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Items: 1 to 20 of 103

1.

Application of improved three-dimensional kernel approach to prediction of protein structural class.

Liu X, Zhang Y, Yang H, Wang L, Liu S.

Biomed Res Int. 2013;2013:625403. doi: 10.1155/2013/625403. Epub 2013 Jun 26.

2.

Predicting protein structural class with AdaBoost Learner.

Niu B, Cai YD, Lu WC, Li GZ, Chou KC.

Protein Pept Lett. 2006;13(5):489-92.

PMID:
16800803
3.

Prediction of protein structure classes with flexible neural tree.

Bao W, Chen Y, Wang D.

Biomed Mater Eng. 2014;24(6):3797-806. doi: 10.3233/BME-141209.

PMID:
25227096
4.

Prediction of protein structural class with Rough Sets.

Cao Y, Liu S, Zhang L, Qin J, Wang J, Tang K.

BMC Bioinformatics. 2006 Jan 14;7:20.

5.

Improving homology models for protein-ligand binding sites.

Kauffman C, Rangwala H, Karypis G.

Comput Syst Bioinformatics Conf. 2008;7:211-22.

6.

SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.

Melvin I, Ie E, Kuang R, Weston J, Stafford WN, Leslie C.

BMC Bioinformatics. 2007 May 22;8 Suppl 4:S2.

7.

Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine.

Hayat M, Iqbal N.

Comput Methods Programs Biomed. 2014 Oct;116(3):184-92. doi: 10.1016/j.cmpb.2014.06.007. Epub 2014 Jun 21.

PMID:
24997484
8.

Support vector machines for prediction and analysis of beta and gamma-turns in proteins.

Pham TH, Satou K, Ho TB.

J Bioinform Comput Biol. 2005 Apr;3(2):343-58.

PMID:
15852509
9.

Protein backbone angle prediction with machine learning approaches.

Kuang R, Leslie CS, Yang AS.

Bioinformatics. 2004 Jul 10;20(10):1612-21. Epub 2004 Feb 26.

PMID:
14988121
10.

Boosting classifier for predicting protein domain structural class.

Feng KY, Cai YD, Chou KC.

Biochem Biophys Res Commun. 2005 Aug 19;334(1):213-7.

PMID:
15993842
11.

fRMSDPred: predicting local RMSD between structural fragments using sequence information.

Rangwala H, Karypis G.

Comput Syst Bioinformatics Conf. 2007;6:311-22.

12.

A topological algorithm for identification of structural domains of proteins.

Emmert-Streib F, Mushegian A.

BMC Bioinformatics. 2007 Jul 3;8:237.

13.

Using supervised fuzzy clustering to predict protein structural classes.

Shen HB, Yang J, Liu XJ, Chou KC.

Biochem Biophys Res Commun. 2005 Aug 26;334(2):577-81.

PMID:
16023077
14.

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.

15.
16.

Prediction of turn types in protein structure by machine-learning classifiers.

Meissner M, Koch O, Klebe G, Schneider G.

Proteins. 2009 Feb 1;74(2):344-52. doi: 10.1002/prot.22164.

PMID:
18618702
17.

Predicting 3D structures of protein-protein complexes.

Vakser IA, Kundrotas P.

Curr Pharm Biotechnol. 2008 Apr;9(2):57-66. Review.

PMID:
18393862
18.

Predicting co-complexed protein pairs from heterogeneous data.

Qiu J, Noble WS.

PLoS Comput Biol. 2008 Apr 18;4(4):e1000054. doi: 10.1371/journal.pcbi.1000054.

19.

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
20.

Orthogonal kernel machine for the prediction of functional sites in proteins.

Yang ZR.

IEEE Trans Syst Man Cybern B Cybern. 2005 Feb;35(1):100-6.

PMID:
15719937

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