SPEPLip – Predictor of Signal Peptide and Lipoprotein Cleavage Sites in Proteins

SPEPLip

:: DESCRIPTION

SPEPlip is a neural network-based method, trained and tested on a set of experimentally derived signal peptides from eukaryotes and prokaryotes. SPEPlip identifies the presence of sorting signals and predicts their cleavage sites.

::DEVELOPER

Bologna Biocomputing Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Perl
  • C Compiler

:: DOWNLOAD

 SPEPLip

:: MORE INFORMATION

Citation

Bioinformatics. 2003 Dec 12;19(18):2498-9.
SPEPlip: the detection of signal peptide and lipoprotein cleavage sites.
Fariselli P, Finocchiaro G, Casadio R.

LipoP 1.0a – Prediction of Lipoproteins & Signal Peptides in Gram Negative Bacteria

LipoP 1.0a

:: DESCRIPTION

LipoP produces predictions of lipoproteins and discriminates between lipoprotein signal peptides, other signal peptides and n-terminal membrane helices in Gram-negative bacteria.

::DEVELOPER

CBS (Center for Biological Sequence Analysis),  Technical University of Denmark

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

LipoP

:: MORE INFORMATION

Citation

Methods for the bioinformatic identification of bacterial lipoproteins encoded in the genomes of Gram-positive bacteria
O. Rahman, S. P. Cummings, D. J. Harrington and I. C. Sutcliffe
World Journal of Microbiology and Biotechnology 24(11):2377-2382 (2008)