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Rubiano Castellanos, Claudia Consuelo: Nuclear export signals (NESs) in Arabidopsis thaliana : development and experimental validation of a prediction tool. 2010
Inhalt
Motivation and overview
Background
Nucleo-cytoplasmic transport
Nuclear protein transport mediated by importin -like receptors
Nuclear export signals (NESs)
NESs in the regulation of nuclear transport
Nuclear export in Arabidopsis thaliana
Computational prediction of NESs
Supervised machine learning classification
Machine learning algorithms used in this work
Hidden Markov Models and profiles
Methods
Development of a prediction tool for NESs
Establishment of data sets
Exploratory analysis
Feature calculation
Feature selection and data pre-processing
Training of classifiers
Performance evaluation criteria
Pipeline construction
Prediction on new protein sequences
Experimental assessment of the nuclear export activity
General methods for DNA manipulation
Detection of protein-protein interactions by yeast two-hybrid assays
Reagents and media composition
Results
Development of a prediction tool for NESs
Exploratory analysis
Tuning and training of classifiers
Variable importance
Classifier assessment and selection
Classification of new samples
Experimental assessment of the nuclear export activity
NES verification in predicted proteins
Further analysis of some NES-containing proteins
Discussion
Analysis of LR-NESs of proteins from Arabidopsis
Development of the prediction tool for LR-NESs
Analysis of the predicted Arabidopsis LR-NES-containing proteins
Conclusions and outlook
Oligonucleotide sequences
List of Abbreviations
Bibliography