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
Journal of Biomedicine and Biotechnology
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. Journal of Biomedicine and Biotechnology،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-476450
Modern Language Association (MLA)
Mukherjee, Debarati…[et al.]. Artificial Neural Network for the Prediction of Tyrosine-Based Sorting Signal Recognition by Adaptor Complexes. Journal of Biomedicine and Biotechnology No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-476450
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. Journal of Biomedicine and Biotechnology. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-476450
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476450