These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
126 related articles for article (PubMed ID: 19764776)
1. SherLoc2: a high-accuracy hybrid method for predicting subcellular localization of proteins. Briesemeister S; Blum T; Brady S; Lam Y; Kohlbacher O; Shatkay H J Proteome Res; 2009 Nov; 8(11):5363-6. PubMed ID: 19764776 [TBL] [Abstract][Full Text] [Related]
2. SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data. Shatkay H; Höglund A; Brady S; Blum T; Dönnes P; Kohlbacher O Bioinformatics; 2007 Jun; 23(11):1410-7. PubMed ID: 17392328 [TBL] [Abstract][Full Text] [Related]
3. MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition. Höglund A; Dönnes P; Blum T; Adolph HW; Kohlbacher O Bioinformatics; 2006 May; 22(10):1158-65. PubMed ID: 16428265 [TBL] [Abstract][Full Text] [Related]
4. LOCSVMPSI: a web server for subcellular localization of eukaryotic proteins using SVM and profile of PSI-BLAST. Xie D; Li A; Wang M; Fan Z; Feng H Nucleic Acids Res; 2005 Jul; 33(Web Server issue):W105-10. PubMed ID: 15980436 [TBL] [Abstract][Full Text] [Related]
5. Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms. Chou KC; Shen HB Nat Protoc; 2008; 3(2):153-62. PubMed ID: 18274516 [TBL] [Abstract][Full Text] [Related]
6. Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization. Chou KC; Shen HB Biochem Biophys Res Commun; 2006 Aug; 347(1):150-7. PubMed ID: 16808903 [TBL] [Abstract][Full Text] [Related]
7. Euk-PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction. Shen HB; Yang J; Chou KC Amino Acids; 2007 Jul; 33(1):57-67. PubMed ID: 17235453 [TBL] [Abstract][Full Text] [Related]
9. Prediction of protein subcellular localization. Yu CS; Chen YC; Lu CH; Hwang JK Proteins; 2006 Aug; 64(3):643-51. PubMed ID: 16752418 [TBL] [Abstract][Full Text] [Related]
10. Assessing protein similarity with Gene Ontology and its use in subnuclear localization prediction. Lei Z; Dai Y BMC Bioinformatics; 2006 Nov; 7():491. PubMed ID: 17090318 [TBL] [Abstract][Full Text] [Related]
11. pTARGET [corrected] a new method for predicting protein subcellular localization in eukaryotes. Guda C; Subramaniam S Bioinformatics; 2005 Nov; 21(21):3963-9. PubMed ID: 16144808 [TBL] [Abstract][Full Text] [Related]
12. Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations. Szafron D; Lu P; Greiner R; Wishart DS; Poulin B; Eisner R; Lu Z; Anvik J; Macdonell C; Fyshe A; Meeuwis D Nucleic Acids Res; 2004 Jul; 32(Web Server issue):W365-71. PubMed ID: 15215412 [TBL] [Abstract][Full Text] [Related]
14. PSLDoc: Protein subcellular localization prediction based on gapped-dipeptides and probabilistic latent semantic analysis. Chang JM; Su EC; Lo A; Chiu HS; Sung TY; Hsu WL Proteins; 2008 Aug; 72(2):693-710. PubMed ID: 18260102 [TBL] [Abstract][Full Text] [Related]
15. Protein subcellular localization prediction using artificial intelligence technology. Nair R; Rost B Methods Mol Biol; 2008; 484():435-63. PubMed ID: 18592195 [TBL] [Abstract][Full Text] [Related]
16. On the quality of tree-based protein classification. Lazareva-Ulitsky B; Diemer K; Thomas PD Bioinformatics; 2005 May; 21(9):1876-90. PubMed ID: 15647305 [TBL] [Abstract][Full Text] [Related]
17. Predicting protein subnuclear localization using GO-amino-acid composition features. Huang WL; Tung CW; Huang HL; Ho SY Biosystems; 2009 Nov; 98(2):73-9. PubMed ID: 19583993 [TBL] [Abstract][Full Text] [Related]
18. Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites. Chou KC; Shen HB J Proteome Res; 2007 May; 6(5):1728-34. PubMed ID: 17397210 [TBL] [Abstract][Full Text] [Related]