Identification of GPI anchor attachment signals by a Kohonen self-organizing map | Zendy

Niklaus Fankhauser | Zendy; Pascal Mäser | Zendy

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Identification of GPI anchor attachment signals by a Kohonen self-organizing map

Author(s) -

Niklaus Fankhauser,

Pascal Mäser

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti299

Subject(s) - pascal (unit) , self organizing map , proteome , in silico , computational biology , computer science , biology , gene , bioinformatics , genetics , artificial intelligence , artificial neural network , programming language

Anchoring of proteins to the extracytosolic leaflet of membranes via C-terminal attachment of glycosylphosphatidylinositol (GPI) is ubiquitous and essential in eukaryotes. The signal for GPI-anchoring is confined to the C-terminus of the target protein. In order to identify anchoring signals in silico, we have trained neural networks on known GPI-anchored proteins, systematically optimizing input parameters.

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