Change search
ReferencesLink to record
Permanent link

Direct link
NucPred - Predicting nuclear localization of proteins
Stockholm University.
2007 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1460-2059, Vol. 23, no 9, 1159-1160 p.Article in journal (Refereed) Published
Abstract [en]

NucPred analyzes patterns in eukaryotic protein sequences and predicts if a protein spends at least some time in the nucleus or no time at all. Subcellular location of proteins represents functional information, which is important for understanding protein interactions, for the diagnosis of human diseases and for drug discovery. NucPred is a novel web tool based on regular expression matching and multiple program classifiers induced by genetic programming. A likelihood score is derived from the programs for each input sequence and each residue position. Different forms of visualization are provided to assist the detection of nuclear localization signals (NLSs). The NucPred server also provides access to additional sources of biological information (real and predicted) for a better validation and interpretation of results.

Place, publisher, year, edition, pages
2007. Vol. 23, no 9, 1159-1160 p.
Keyword [en]
Subcellular-localization, sequence, signals
National Category
Biological Sciences
URN: urn:nbn:se:su:diva-56235DOI: 10.1093/bioinformatics/btm066ISI: 000246773300016OAI: diva2:410274
authorCount :3Available from: 2011-04-13 Created: 2011-04-12 Last updated: 2011-04-13Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text
By organisation
Stockholm University
In the same journal
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 47 hits
ReferencesLink to record
Permanent link

Direct link