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Items: 1 to 20 of 101

1.

A computational framework for boosting confidence in high-throughput protein-protein interaction datasets.

Hosur R, Peng J, Vinayagam A, Stelzl U, Xu J, Perrimon N, Bienkowska J, Berger B.

Genome Biol. 2012 Aug 31;13(8):R76. doi: 10.1186/gb-2012-13-8-r76.

2.

Computational large-scale mapping of protein-protein interactions using structural complexes.

Shoemaker B, Wuchty S, Panchenko AR.

Curr Protoc Protein Sci. 2013 Sep 24;73:Unit 3.9. doi: 10.1002/0471140864.ps0309s73.

3.

IsoRankN: spectral methods for global alignment of multiple protein networks.

Liao CS, Lu K, Baym M, Singh R, Berger B.

Bioinformatics. 2009 Jun 15;25(12):i253-8. doi: 10.1093/bioinformatics/btp203.

4.

Probabilistic prediction and ranking of human protein-protein interactions.

Scott MS, Barton GJ.

BMC Bioinformatics. 2007 Jul 5;8:239.

5.

Struct2Net: a web service to predict protein-protein interactions using a structure-based approach.

Singh R, Park D, Xu J, Hosur R, Berger B.

Nucleic Acids Res. 2010 Jul;38(Web Server issue):W508-15. doi: 10.1093/nar/gkq481. Epub 2010 May 31.

6.

Increasing confidence of protein interactomes using network topological metrics.

Chen J, Hsu W, Lee ML, Ng SK.

Bioinformatics. 2006 Aug 15;22(16):1998-2004. Epub 2006 Jun 20.

PMID:
16787971
7.

Computational analysis of human protein interaction networks.

Ramírez F, Schlicker A, Assenov Y, Lengauer T, Albrecht M.

Proteomics. 2007 Aug;7(15):2541-52.

PMID:
17647236
8.
9.

Hox protein interactions: screening and network building.

Bergiers I, Lambert B, Daakour S, Twizere JC, Rezsohazy R.

Methods Mol Biol. 2014;1196:319-48. doi: 10.1007/978-1-4939-1242-1_20.

PMID:
25151173
10.

Large-scale protein-protein interactions detection by integrating big biosensing data with computational model.

You ZH, Li S, Gao X, Luo X, Ji Z.

Biomed Res Int. 2014;2014:598129. doi: 10.1155/2014/598129. Epub 2014 Aug 18.

11.

Large-scale mapping of human protein interactome using structural complexes.

Tyagi M, Hashimoto K, Shoemaker BA, Wuchty S, Panchenko AR.

EMBO Rep. 2012 Mar 1;13(3):266-71. doi: 10.1038/embor.2011.261.

12.

Kernel methods for predicting protein-protein interactions.

Ben-Hur A, Noble WS.

Bioinformatics. 2005 Jun;21 Suppl 1:i38-46.

PMID:
15961482
13.

GIBA: a clustering tool for detecting protein complexes.

Moschopoulos CN, Pavlopoulos GA, Schneider R, Likothanassis SD, Kossida S.

BMC Bioinformatics. 2009 Jun 16;10 Suppl 6:S11. doi: 10.1186/1471-2105-10-S6-S11.

14.

Geometric de-noising of protein-protein interaction networks.

Kuchaiev O, Rasajski M, Higham DJ, Przulj N.

PLoS Comput Biol. 2009 Aug;5(8):e1000454. doi: 10.1371/journal.pcbi.1000454. Epub 2009 Aug 7.

15.

Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins.

Cho YR, Zhang A.

BMC Bioinformatics. 2010 Apr 29;11 Suppl 3:S3. doi: 10.1186/1471-2105-11-S3-S3.

16.
17.

A sampling framework for incorporating quantitative mass spectrometry data in protein interaction analysis.

Tucker G, Loh PR, Berger B.

BMC Bioinformatics. 2013 Oct 4;14:299. doi: 10.1186/1471-2105-14-299.

18.
19.

A matrix based algorithm for Protein-Protein Interaction prediction using Domain-Domain Associations.

Binny Priya S, Saha S, Anishetty R, Anishetty S.

J Theor Biol. 2013 Jun 7;326:36-42. doi: 10.1016/j.jtbi.2013.02.016. Epub 2013 Mar 6.

PMID:
23473859
20.

Computational methods of analysis of protein-protein interactions.

Salwinski L, Eisenberg D.

Curr Opin Struct Biol. 2003 Jun;13(3):377-82. Review.

PMID:
12831890

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