ArticleBioinformation2006
LIPPRED: A web server for accurate prediction of lipoprotein signal sequences and cleavage sites.
Article in Bioinformation, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 23 citations in OpenAlex.
- FunctionAnnotator, a versatile and efficient web tool for non-model organism annotation.Scientific reports · 2017Article
- Evaluation of Staphylococcus aureus Lipoproteins: Role in Nutritional Acquisition and Pathogenicity.Frontiers in microbiology · 2016Article
- Characterization of tetratricopeptide repeat-like proteins in Francisella tularensis and identification of a novel locus required for virulence.Infection and immunity · 2014Article
- Article
- LIPOPREDICT: bacterial lipoprotein prediction server.Bioinformation · 2012Article
- Genomic and proteomic characterization of the broad-host-range Salmonella phage PVP-SE1: creation of a new phage genus.Journal of virology · 2011Article
- Computer aided selection of candidate vaccine antigens.Immunome research · 2010Article
- The dissemination of C10 cysteine protease genes in Bacteroides fragilis by mobile genetic elements.BMC microbiology · 2010Article
- Genome sequence of Streptococcus gallolyticus: insights into its adaptation to the bovine rumen and its ability to cause endocarditis.Journal of bacteriology · 2010Article
- CoBaltDB: Complete bacterial and archaeal orfeomes subcellular localization database and associated resources.BMC microbiology · 2010Article
- Surfome analysis as a fast track to vaccine discovery: identification of a novel protective antigen for Group B Streptococcus hypervirulent strain COH1.Molecular & cellular proteomics : MCP · 2009Article
- Flanking signal and mature peptide residues influence signal peptide cleavage.BMC bioinformatics · 2008Article
- Phytoplasmas: bacteria that manipulate plants and insects.Molecular plant pathology · 2008Article
- Combining algorithms to predict bacterial protein sub-cellular location: Parallel versus concurrent implementations.Bioinformation · 2006Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial lipoproteins have many important functions and represent a class of possible vaccine candidates. The prediction of lipoproteins from sequence is thus an important task for computational vaccinology. Naïve-Bayesian networks were trained to identify SpaseII cleavage sites and their preceding signal sequences using a set of 199 distinct lipoprotein sequences. A comprehensive range of sequence models was used to identify the best model for lipoprotein signal sequences. The best performing sequence model was found to be 10-residues in length, including the conserved cysteine lipid attachment site and the nine residues prior to it. The sensitivity of prediction for LipPred was 0.979, while the specificity was 0.742. Here, we describe LipPred, a web server for lipoprotein prediction; available at the URL: http://www.jenner.ac.uk/LipPred/. LipPred is the most accurate method available for the detection of SpaseIIcleaved lipoprotein signal sequences and the prediction of their cleavage sites.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.