Krishna Kumar Kandaswamy

Krishna Kumar Kandaswamy

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Krishna Kumar Kandaswamy

Krishna Kumar Kandaswamy

Publications by authors named "Krishna Kumar Kandaswamy"

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19Publications

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EcmPred: prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection.

J Theor Biol 2013 Jan 1;317:377-83. Epub 2012 Nov 1.

Institute for Neuro- and Bioinformatics, University of Luebeck, Germany.

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http://dx.doi.org/10.1016/j.jtbi.2012.10.015DOI Listing
January 2013

RSARF: prediction of residue solvent accessibility from protein sequence using random forest method.

Protein Pept Lett 2012 Jan;19(1):50-6

Stem Cell and Developmental Biology, Genome Institute of Singapore, Singapore.

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http://dx.doi.org/10.2174/092986612798472875DOI Listing
January 2012

3dswap-pred: prediction of 3D domain swapping from protein sequence using Random Forest approach.

Protein Pept Lett 2011 Oct;18(10):1010-20

National Centre for Biological Sciences, UAS-GKVK Campus, Bellary Road, Bangalore 560 065, India.

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http://dx.doi.org/10.2174/092986611796378729DOI Listing
October 2011

BLProt: prediction of bioluminescent proteins based on support vector machine and relieff feature selection.

BMC Bioinformatics 2011 Aug 17;12:345. Epub 2011 Aug 17.

Institute for Neuro- and Bioinformatics, University of Lübeck, 23538 Lübeck, Germany.

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http://dx.doi.org/10.1186/1471-2105-12-345DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3176267PMC
August 2011

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties.

J Theor Biol 2011 Feb 4;270(1):56-62. Epub 2010 Nov 4.

Institute for Neuro- and Bioinformatics, University of Lübeck, 23538 Lübeck, Germany.

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http://dx.doi.org/10.1016/j.jtbi.2010.10.037DOI Listing
February 2011

SMpred: a support vector machine approach to identify structural motifs in protein structure without using evolutionary information.

J Biomol Struct Dyn 2010 Dec;28(3):405-14

Laboratory of Structural Biochemistry, Genome Institute of Singapore, 60 Biopolis Street, Singapore 138672.

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http://dx.doi.org/10.1080/07391102.2010.10507369DOI Listing
December 2010

Identification of functionally diverse lipocalin proteins from sequence information using support vector machine.

Amino Acids 2010 Aug 26;39(3):777-83. Epub 2010 Feb 26.

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.

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http://dx.doi.org/10.1007/s00726-010-0520-8DOI Listing
August 2010

SVMCRYS: an SVM approach for the prediction of protein crystallization propensity from protein sequence.

Protein Pept Lett 2010 Apr;17(4):423-30

Institute for Neuro- and Bioinformatics, University of Lübeck, 23538 Lübeck, Germany.

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http://dx.doi.org/10.2174/092986610790963726DOI Listing
April 2010

SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes.

Biochem Biophys Res Commun 2010 Jan 6;391(3):1306-11. Epub 2009 Dec 6.

Institute for Neuro- and Bioinformatics, University of Lübeck, 23538 Lübeck, Germany.

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http://dx.doi.org/10.1016/j.bbrc.2009.12.019DOI Listing
January 2010