Prediction of lipoprotein signal peptides in Gram‐negative bacteria

By Agnieszka Sierakowska Juncker, Hanni Willenbrock, G. von Heijne, Søren Brunak, Henrik Nielsen, Anders Krogh. Protein Science, 2003

1,124 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/14150cd62035738bb151d519639caa4a2fb68461

How researchers see this paper

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In Molecular Biology

1. L. Aravind
2. Henrik Nielsen
3. Martin Madera
4. Julian Gough
5. Sean R. Eddy
6. Kuo-Chen Chou

Citations in the corpus

• A Database of Bacterial Lipoproteins (DOLOP) with Functional Assignments to Predicted Lipoproteins (2006, methodology): “Predictive rules that work better for gram-positive bacterial lipoproteins were proposed as G (cid:1) LPP (53), and recently a trained set of predictive rules was used and an algorithm called LipoP (28) was proposed to predict membrane proteins, lipoproteins, and cellular proteins by looking for sig”
• Specificity of polysaccharide use in intestinal Bacteroides species determines diet-induced microbiota alterations (2010, neutral): “…preceding three residues displaying similarity to the consensus lipobox sequence, suggests the HTCS are anchored to the inner membrane via a lipid linkage, despite lacking the aspartate at position +2 from the linked cysteine normally required for inner membrane localization (Juncker et al., 2003).”
• Predicting Secretory Proteins with SignalP. (2017, methodology): “For prediction of prokaryotic lipoproteins we recommend using the LipoP server [49, 50].”