Chou KC - Search Results

1

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

Pugalenthi G, Kandaswamy KK, Chou KC, Vivekanandan S, Kolatkar P. Pugalenthi G, et al. Among authors: chou kc. Protein Pept Lett. 2012 Jan;19(1):50-6. doi: 10.2174/092986612798472875. Protein Pept Lett. 2012. PMID: 21919860

2

Nglyc: A Random Forest Method for Prediction of N-Glycosylation Sites in Eukaryotic Protein Sequence.

Pugalenthi G, Nithya V, Chou KC, Archunan G. Pugalenthi G, et al. Among authors: chou kc. Protein Pept Lett. 2020;27(3):178-186. doi: 10.2174/0929866526666191002111404. Protein Pept Lett. 2020. PMID: 31577193

3

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

Kandaswamy KK, Chou KC, Martinetz T, Möller S, Suganthan PN, Sridharan S, Pugalenthi G. Kandaswamy KK, et al. Among authors: chou kc. J Theor Biol. 2011 Feb 7;270(1):56-62. doi: 10.1016/j.jtbi.2010.10.037. Epub 2010 Nov 4. J Theor Biol. 2011. PMID: 21056045

4

A novel sequence-based method for phosphorylation site prediction with feature selection and analysis.

He ZS, Shi XH, Kong XY, Zhu YB, Chou KC. He ZS, et al. Among authors: chou kc. Protein Pept Lett. 2012 Jan;19(1):70-8. doi: 10.2174/092986612798472893. Protein Pept Lett. 2012. PMID: 21919857

5

A sequence-based approach for predicting protein disordered regions.

Huang T, He ZS, Cui WR, Cai YD, Shi XH, Hu LL, Chou KC. Huang T, et al. Among authors: chou kc. Protein Pept Lett. 2013 Mar;20(3):243-8. doi: 10.2174/0929866511320030002. Protein Pept Lett. 2013. PMID: 22591473

6

Using maximum entropy model to predict protein secondary structure with single sequence.

Ding YS, Zhang TL, Gu Q, Zhao PY, Chou KC. Ding YS, et al. Among authors: chou kc. Protein Pept Lett. 2009;16(5):552-60. doi: 10.2174/092986609788167833. Protein Pept Lett. 2009. PMID: 19442235

7

Digital coding of amino acids based on hydrophobic index.

Xiao X, Chou KC. Xiao X, et al. Among authors: chou kc. Protein Pept Lett. 2007;14(9):871-5. doi: 10.2174/092986607782110293. Protein Pept Lett. 2007. PMID: 18045228

8

Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network.

Ding YS, Zhang TL, Chou KC. Ding YS, et al. Among authors: chou kc. Protein Pept Lett. 2007;14(8):811-5. doi: 10.2174/092986607781483778. Protein Pept Lett. 2007. PMID: 17979824

9

Progress in protein structural class prediction and its impact to bioinformatics and proteomics.

Chou KC. Chou KC. Curr Protein Pept Sci. 2005 Oct;6(5):423-36. doi: 10.2174/138920305774329368. Curr Protein Pept Sci. 2005. PMID: 16248794 Review.

10

Predicting protein structural class with AdaBoost Learner.

Niu B, Cai YD, Lu WC, Li GZ, Chou KC. Niu B, et al. Among authors: chou kc. Protein Pept Lett. 2006;13(5):489-92. doi: 10.2174/092986606776819619. Protein Pept Lett. 2006. PMID: 16800803

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