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Article: SUMOsp: A web server for sumoylation site prediction

TitleSUMOsp: A web server for sumoylation site prediction
Authors
Issue Date2006
PublisherOxford University Press. The Journal's web site is located at http://nar.oxfordjournals.org/
Citation
Nucleic Acids Research, 2006, v. 34 WEB. SERV. ISS., p. W254-W257 How to Cite?
AbstractSystematic dissection of the sumoylation proteome is emerging as an appealing but challenging research topic because of the significant roles sumoylation plays in cellular dynamics and plasticity. Although several proteome-scale analyzes have been performed to delineate potential sumoylatable proteins, the bona fide sumoylation sites still remain to be identified. Previously, we carried out a genome-wide analysis of the SUMO substrates in human nucleus using the putative motif Ψ-K-X-E and evolutionary conservation. However, a highly specific predictor for in silico prediction of sumoylation sites in any individual organism is still urgently needed to guide experimental design. In this work, we present a computational system SUMOsp - SUMOylation Sites Prediction, based on a manually curated dataset, integrating the results of two methods, GPS and MotifX, which were originally designed for phosphorylation site prediction. SUMOsp offers at least as good prediction performance as the only available method, SUMOplot, on a very large test set. We expect that the prediction results of SUMOsp combined with experimental verifications will propel our understanding of sumoylation mechanisms to a new level. SUMOsp has been implemented on a freely accessible web server at: http://bioinformatics.lcd-ustc.org/sumosp/. © The Author 2006. Published by Oxford University Press. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/136781
ISSN
2015 Impact Factor: 9.202
2015 SCImago Journal Rankings: 7.458
PubMed Central ID
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorXue, Yen_HK
dc.contributor.authorZhou, Fen_HK
dc.contributor.authorFu, Cen_HK
dc.contributor.authorXu, Yen_HK
dc.contributor.authorYao, Xen_HK
dc.date.accessioned2011-07-29T02:12:08Z-
dc.date.available2011-07-29T02:12:08Z-
dc.date.issued2006en_HK
dc.identifier.citationNucleic Acids Research, 2006, v. 34 WEB. SERV. ISS., p. W254-W257en_HK
dc.identifier.issn0305-1048en_HK
dc.identifier.urihttp://hdl.handle.net/10722/136781-
dc.description.abstractSystematic dissection of the sumoylation proteome is emerging as an appealing but challenging research topic because of the significant roles sumoylation plays in cellular dynamics and plasticity. Although several proteome-scale analyzes have been performed to delineate potential sumoylatable proteins, the bona fide sumoylation sites still remain to be identified. Previously, we carried out a genome-wide analysis of the SUMO substrates in human nucleus using the putative motif Ψ-K-X-E and evolutionary conservation. However, a highly specific predictor for in silico prediction of sumoylation sites in any individual organism is still urgently needed to guide experimental design. In this work, we present a computational system SUMOsp - SUMOylation Sites Prediction, based on a manually curated dataset, integrating the results of two methods, GPS and MotifX, which were originally designed for phosphorylation site prediction. SUMOsp offers at least as good prediction performance as the only available method, SUMOplot, on a very large test set. We expect that the prediction results of SUMOsp combined with experimental verifications will propel our understanding of sumoylation mechanisms to a new level. SUMOsp has been implemented on a freely accessible web server at: http://bioinformatics.lcd-ustc.org/sumosp/. © The Author 2006. Published by Oxford University Press. All rights reserved.en_HK
dc.languageengen_US
dc.publisherOxford University Press. The Journal's web site is located at http://nar.oxfordjournals.org/en_HK
dc.relation.ispartofNucleic Acids Researchen_HK
dc.titleSUMOsp: A web server for sumoylation site predictionen_HK
dc.typeArticleen_HK
dc.identifier.emailFu, C:chuanhai@hku.hken_HK
dc.identifier.authorityFu, C=rp01515en_HK
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1093/nar/gkl207en_HK
dc.identifier.pmid16845005en_HK
dc.identifier.pmcidPMC1538802-
dc.identifier.scopuseid_2-s2.0-33747838835en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33747838835&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume34en_HK
dc.identifier.issueWEB. SERV. ISS.en_HK
dc.identifier.spageW254en_HK
dc.identifier.epageW257en_HK
dc.identifier.eissn1362-4962-
dc.identifier.isiWOS:000245650200053-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridXue, Y=7402270422en_HK
dc.identifier.scopusauthoridZhou, F=8718139300en_HK
dc.identifier.scopusauthoridFu, C=8583808400en_HK
dc.identifier.scopusauthoridXu, Y=7406450936en_HK
dc.identifier.scopusauthoridYao, X=7402530401en_HK
dc.identifier.citeulike6109910-

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