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Items: 1 to 20 of 119

1.

svmPRAT: SVM-based protein residue annotation toolkit.

Rangwala H, Kauffman C, Karypis G.

BMC Bioinformatics. 2009 Dec 22;10:439. doi: 10.1186/1471-2105-10-439.

2.

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.

3.
4.

A comprehensive assessment of sequence-based and template-based methods for protein contact prediction.

Wu S, Zhang Y.

Bioinformatics. 2008 Apr 1;24(7):924-31. doi: 10.1093/bioinformatics/btn069. Epub 2008 Feb 22.

5.

Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.

Song J, Yuan Z, Tan H, Huber T, Burrage K.

Bioinformatics. 2007 Dec 1;23(23):3147-54. Epub 2007 Oct 17.

PMID:
17942444
6.

Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs.

Shamim MT, Anwaruddin M, Nagarajaram HA.

Bioinformatics. 2007 Dec 15;23(24):3320-7. Epub 2007 Nov 7.

PMID:
17989092
7.

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
8.

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. doi: 10.1186/1471-2105-9-226.

9.
10.

Efficient remote homology detection using local structure.

Hou Y, Hsu W, Lee ML, Bystroff C.

Bioinformatics. 2003 Nov 22;19(17):2294-301.

PMID:
14630658
11.
12.

Evaluation of features for catalytic residue prediction in novel folds.

Youn E, Peters B, Radivojac P, Mooney SD.

Protein Sci. 2007 Feb;16(2):216-26. Epub 2006 Dec 22.

13.

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
14.

Bio-support vector machines for computational proteomics.

Yang ZR, Chou KC.

Bioinformatics. 2004 Mar 22;20(5):735-41. Epub 2004 Jan 29.

PMID:
14751989
15.

Prediction of hot spots in protein interfaces using extreme learning machines with the information of spatial neighbour residues.

Wang L, Zhang W, Gao Q, Xiong C.

IET Syst Biol. 2014 Aug;8(4):184-90. doi: 10.1049/iet-syb.2013.0049.

PMID:
25075532
16.

TOPTMH: topology predictor for transmembrane alpha-helices.

Ahmed R, Rangwala H, Karypis G.

J Bioinform Comput Biol. 2010 Feb;8(1):39-57.

PMID:
20183873
17.

LIBRUS: combined machine learning and homology information for sequence-based ligand-binding residue prediction.

Kauffman C, Karypis G.

Bioinformatics. 2009 Dec 1;25(23):3099-107. doi: 10.1093/bioinformatics/btp561. Epub 2009 Sep 28.

18.

Improved prediction of protein-protein binding sites using a support vector machines approach.

Bradford JR, Westhead DR.

Bioinformatics. 2005 Apr 15;21(8):1487-94. Epub 2004 Dec 21.

PMID:
15613384
19.

A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation.

Dong Q, Zhou S, Guan J.

Bioinformatics. 2009 Oct 15;25(20):2655-62. doi: 10.1093/bioinformatics/btp500. Epub 2009 Aug 25.

PMID:
19706744
20.

Identification of NAD interacting residues in proteins.

Ansari HR, Raghava GP.

BMC Bioinformatics. 2010 Mar 30;11:160. doi: 10.1186/1471-2105-11-160.

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