Deng L - Search Results

1

Prediction of protein-protein interaction sites using an ensemble method.

Deng L, Guan J, Dong Q, Zhou S. Deng L, et al. BMC Bioinformatics. 2009 Dec 16;10:426. doi: 10.1186/1471-2105-10-426. BMC Bioinformatics. 2009. PMID: 20015386 Free PMC article.

2

Gene ontology-based protein function prediction by using sequence composition information.

Dong Q, Zhou S, Deng L, Guan J. Dong Q, et al. Among authors: deng l. Protein Pept Lett. 2010 Jun;17(6):789-95. doi: 10.2174/092986610791190336. Protein Pept Lett. 2010. PMID: 19995340

3

SemiHS: an iterative semi-supervised approach for predicting protein-protein interaction hot spots.

Deng L, Guan JH, Dong QW, Zhou SG. Deng L, et al. Protein Pept Lett. 2011 Sep;18(9):896-905. doi: 10.2174/092986611796011419. Protein Pept Lett. 2011. PMID: 21529341

4

PredUs: a web server for predicting protein interfaces using structural neighbors.

Zhang QC, Deng L, Fisher M, Guan J, Honig B, Petrey D. Zhang QC, et al. Among authors: deng l. Nucleic Acids Res. 2011 Jul;39(Web Server issue):W283-7. doi: 10.1093/nar/gkr311. Epub 2011 May 23. Nucleic Acids Res. 2011. PMID: 21609948 Free PMC article.

5

A semi-supervised boosting SVM for predicting hot spots at protein-protein interfaces.

Xu B, Wei X, Deng L, Guan J, Zhou S. Xu B, et al. Among authors: deng l. BMC Syst Biol. 2012;6 Suppl 2(Suppl 2):S6. doi: 10.1186/1752-0509-6-S2-S6. Epub 2012 Dec 12. BMC Syst Biol. 2012. PMID: 23282146 Free PMC article.

6

Boosting prediction performance of protein-protein interaction hot spots by using structural neighborhood properties.

Deng L, Guan J, Wei X, Yi Y, Zhang QC, Zhou S. Deng L, et al. J Comput Biol. 2013 Nov;20(11):878-91. doi: 10.1089/cmb.2013.0083. Epub 2013 Oct 17. J Comput Biol. 2013. PMID: 24134392 Free PMC article.

7

PredHS: a web server for predicting protein-protein interaction hot spots by using structural neighborhood properties.

Deng L, Zhang QC, Chen Z, Meng Y, Guan J, Zhou S. Deng L, et al. Nucleic Acids Res. 2014 Jul;42(Web Server issue):W290-5. doi: 10.1093/nar/gku437. Epub 2014 May 22. Nucleic Acids Res. 2014. PMID: 24852252 Free PMC article.

8

PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility.

Fan C, Liu D, Huang R, Chen Z, Deng L. Fan C, et al. Among authors: deng l. BMC Bioinformatics. 2016 Jan 11;17 Suppl 1(Suppl 1):8. doi: 10.1186/s12859-015-0851-2. BMC Bioinformatics. 2016. PMID: 26818760 Free PMC article.

9

Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks.

Xiao Y, Zhang J, Deng L. Xiao Y, et al. Among authors: deng l. Sci Rep. 2017 Jun 16;7(1):3664. doi: 10.1038/s41598-017-03986-1. Sci Rep. 2017. PMID: 28623317 Free PMC article.

10

A boosting approach for prediction of protein-RNA binding residues.

Tang Y, Liu D, Wang Z, Wen T, Deng L. Tang Y, et al. Among authors: deng l. BMC Bioinformatics. 2017 Dec 1;18(Suppl 13):465. doi: 10.1186/s12859-017-1879-2. BMC Bioinformatics. 2017. PMID: 29219069 Free PMC article.

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