fragAnchor | GPI-DB


FragAnchor: GPI-Anchored Protein Prediction Tandem System (NN+HMM)


IMPORTANT: FRAGANCHOR IS NOT MAINTAINED ANYMORE.

FragAnchor is based on the tandem use of a Neural Network predictor and a Hidden Markov Model predictor. The Neural Network is used to select the potential GPI-anchored sequences and the Hidden Markov Model classifies the selected sequences according to four different levels of precision (highly probable, probable, weakly probable, potential false positive). The Hidden Markov Model proposes also up to three possible locations for the anchor/cleavage site.


FragAnchor Put your fasta sequence(s) here [Input format]:

Note: FragAnchor only uses the 20 standard amino acids.

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References

Poisson G, Chauve C, Chen X, Bergeron A. FragAnchor a large scale all Eukaryota predictor of Glycosylphosphatidylinositol-anchor in protein sequences by qualitative scoring. Genomics, Proteomics & Bioinformatics. 2007 May;5(2):121-30.

Paper citing fragAnchor

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Supporting Online Material from the paper

  • Training and Test data
  • Intergr8 proteomes analysis in GPI-DB