A probabilistic model of nuclear import of proteins

Mehdi, Ahmed M., Sehgal, Muhammad Shoaib B., Kobe, Bostjan, Bailey, Timothy L. and Boden, Mikael (2011) A probabilistic model of nuclear import of proteins. Bioinformatics, 27 9: 1239-1246. doi:10.1093/bioinformatics/btr121

Author Mehdi, Ahmed M.
Sehgal, Muhammad Shoaib B.
Kobe, Bostjan
Bailey, Timothy L.
Boden, Mikael
Title A probabilistic model of nuclear import of proteins
Journal name Bioinformatics   Check publisher's open access policy
ISSN 1367-4803
Publication date 2011-05
Sub-type Article (original research)
DOI 10.1093/bioinformatics/btr121
Volume 27
Issue 9
Start page 1239
End page 1246
Total pages 8
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Collection year 2012
Language eng
Formatted abstract
Motivation: Nucleo-cytoplasmic trafficking of proteins is a core regulatory process that sustains the integrity of the nuclear space of eukaryotic cells via an interplay between numerous factors. Despite progress on experimentally characterizing a number of nuclear localization signals, their presence alone remains an unreliable indicator of actual translocation.
Results: This article introduces a probabilistic model that explicitly recognizes a variety of nuclear localization signals, and integrates relevant amino acid sequence and interaction data for any candidate nuclear protein. In particular, we develop and incorporate scoring functions based on distinct classes of classical nuclear localization signals. Our empirical results show that the model accurately predicts whether a protein is imported into the nucleus, surpassing the classification accuracy of similar predictors when evaluated on the mouse and yeast proteomes (area under the receiver operator characteristic curve of 0.84 and 0.80, respectively). The model also predicts the sequence position of a nuclear localization signal and whether it interacts with importin-α.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

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