Can functional regions of proteins be predicted from their coding sequences? The case study of G-protein coupled receptors
Articolo
Data di Pubblicazione:
1998
Abstract:
A filter based on a set of unsupervised neural networks trained with a
winner-take-all strategy discloses signals along the coding sequences of
G-protein coupled receptors. By comparing with the existing experimental data it
appears that these signals correlate with putative functional domains of the
proteins. After protein alignment within subfamilies, signals cluster in protein
regions which, according to the presently available experimental results, are
described as possible functional domains of the folded proteins. The mapping
procedure reveals characteristic regions in the coding sequences common and/or
characteristic of the receptor subtype. This is particularly noticeable for the
third cytoplasmic loop, which is likely to be involved in the molecular coupling
of all the subfamilies with G-proteins. The results indicate that our mapping can
highlight intrinsic representative features of the coding sequences which, in the
case of G-protein coupled receptors, are characteristic of protein functional
regions and suggest a possible application of the filter for predicting
functional determinants in proteins starting from the coding sequence.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Neural Networks; Unsupervised Learning; Pattern Classification; G-protein coupled receptors; functional domains
Elenco autori:
Arrigo, Patrizio
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