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Results: 1 to 20 of 97

Similar articles for PubMed (Select 23543354)

1.

Data construction for phosphorylation site prediction.

Gong H, Liu X, Wu J, He Z.

Brief Bioinform. 2014 Sep;15(5):839-55. doi: 10.1093/bib/bbt012. Epub 2013 Mar 29.

PMID:
23543354
2.

Musite, a tool for global prediction of general and kinase-specific phosphorylation sites.

Gao J, Thelen JJ, Dunker AK, Xu D.

Mol Cell Proteomics. 2010 Dec;9(12):2586-600. doi: 10.1074/mcp.M110.001388. Epub 2010 Aug 11.

3.

SiteSeek: post-translational modification analysis using adaptive locality-effective kernel methods and new profiles.

Yoo PD, Ho YS, Zhou BB, Zomaya AY.

BMC Bioinformatics. 2008 Jun 10;9:272. doi: 10.1186/1471-2105-9-272.

4.

Representative transcript sets for evaluating a translational initiation sites predictor.

Zeng J, Alhajj R, Demetrick DJ.

BMC Bioinformatics. 2009 Jul 2;10:206. doi: 10.1186/1471-2105-10-206.

5.

PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship.

Jung I, Matsuyama A, Yoshida M, Kim D.

BMC Bioinformatics. 2010 Jan 18;11 Suppl 1:S10. doi: 10.1186/1471-2105-11-S1-S10.

6.

Improved prediction of peptide detectability for targeted proteomics using a rank-based algorithm and organism-specific data.

Qeli E, Omasits U, Goetze S, Stekhoven DJ, Frey JE, Basler K, Wollscheid B, Brunner E, Ahrens CH.

J Proteomics. 2014 Aug 28;108:269-83. doi: 10.1016/j.jprot.2014.05.011. Epub 2014 May 27.

PMID:
24878426
7.

Improving performance of mammalian microRNA target prediction.

Liu H, Yue D, Chen Y, Gao SJ, Huang Y.

BMC Bioinformatics. 2010 Sep 22;11:476. doi: 10.1186/1471-2105-11-476.

8.

Probabilistic Prediction of Protein Phosphorylation Sites Using Classification Relevance Units Machines.

Menor M, Baek K, Poisson G.

ACM SIGAPP Appl Comput Rev. 2012 Dec 1;12(4):8-20.

9.

Prediction of PK-specific phosphorylation site based on information entropy.

Wang M, Li C, Chen W, Wang C.

Sci China C Life Sci. 2008 Jan;51(1):12-20. doi: 10.1007/s11427-008-0012-1.

PMID:
18176786
10.

Developing an efficient scheduling template of a chemotherapy treatment unit: A case study.

Ahmed Z, Elmekkawy T, Bates S.

Australas Med J. 2011;4(10):575-88. doi: 10.4066/AMJ.2011.837. Epub 2011 Oct 31.

11.

Prediction of protein kinase-specific phosphorylation sites in hierarchical structure using functional information and random forest.

Fan W, Xu X, Shen Y, Feng H, Li A, Wang M.

Amino Acids. 2014 Apr;46(4):1069-78. doi: 10.1007/s00726-014-1669-3. Epub 2014 Jan 23.

PMID:
24452754
12.

An ensemble method approach to investigate kinase-specific phosphorylation sites.

Datta S, Mukhopadhyay S.

Int J Nanomedicine. 2014 May 10;9:2225-39. doi: 10.2147/IJN.S57526. eCollection 2014.

13.

A summary of computational resources for protein phosphorylation.

Xue Y, Gao X, Cao J, Liu Z, Jin C, Wen L, Yao X, Ren J.

Curr Protein Pept Sci. 2010 Sep;11(6):485-96. Review.

PMID:
20491621
14.

Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information.

Biswas AK, Noman N, Sikder AR.

BMC Bioinformatics. 2010 May 21;11:273. doi: 10.1186/1471-2105-11-273.

15.

Collective prediction of protein functions from protein-protein interaction networks.

Wu Q, Ye Y, Ng MK, Ho SS, Shi R.

BMC Bioinformatics. 2014;15 Suppl 2:S9. doi: 10.1186/1471-2105-15-S2-S9. Epub 2014 Jan 24.

16.

GPS: a novel group-based phosphorylation predicting and scoring method.

Zhou FF, Xue Y, Chen GL, Yao X.

Biochem Biophys Res Commun. 2004 Dec 24;325(4):1443-8.

PMID:
15555589
17.

Computational prediction of eukaryotic phosphorylation sites.

Trost B, Kusalik A.

Bioinformatics. 2011 Nov 1;27(21):2927-35. doi: 10.1093/bioinformatics/btr525. Epub 2011 Sep 16. Review.

18.

A grammar inference approach for predicting kinase specific phosphorylation sites.

Datta S, Mukhopadhyay S.

PLoS One. 2015 Apr 17;10(4):e0122294. doi: 10.1371/journal.pone.0122294. eCollection 2015.

19.
20.

HMMpTM: improving transmembrane protein topology prediction using phosphorylation and glycosylation site prediction.

Tsaousis GN, Bagos PG, Hamodrakas SJ.

Biochim Biophys Acta. 2014 Feb;1844(2):316-22. doi: 10.1016/j.bbapap.2013.11.001. Epub 2013 Nov 10.

PMID:
24225132
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