PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes
University of British Columbia · Simon Fraser University
Abstract
MOTIVATION: PSORTb has remained the most precise bacterial protein subcellular localization (SCL) predictor since it was first made available in 2003. However, the recall needs to be improved and no accurate SCL predictors yet make predictions for archaea, nor differentiate important localization subcategories, such as proteins targeted to a host cell or bacterial hyperstructures/organelles. Such improvements should preferably be encompassed in a freely available web-based predictor that can also be used as a standalone program. RESULTS: We developed PSORTb version 3.0 with improved recall, higher proteome-scale prediction coverage, and new refined localization subcategories. It is the first SCL predictor…
Citation impact
- FWCI
- 36.61
- Percentile
- 100%
- References
- 36
Authors
11- NYNancy YuCorresponding
University of British Columbia, Simon Fraser University
- JWJames Wagner
University of British Columbia, Simon Fraser University
- MRMatthew R. Laird
University of British Columbia, Simon Fraser University
- GMGabor Melli
University of British Columbia, Simon Fraser University
- SRSébastien Rey
University of British Columbia, Simon Fraser University
Topics & keywords
- Proteome
- Protein subcellular localization prediction
- Archaea
- Computer science
- Subcellular localization
- Precision and recall
- Computational biology
- Interface (matter)