NucPred Predicting nuclear localization of proteins

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@Article{NucPred-bioinformatics2007,
  author =       "Markus Brameier and Andrea Krings and 
                 Robert M. MacCallum",
  title =        "{NucPred} Predicting nuclear localization of
                 proteins",
  journal =      "Bioinformatics",
  year =         "2007",
  volume =       "23",
  number =       "9",
  pages =        "1159--1160",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1093/bioinformatics/btm066",
  size =         "2 pages",
  abstract =     "NucPred analyses patterns in eukaryotic protein
                 sequences and predicts if a protein spends at least
                 some time in the nucleus or no time at all. Subcellular
                 location of proteins represents functional information,
                 which is important for understanding protein
                 interactions, for the diagnosis of human diseases and
                 for drug discovery. NucPred is a novel web tool based
                 on regular expression matching and multiple program
                 classifiers induced by genetic programming. A
                 likelihood score is derived from the programs for each
                 input sequence and each residue position. Different
                 forms of visualisation are provided to assist the
                 detection of nuclear localisation signals (NLSs). The
                 NucPred server also provides access to additional
                 sources of biological information (real and predicted)
                 for a better validation and interpretation of
                 results.

                 Availability: The web interface to the NucPred tool is
                 provided at http://www.sbc.su.se/~maccallr/nucpred. In
                 addition, the Perl code is made freely available under
                 the GNU Public Licence (GPL) for simple incorporation
                 into other tools and web servers.",
  notes =        "PMID: 17332022 [PubMed - indexed for MEDLINE]",
}

Genetic Programming entries for Markus Brameier Andrea Krings Robert M MacCallum

Citations