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Results: 1 to 20 of 359

1.

Identification of protein functions using a machine-learning approach based on sequence-derived properties.

Lee BJ, Shin MS, Oh YJ, Oh HS, Ryu KH.

Proteome Sci. 2009 Aug 9;7:27.PMID: 19664241 [PubMed]Related articlesFree article

2.

Protein disorder prediction by condensed PSSM considering propensity for order or disorder.

Su CT, Chen CY, Ou YY.

BMC Bioinformatics. 2006 Jun 23;7:319.PMID: 16796745 [PubMed - indexed for MEDLINE]Related articlesFree article

3.

SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.

Kurgan L, Cios K, Chen K.

BMC Bioinformatics. 2008 May 1;9:226.PMID: 18452616 [PubMed - indexed for MEDLINE]Related articlesFree article

4.

Computational identification of ubiquitylation sites from protein sequences.

Tung CW, Ho SY.

BMC Bioinformatics. 2008 Jul 15;9:310.PMID: 18625080 [PubMed - indexed for MEDLINE]Related articlesFree article

5.

FrankSum: new feature selection method for protein function prediction.

Al-Shahib A, Breitling R, Gilbert D.

Int J Neural Syst. 2005 Aug;15(4):259-75.PMID: 16187402 [PubMed - indexed for MEDLINE]Related articles

6.

Prediction of flexible/rigid regions from protein sequences using k-spaced amino acid pairs.

Chen K, Kurgan LA, Ruan J.

BMC Struct Biol. 2007 Apr 16;7:25.PMID: 17437643 [PubMed - indexed for MEDLINE]Related articlesFree article

7.

Protein subcellular localization prediction based on compartment-specific features and structure conservation.

Su EC, Chiu HS, Lo A, Hwang JK, Sung TY, Hsu WL.

BMC Bioinformatics. 2007 Sep 8;8:330.PMID: 17825110 [PubMed - indexed for MEDLINE]Related articlesFree article

8.

Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences.

Mizianty MJ, Kurgan L.

BMC Bioinformatics. 2009 Dec 13;10:414.PMID: 20003388 [PubMed - in process]Related articlesFree article

9.

Feature selection and the class imbalance problem in predicting protein function from sequence.

Al-Shahib A, Breitling R, Gilbert D.

Appl Bioinformatics. 2005;4(3):195-203. Erratum in: Appl Bioinformatics. 2006;5(2):124. PMID: 16231961 [PubMed - indexed for MEDLINE]Related articles

10.

A sequence-based hybrid predictor for identifying conformationally ambivalent regions in proteins.

Liu YC, Yang MH, Lin WL, Huang CK, Oyang YJ.

BMC Genomics. 2009 Dec 3;10 Suppl 3:S22.PMID: 19958486 [PubMed - indexed for MEDLINE]Related articlesFree article

11.

Protein subcellular localization prediction of eukaryotes using a knowledge-based approach.

Lin HN, Chen CT, Sung TY, Ho SY, Hsu WL.

BMC Bioinformatics. 2009 Dec 3;10 Suppl 15:S8.PMID: 19958518 [PubMed - in process]Related articlesFree article

12.

The accurate prediction of protein family from amino acid sequence by measuring features of sequence fragments.

Hong H, Hong Q, Perkins R, Shi L, Fang H, Su Z, Dragan Y, Fuscoe JC, Tong W.

J Comput Biol. 2009 Dec;16(12):1671-88.PMID: 20047490 [PubMed - in process]Related articles

13.

Integrative approaches to the prediction of protein functions based on the feature selection.

Ko S, Lee H.

BMC Bioinformatics. 2009 Dec 31;10:455.PMID: 20043848 [PubMed - in process]Related articlesFree article

14.

Prediction of DNA-binding residues from protein sequence information using random forests.

Wang L, Yang MQ, Yang JY.

BMC Genomics. 2009 Jul 7;10 Suppl 1:S1.PMID: 19594868 [PubMed - indexed for MEDLINE]Related articlesFree article

15.

Robust prediction of B-factor profile from sequence using two-stage SVR based on random forest feature selection.

Pan XY, Shen HB.

Protein Pept Lett. 2009;16(12):1447-54.PMID: 20001907 [PubMed - indexed for MEDLINE]Related articles

16.

Large-scale prediction of long disordered regions in proteins using random forests.

Han P, Zhang X, Norton RS, Feng ZP.

BMC Bioinformatics. 2009 Jan 7;10:8.PMID: 19128505 [PubMed - indexed for MEDLINE]Related articlesFree article

17.

QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information.

Benkert P, Schwede T, Tosatto SC.

BMC Struct Biol. 2009 May 20;9:35.PMID: 19457232 [PubMed - indexed for MEDLINE]Related articlesFree article

18.

Diffusion kernel-based logistic regression models for protein function prediction.

Lee H, Tu Z, Deng M, Sun F, Chen T.

OMICS. 2006 Spring;10(1):40-55.PMID: 16584317 [PubMed - indexed for MEDLINE]Related articles

19.

Predicting protein function and binding profile via matching of local evolutionary and geometric surface patterns.

Tseng YY, Dundas J, Liang J.

J Mol Biol. 2009 Mar 27;387(2):451-64. Epub 2009 Jan 6.PMID: 19154742 [PubMed - indexed for MEDLINE]Related articles

20.

Prediction of mono- and di-nucleotide-specific DNA-binding sites in proteins using neural networks.

Andrabi M, Mizuguchi K, Sarai A, Ahmad S.

BMC Struct Biol. 2009 May 13;9:30.PMID: 19439068 [PubMed - indexed for MEDLINE]Related articlesFree article

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