A comparison of signal sequence prediction methods using a test set of signal peptides

Keywords

Signal peptide, SIGNAL (programming language), Set (abstract data type), Sequence (biology), Test set

References

• On the predictive recognition of signal peptide sequences.Duncan J. McGeoch — 1985
• The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000Amos Bairoch, Rolf Apweiler — 2000
• The SWISS-PROT protein sequence data bank and its supplement TrEMBLAmos Bairoch, Rolf Apweiler — 1997
• Machine learning approaches for the prediction of signal peptides and other protein sorting signals.Henrik Nielsen, Søren Brunak, Gunnar von Heijne — 1999
• A new method for predicting signal sequence cleavage sites.Gunnar von Heijne — 1986
• Prediction of Signal Peptides and Signal Anchors by a Hidden Markov ModelHenrik Nielsen, Anders Krogh — 1998
• SHORT COMMUNICATION Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sitesHenrik Nielsen, J. Engelbrecht, S. Brunak — 1997

Cited by

• Human secretory signal peptide description by hidden Markov model and generation of a strong artificial signal peptide for secreted protein expression.Juan Antonio García Galindo — 2002
• Identification of essential amino acids in Humanin, a neuroprotective factor against Alzheimer's disease-relevant insults.M. Sukuta — 2003
• Structure-Related Statistical Singularities along Protein Sequences: A Correlation Study容元 金 — 2005
• Evaluation of text-mining systems for biology: overview of the Second BioCreative community challengeDorothy Carey, Glenise Perraton, Kim Weston — 2008
• Fusion of Conditional Random Field and SignalP for Protein Cleavage Site PredictionMan‐Wai Mak, Wei Wang, Sun Yuan Kung — 2009
• MemO: A Consensus Approach to the Annotation of a Protein's Membrane OrganizationMelissa J. Davis, Fasheng Zhang, Zheng Yuan — 2006
• Comparative genomics for studying the proteomes of mucosal microorganismsSirintra Nakjang — 2011
• Novel phospholipases A of Pseudomonas aeruginosa: biochemical characterisation and cellular localisationFilip Kovačić — 2011
• Evaluating Transmembrane Topology Prediction Methods for the Effect of Signal Peptide in Topology PredictionDemelo M. Lao, Toshikatsu Okuno, Toshio Shimizu — 2002
• Evaluating eukaryotic secreted protein predictionEric W. Klee, Lynda B.M. Ellis — 2005
• Genome-scale prediction of protein subcellular location in bacteria, with focus on extracellular and surface-associated proteins.Miaomiao Zhou — 2011
• CHARACTERISATION, RECOMBINANT EXPRESSION AND IMMUNOGENICITY OF BHLP29.7, AN OUTER MEMBRANE LIPOPROTEIN OF BRACHYSPIRA HYODYSENTERIAETom La — 2006
• Graphical representation and mathematical characterization of protein sequences and applications to viral proteinsAmbarnil Ghosh, Ashesh Nandy — 2011
• SPdb – a signal peptide databaseKhar Heng Choo, Tin Wee Tan, Shoba Ranganathan — 2005
• Methods for Detecting the Signal Peptide in Transmembrane and Globular ProteinsDemelo M. Lao, Toshio Shimizu — 2001
• Mining the secretome of root-knot nematodes for cell wall modifying proteinsE.H.A. Roze — 2008
• Evaluating signal peptide prediction methods for Gram-positive bacteriaXiaohui Zhang, Yudang Li, Yan Li — 2009
• Immuno‐informatics: Mining genomes for vaccine componentsAnne S. De Groot, Hakima Sbai, Caitlin Saint Aubin — 2002
• Comprehensive proteome analysis of Actinoplanes sp. SE50/110 highlighting the location of proteins encoded by the acarbose and the pyochelin biosynthesis gene cluster.Sergej Wendler, Andreas Otto, Vera Ortseifen — 2015
• Automatic prediction of protein functionKazimierz O. Wrzeszczyński, Y. Ofran, Burkhard Rost — 2003

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