Classifier ensembles for protein structural class prediction with varying homology KD Kedarisetti, L Kurgan, S Dick Biochemical and Biophysical Research Communications 348 (3), 981-988, 2006 | 203 | 2006 |
Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources MJ Mizianty, W Stach, K Chen, KD Kedarisetti, FM Disfani, L Kurgan Bioinformatics 26 (18), i489-i496, 2010 | 201 | 2010 |
Critical assessment of high-throughput standalone methods for secondary structure prediction H Zhang, T Zhang, K Chen, KD Kedarisetti, MJ Mizianty, Q Bao, W Stach, ... Briefings in bioinformatics 12 (6), 672-688, 2011 | 75 | 2011 |
A comment on “Prediction of protein structural classes by a new measure of information discrepancy” KD Kedarisetti, L Kurgan, S Dick Computational Biology and Chemistry 30 (5), 393-394, 2006 | 21 | 2006 |
Improved sequence-based prediction of strand residues KD Kedarisetti, MJ Mizianty, S Dick, L Kurgan Journal of bioinformatics and computational biology 9 (01), 67-89, 2011 | 5 | 2011 |
Searching for factors that distinguish disease-prone and disease-resistant prions via sequence analysis KD Kedarisetti, S Dick, L Kurgan Bioinformatics and Biology Insights 2, BBI. S550, 2008 | 3 | 2008 |
Sequence representation and prediction of protein secondary structure for structural motifs in twilight zone proteins L Kurgan, KD Kedarisetti The Protein Journal 25, 463-474, 2006 | 3 | 2006 |
Prediction of the Number of Helices for the Twilight Zone Proteins KD Kedarisetti, K Chen, A Kapoor, L Kurgan 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and …, 2006 | 3 | 2006 |
Computational prediction of three state secondary structure for protein structural fragments KD Kedarisetti | 1 | 2005 |
Computational prediction of strand residues from protein sequences KD Kedarisetti | | 2012 |
Searching for Factors Involved in Misfolding of the PrPC via In-silico Techniques KD Kedarisetti, S Dick, L Kurgan Protein Engineering 13 (12), 849-56, 2000 | | 2000 |
Secondary Protein Structure Fragments–Feasibility Study in Prediction and Analysis LA Kurgan, KD Kedarisetti | | |