Predicting Secretory Proteins with SignalP.

@article{Nielsen2017PredictingSP,
  title={Predicting Secretory Proteins with SignalP.},
  author={Henrik Bj{\o}rn Nielsen},
  journal={Methods in molecular biology},
  year={2017},
  volume={1611},
  pages={
          59-73
        }
}
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… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 151 CITATIONS, ESTIMATED 88% COVERAGE

Sunflower resistance to multiple downy mildew pathotypes revealed by recognition of conserved effectors of the oomycete Plasmopara halstedii

  • The Plant journal : for cell and molecular biology
  • 2019
VIEW 3 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Bacterial nanocellulose production from naphthalene

VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2017
2019

CITATION STATISTICS

  • 35 Highly Influenced Citations

  • Averaged 50 Citations per year from 2017 through 2019

  • 18% Increase in citations per year in 2019 over 2018

References

Publications referenced by this paper.
SHOWING 1-10 OF 54 REFERENCES

D-4128-2011 - ResearcherID.com

Henrik Nielsen
  • http://www.researcherid.com/rid/D-4128-2011. Accessed
  • 2016
VIEW 1 EXCERPT

The twin-arginine protein translocation pathway.

  • Annual review of biochemistry
  • 2015
VIEW 1 EXCERPT