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Items: 1 to 20 of 132

1.

Extracting physicochemical features to predict protein secondary structure.

Huang YF, Chen SY.

ScientificWorldJournal. 2013 May 14;2013:347106. doi: 10.1155/2013/347106. Print 2013.

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A new representation for protein secondary structure prediction based on frequent patterns.

Birzele F, Kramer S.

Bioinformatics. 2006 Nov 1;22(21):2628-34. Epub 2006 Aug 29.

PMID:
16940325
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A dynamic Bayesian network approach to protein secondary structure prediction.

Yao XQ, Zhu H, She ZS.

BMC Bioinformatics. 2008 Jan 25;9:49. doi: 10.1186/1471-2105-9-49.

7.

Improving protein secondary structure prediction using a multi-modal BP method.

Qu W, Sui H, Yang B, Qian W.

Comput Biol Med. 2011 Oct;41(10):946-59. doi: 10.1016/j.compbiomed.2011.08.005. Epub 2011 Aug 30.

PMID:
21880310
8.

Rule generation for protein secondary structure prediction with support vector machines and decision tree.

He J, Hu HJ, Harrison R, Tai PC, Pan Y.

IEEE Trans Nanobioscience. 2006 Mar;5(1):46-53.

PMID:
16570873
9.

Improved Chou-Fasman method for protein secondary structure prediction.

Chen H, Gu F, Huang Z.

BMC Bioinformatics. 2006 Dec 12;7 Suppl 4:S14.

10.

PSP_MCSVM: brainstorming consensus prediction of protein secondary structures using two-stage multiclass support vector machines.

Chatterjee P, Basu S, Kundu M, Nasipuri M, Plewczynski D.

J Mol Model. 2011 Sep;17(9):2191-201. doi: 10.1007/s00894-011-1102-8. Epub 2011 May 19.

11.

Improved method for predicting beta-turn using support vector machine.

Zhang Q, Yoon S, Welsh WJ.

Bioinformatics. 2005 May 15;21(10):2370-4. Epub 2005 Mar 29.

PMID:
15797917
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14.

Support vector machines for prediction of dihedral angle regions.

Zimmermann O, Hansmann UH.

Bioinformatics. 2006 Dec 15;22(24):3009-15. Epub 2006 Sep 27.

PMID:
17005536
15.

Sequence based residue depth prediction using evolutionary information and predicted secondary structure.

Zhang H, Zhang T, Chen K, Shen S, Ruan J, Kurgan L.

BMC Bioinformatics. 2008 Sep 20;9:388. doi: 10.1186/1471-2105-9-388.

16.

PFRES: protein fold classification by using evolutionary information and predicted secondary structure.

Chen K, Kurgan L.

Bioinformatics. 2007 Nov 1;23(21):2843-50. Epub 2007 Oct 17.

PMID:
17942446
17.

Predicting protein secondary structure by a support vector machine based on a new coding scheme.

Wang LH, Liu J, Li YF, Zhou HB.

Genome Inform. 2004;15(2):181-90.

PMID:
15706504
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A neural network method for prediction of beta-turn types in proteins using evolutionary information.

Kaur H, Raghava GP.

Bioinformatics. 2004 Nov 1;20(16):2751-8. Epub 2004 May 14.

PMID:
15145798
20.

A grid-enabled protein secondary structure predictor.

Mirto M, Cafaro M, Fiore SL, Tartarini D, Aloisio G.

IEEE Trans Nanobioscience. 2007 Jun;6(2):124-30.

PMID:
17695746

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