Can functional regions of proteins be predicted from their coding sequences? The case study of G-protein coupled receptors.
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.
Arrigo
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P
Istituto Circuiti Elettronici, Consiglio Nazionale delle Richerche, Genova, Italy.
Fariselli
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P
Casadio
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R
D000595:Amino Acid Sequence; D019204:GTP-Binding Proteins / Q000235:genetics* / Q000378:metabolism; D008969:Molecular Sequence Data; D016571:Neural Networks, Computer; D011506:Proteins / Q000235:genetics / Q000502:physiology*; D011956:Receptors, Cell Surface / Q000235:genetics* / Q000378:metabolism; D016415:Sequence Alignment; D017421:Sequence Analysis; D017386:Sequence Homology, Amino Acid
D011506:Proteins; D011956:Receptors, Cell Surface; D019204:GTP-Binding Proteins