NESmapper: Accurate Prediction of Leucine-Rich Nuclear Export Signals Using Activity-Based Profiles
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Title
NESmapper: Accurate Prediction of Leucine-Rich Nuclear Export Signals Using Activity-Based Profiles
Authors
Keywords
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Journal
PLoS Computational Biology
Volume 10, Issue 9, Pages e1003841
Publisher
Public Library of Science (PLoS)
Online
2014-09-19
DOI
10.1371/journal.pcbi.1003841
References
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Note: Only part of the references are listed.- Prediction of nuclear export signals using weighted regular expressions (Wregex)
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- Structural basis for leucine-rich nuclear export signal recognition by CRM1
- (2009) Xiuhua Dong et al. NATURE
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- (2009) Xiuhua Dong et al. NATURE STRUCTURAL & MOLECULAR BIOLOGY
- Systematic identification of cell cycle-dependent yeast nucleocytoplasmic shuttling proteins by prediction of composite motifs
- (2009) S. Kosugi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Crystal Structure of the Nuclear Export Receptor CRM1 in Complex with Snurportin1 and RanGTP
- (2009) T. Monecke et al. SCIENCE
- Understanding eukaryotic linear motifs and their role in cell signaling and regulation
- (2008) Francesca Diella Frontiers in Bioscience-Landmark
- Six Classes of Nuclear Localization Signals Specific to Different Binding Grooves of Importin α
- (2008) Shunichi Kosugi et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Nuclear Export Signal Consensus Sequences Defined Using a Localization-Based Yeast Selection System
- (2008) Shunichi Kosugi et al. TRAFFIC
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