Semantic Scholar uses AI to extract papers important to this topic.
Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target… Expand SignalP is the currently most widely used program for prediction of signal peptides from amino acid sequences. Proteins with… Expand We benchmarked SignalP 4.0 against SignalP 3.0 and ten other signal peptide prediction algorithms (Fig. 1). We compared… Expand Hydroxyproline-rich glycoproteins (HRGPs) are a superfamily of plant cell wall proteins that function in diverse aspects of plant… Expand MOTIVATION
We analysed 148 human drug target proteins and 3573 non-drug targets to identify differences in their properties and… Expand Determining the subcellular localization of a protein is an important first step toward understanding its function. Here, we… Expand MOTIVATION
Anchoring of proteins to the extracytosolic leaflet of membranes via C-terminal attachment of… Expand We describe improvements of the currently most popular method for prediction of classically secreted proteins, SignalP. SignalP… Expand An inherent problem in transmembrane protein topology prediction and signal peptide prediction is the high similarity between the… Expand Prediction of protein sorting signals from the sequence of amino acids has great importance in the field of proteomics today… Expand