2010
DOI: 10.1093/bioinformatics/btq249
|View full text |Cite
|
Sign up to set email alerts
|

PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes

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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

13
1,698
0
19

Year Published

2014
2014
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 2,149 publications
(1,730 citation statements)
references
References 33 publications
13
1,698
0
19
Order By: Relevance
“…PSORT b 3.0 was used to determine subcellular location of the proteins (Yu et al ., 2010). Local BLASTp analyses were done with the B io E dit BLAST tool v.7.0.5.3 (Hall, 1999) using default parameters and an E‐value cut‐off < 10 −20 .…”
Section: Methodsmentioning
confidence: 99%
“…PSORT b 3.0 was used to determine subcellular location of the proteins (Yu et al ., 2010). Local BLASTp analyses were done with the B io E dit BLAST tool v.7.0.5.3 (Hall, 1999) using default parameters and an E‐value cut‐off < 10 −20 .…”
Section: Methodsmentioning
confidence: 99%
“…Non-lipoproteins were then analyzed for transmembrane domain prediction using TMHMM v.2.0 [54], Phobius [55], HMMTOP [56], CW-PRED [57], and HMM-TM [58]. Non-transmembrane proteins were further analyzed for subcellular localization using PSORTb v. 3.0.2 [59], iLoc-Gpos [60], and CELLO v.2.5 [61]. …”
Section: Methodsmentioning
confidence: 99%
“…The bacterial localization prediction tool, PSORTb version 3.0.2 (http://www.psort.org/psortb/) [35], was used to determine the topology and domain structure of SpsQ and SpsP. SpsQ modeling and binding site prediction were performed using Protein Homology/analogY Recognition Engine V 2.0 (Phyre 2 ) (http://www.sbg.bio.ic.ac.uk/phyre2) [36], and the 3DLigandSite (http://www.sbg.bio.ic.ac.uk/3dligandsite/) [37], using SpA as a basis to predict the IgBDs in each domain.…”
Section: Methodsmentioning
confidence: 99%