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• W2035108654 abstract "Sorting of transmembrane proteins to various intracellular compartments depends on specific signals present within their cytosolic domains. Among these sorting signals, the tyrosine-based motif (YXXØ) is one of the best characterized and is recognized by<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML><mml:mi>μ</mml:mi></mml:math>-subunits of the four clathrin-associated adaptor complexes (AP-1 to AP-4). Despite their overlap in specificity, each<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML><mml:mi>μ</mml:mi></mml:math>-subunit has a distinct sequence preference dependent on the nature of the X-residues. Moreover, combinations of these residues exert cooperative or inhibitory effects towards interaction with the various APs. This complexity makes it impossible to predict a priori , the specificity of a given tyrosine-signal for a particular<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML><mml:mi>μ</mml:mi></mml:math>-subunit. Here, we describe the results obtained with a computational approach based on the Artificial Neural Network (ANN) paradigm that addresses the issue of tyrosine-signal specificity, enabling the prediction of YXXØ-<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML><mml:mi>μ</mml:mi></mml:math>interactions with accuracies over 90%. Therefore, this approach constitutes a powerful tool to help predict mechanisms of intracellular protein sorting." @default.
• W2035108654 created "2016-06-24" @default.
• W2035108654 creator A5004252210 @default.
• W2035108654 creator A5046166264 @default.
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• W2035108654 date "2012-01-01" @default.
• W2035108654 modified "2023-09-27" @default.
• W2035108654 title "Artificial Neural Network for the Prediction of Tyrosine-Based Sorting Signal Recognition by Adaptor Complexes" @default.
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• W2035108654 doi "https://doi.org/10.1155/2012/498031" @default.
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