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SignalP Algorithm

Known as: SignalP 
An algorithm that predicts the presence and location of signal peptide cleavage sites in amino acid sequences. It incorporates a prediction of… Expand
National Institutes of Health

Papers overview

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Highly Cited
2019
Highly Cited
2019
Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target… Expand
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Highly Cited
2017
Highly Cited
2017
  • H. Nielsen
  • Methods in molecular biology
  • 2017
  • Corpus ID: 217229150
SignalP is the currently most widely used program for prediction of signal peptides from amino acid sequences. Proteins with… Expand
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Highly Cited
2011
Highly Cited
2011
We benchmarked SignalP 4.0 against SignalP 3.0 and ten other signal peptide prediction algorithms (Fig. 1). We compared… Expand
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Highly Cited
2011
Highly Cited
2011
Regular physical activity protects against several types of diseases. This may involve altered secretion of signaling proteins… Expand
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Highly Cited
2010
Highly Cited
2010
Hydroxyproline-rich glycoproteins (HRGPs) are a superfamily of plant cell wall proteins that function in diverse aspects of plant… Expand
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Highly Cited
2009
Highly Cited
2009
MOTIVATION We analysed 148 human drug target proteins and 3573 non-drug targets to identify differences in their properties and… Expand
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Highly Cited
2007
Highly Cited
2007
Determining the subcellular localization of a protein is an important first step toward understanding its function. Here, we… Expand
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Highly Cited
2004
Highly Cited
2004
We describe improvements of the currently most popular method for prediction of classically secreted proteins, SignalP. SignalP… Expand
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Highly Cited
2004
Highly Cited
2004
An inherent problem in transmembrane protein topology prediction and signal peptide prediction is the high similarity between the… Expand
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Highly Cited
2000
Highly Cited
2000
We describe the creation of a test set containing secretory and non-secretory proteins. Five existing prediction programs for… Expand
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