Artificial Neural Network for the Prediction of Tyrosine-Based Sorting Signal Recognition by Adaptor Complexes
Joint Authors
Mukherjee, Debarati
Hanna, Claudia B.
Aguilar, R. Claudio
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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 μ-subunits of the four clathrin-associated adaptor complexes (AP-1 to AP-4).
Despite their overlap in specificity, each μ-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 μ-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-μ interactions with accuracies over 90%.
Therefore, this approach constitutes a powerful tool to help predict mechanisms of intracellular protein sorting.
American Psychological Association (APA)
Mukherjee, Debarati& Hanna, Claudia B.& Aguilar, R. Claudio. 2012. Artificial Neural Network for the Prediction of Tyrosine-Based Sorting Signal Recognition by Adaptor Complexes. BioMed Research International،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-991736
Modern Language Association (MLA)
Mukherjee, Debarati…[et al.]. Artificial Neural Network for the Prediction of Tyrosine-Based Sorting Signal Recognition by Adaptor Complexes. BioMed Research International No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-991736
American Medical Association (AMA)
Mukherjee, Debarati& Hanna, Claudia B.& Aguilar, R. Claudio. Artificial Neural Network for the Prediction of Tyrosine-Based Sorting Signal Recognition by Adaptor Complexes. BioMed Research International. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-991736
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-991736