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Protein Function Prediction pp 59–73Cite as

Predicting Secretory Proteins with SignalP

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1611))

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.

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Acknowledgments

Heartfelt thanks go to all coauthors on the SignalP papers though the years: Søren Brunak, Jacob Engelbrecht, Gunnar von Heijne, Anders Krogh, Jannick Dyrløv Bendtsen, and Thomas Nordahl Petersen. In addition, I wish to thank the people who helped in implementing the website and still work on keeping it up and running: Kristoffer Rapacki, Hans Henrik Stærfeldt, and Peter Wad Sackett.

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Authors and Affiliations

  1. Department of Bio and Health Informatics, Technical University of Denmark, Kemitorvet, Bldg., 208, 3500 Kgs., Lyngby, Denmark

    Henrik Nielsen

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  1. Henrik Nielsen
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Correspondence to Henrik Nielsen .

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Editors and Affiliations

  1. Department of Biological Sciences and Computer Science, Purdue University, West Lafayette, Indiana, USA

    Daisuke Kihara

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Nielsen, H. (2017). Predicting Secretory Proteins with SignalP. In: Kihara, D. (eds) Protein Function Prediction. Methods in Molecular Biology, vol 1611. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7015-5_6

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  • DOI: https://doi.org/10.1007/978-1-4939-7015-5_6

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7013-1

  • Online ISBN: 978-1-4939-7015-5

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