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- W3141034732 abstract "A glycosylphosphatidylinositol(GPI)anchor is a common but complex C-terminal post-translational modification of extracellular proteins in eukaryotes.Here we investigate the problem of correctly annotating GPI-anchored proteins for the growing number of sequences in public databases.We developed a computa- tional system,called FragAnchor,based on the tandem use of a neural net- work(NN)and a hidden Markov model(HMM).Firstly,NN selects potential GPI-anchored proteins in a dataset,then HMM parses these potential GPI sig- nals and refines the prediction by qualitative scoring.FragAnchor correctly pre- dicted 91% of all the GPI-anchored proteins annotated in the Swiss-Prot database. In a large-scale analysis of 29 eukaryote proteomes,FragAnchor predicted that the percentage of highly probable GPI-anchored proteins is between 0.21% and 2.01%.The distinctive feature of FragAnchor,compared with other systems, is that it targets only the C-terminus of a protein,making it less sensitive to the background noise found in databases and possible incomplete protein se- quences.Moreover,FragAnchor can be used to predict GPI-anchored proteins in all eukaryotes.Finally,by using qualitative scoring,the predictions combine both sensitivity and information content.The predictor is publicly available at http://navet.ics.hawaii.edu/～fraganchor/NNHMM/NNHMM.html." @default.
- W3141034732 created "2021-04-13" @default.
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- W3141034732 date "2007-01-01" @default.
- W3141034732 modified "2023-09-27" @default.
- W3141034732 title "FragAnchor:A Large-Scale Predictor of Glycosylphosphatidylinositol Anchors in Eukaryote Protein Sequences by Qualitative Scoring" @default.
- W3141034732 hasPublicationYear "2007" @default.
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