel way to predict the functional effects of amino acid substitutions in signal peptides. |
Mendeley readers
The data shown below were compiled from readership statistics for 509 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 509 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 108 | 21% |
Student > Master | 73 | 14% |
Researcher | 64 | 13% |
Student > Bachelor | 64 | 13% |
Student > Doctoral Student | 22 | 4% |
Other | 54 | 11% |
Unknown | 124 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 165 | 32% |
Agricultural and Biological Sciences | 129 | 25% |
Immunology and Microbiology | 24 | 5% |
Medicine and Dentistry | 7 | 1% |
Environmental Science | 7 | 1% |
Other | 34 | 7% |
Unknown | 143 | 28% |