Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 303

Related Citations for PubMed (Select 16872538)

1.

PIPE: a protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs.

Pitre S, Dehne F, Chan A, Cheetham J, Duong A, Emili A, Gebbia M, Greenblatt J, Jessulat M, Krogan N, Luo X, Golshani A.

BMC Bioinformatics. 2006 Jul 27;7:365.

2.

Binding site prediction for protein-protein interactions and novel motif discovery using re-occurring polypeptide sequences.

Amos-Binks A, Patulea C, Pitre S, Schoenrock A, Gui Y, Green JR, Golshani A, Dehne F.

BMC Bioinformatics. 2011 Jun 2;12:225. doi: 10.1186/1471-2105-12-225.

3.

Global investigation of protein-protein interactions in yeast Saccharomyces cerevisiae using re-occurring short polypeptide sequences.

Pitre S, North C, Alamgir M, Jessulat M, Chan A, Luo X, Green JR, Dumontier M, Dehne F, Golshani A.

Nucleic Acids Res. 2008 Aug;36(13):4286-94. doi: 10.1093/nar/gkn390. Epub 2008 Jun 27.

4.

GAIA: a gram-based interaction analysis tool--an approach for identifying interacting domains in yeast.

Zhang KX, Ouellette BF.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S60. doi: 10.1186/1471-2105-10-S1-S60.

5.
6.

Bootstrapping the interactome: unsupervised identification of protein complexes in yeast.

Friedel CC, Krumsiek J, Zimmer R.

J Comput Biol. 2009 Aug;16(8):971-87. doi: 10.1089/cmb.2009.0023.

PMID:
19630542
7.

MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure.

Srihari S, Ning K, Leong HW.

BMC Bioinformatics. 2010 Oct 12;11:504. doi: 10.1186/1471-2105-11-504.

9.

Structure-based prediction of protein-protein interactions on a genome-wide scale.

Zhang QC, Petrey D, Deng L, Qiang L, Shi Y, Thu CA, Bisikirska B, Lefebvre C, Accili D, Hunter T, Maniatis T, Califano A, Honig B.

Nature. 2012 Oct 25;490(7421):556-60. doi: 10.1038/nature11503. Epub 2012 Sep 30. Erratum in: Nature. 2013 Mar 7;495(7439):127.

10.

A combined experimental and computational strategy to define protein interaction networks for peptide recognition modules.

Tong AH, Drees B, Nardelli G, Bader GD, Brannetti B, Castagnoli L, Evangelista M, Ferracuti S, Nelson B, Paoluzi S, Quondam M, Zucconi A, Hogue CW, Fields S, Boone C, Cesareni G.

Science. 2002 Jan 11;295(5553):321-4. Epub 2001 Dec 13.

11.

A lock-and-key model for protein-protein interactions.

Morrison JL, Breitling R, Higham DJ, Gilbert DR.

Bioinformatics. 2006 Aug 15;22(16):2012-9. Epub 2006 Jun 20.

12.
13.

A Bayesian networks approach for predicting protein-protein interactions from genomic data.

Jansen R, Yu H, Greenbaum D, Kluger Y, Krogan NJ, Chung S, Emili A, Snyder M, Greenblatt JF, Gerstein M.

Science. 2003 Oct 17;302(5644):449-53.

14.

Genome-scale gene function prediction using multiple sources of high-throughput data in yeast Saccharomyces cerevisiae.

Joshi T, Chen Y, Becker JM, Alexandrov N, Xu D.

OMICS. 2004 Winter;8(4):322-33.

PMID:
15703479
15.

Quantitative assessment of the structural bias in protein-protein interaction assays.

Björklund AK, Light S, Hedin L, Elofsson A.

Proteomics. 2008 Nov;8(22):4657-67. doi: 10.1002/pmic.200800150.

PMID:
18924110
16.

Pushing structural information into the yeast interactome by high-throughput protein docking experiments.

Mosca R, Pons C, Fern√°ndez-Recio J, Aloy P.

PLoS Comput Biol. 2009 Aug;5(8):e1000490. doi: 10.1371/journal.pcbi.1000490. Epub 2009 Aug 28.

18.

The Cross-and-Capture system: a versatile tool in yeast proteomics.

Suter B.

Methods. 2012 Dec;58(4):360-6. doi: 10.1016/j.ymeth.2012.07.017. Epub 2012 Jul 24.

PMID:
22836129
19.

Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences.

Guo Y, Yu L, Wen Z, Li M.

Nucleic Acids Res. 2008 May;36(9):3025-30. doi: 10.1093/nar/gkn159. Epub 2008 Apr 4.

20.

Identifying protein complexes using hybrid properties.

Chen L, Shi X, Kong X, Zeng Z, Cai YD.

J Proteome Res. 2009 Nov;8(11):5212-8. doi: 10.1021/pr900554a.

PMID:
19764809
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk