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Occurence of potentially GPI modified proteins in plants

Birgit Eisenhaber (IMP/Austria)
Michael Wildpaner (IMP/Austria)
Frank Eisenhaber (IMP/Austria)
Carolyn Schultz (University of Adelaide/Australia)
Paul Dupree and Georg Borner (University of Cambridge/UK)

Link to the big-PI Plant Predictor

Data sheets: Learning set and prediction results

  1. Derivation of motif properties

  2. Comparison with amino acid property scales
    Analysis of volume compensation in the omega-site region

  3. Details of prediction method derivation and validation

  4. Prediction function parametrization
    The plant learning set - a list of 219 proteins
    The self-consistency-test of the plant learning set
    Problem with COBRA-like CAA74765.1 protein - alignment of the COBRA-family
    The jack-knife-test I over the whole plant learning set
    The jack-knife-test II over the largest subset of non-homologous sequences only

  5. Prediction results: Occurence of potentially GPI modified proteins in

  6. the Arabidopsis thaliana genome (June 2002)
    the Oryza sativa genome (June 2002)
    the SPTrEMBL database (July 2002, pln.dat)
    the SWISSPROT database (rel. 40, Viridiplantae)

  7. Functional classification of

  8. Arabidopsis thaliana hits
    Oryza sativa hits

  9. Comparison with previous published data

  10. comparison with A.thaliana protein lists created by Borner GHH et al. (2002, 2003)


The protein sequences for the complete genomes were taken from the following web-pages:

Arabidopsis thaliana:
Oryza sativa:

Last modified: 7th March 2003