Dataset Information
LocNES: a computational tool for locating classical NESs in CRM1 cargo proteins.
Ontology highlight
ABSTRACT: Motivation
Classical nuclear export signals (NESs) are short cognate peptides that direct proteins out of the nucleus via the CRM1-mediated export pathway. CRM1 regulates the localization of hundreds of macromolecules involved in various cellular functions and diseases. Due to the diverse and complex nature of NESs, reliable prediction of the signal remains a challenge despite several attempts made in the last decade.Results
We present a new NES predictor, LocNES. LocNES scans query proteins for NES consensus-fitting peptides and assigns these peptides probability scores using Support Vector Machine model, whose feature set includes amino acid sequence, disorder propensity, and the rank of position-specific scoring matrix score. LocNES demonstrates both higher sensitivity and precision over existing NES prediction tools upon comparative analysis using experimentally identified NESs.Availability and implementation
LocNES is freely available at http://prodata.swmed.edu/LocNES CONTACT: yuhmin.chook@utsouthwestern.eduSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Xu D
PROVIDER: S-EPMC4410651 | biostudies-literature | 2015 May
REPOSITORIES: biostudies-literature
Publications
LocNES: a computational tool for locating classical NESs in CRM1 cargo proteins.
Bioinformatics (Oxford, England) 20141215 9
<h4>Motivation</h4>Classical nuclear export signals (NESs) are short cognate peptides that direct proteins out of the nucleus via the CRM1-mediated export pathway. CRM1 regulates the localization of hundreds of macromolecules involved in various cellular functions and diseases. Due to the diverse and complex nature of NESs, reliable prediction of the signal remains a challenge despite several attempts made in the last decade.<h4>Results</h4>We present a new NES predictor, LocNES. LocNES scans qu ...[more]