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Journal Abstract Search
168 related items for PubMed ID: 19630542
21. Identification of functional modules in a PPI network by clique percolation clustering. Zhang S, Ning X, Zhang XS. Comput Biol Chem; 2006 Dec; 30(6):445-51. PubMed ID: 17098476 [Abstract] [Full Text] [Related]
22. In vivo quantification of protein-protein interactions in Saccharomyces cerevisiae using bimolecular fluorescence complementation assay. Sung MK, Huh WK. J Microbiol Methods; 2010 Nov; 83(2):194-201. PubMed ID: 20828586 [Abstract] [Full Text] [Related]
23. Detecting functional modules in the yeast protein-protein interaction network. Chen J, Yuan B. Bioinformatics; 2006 Sep 15; 22(18):2283-90. PubMed ID: 16837529 [Abstract] [Full Text] [Related]
24. Protein complex prediction via cost-based clustering. King AD, Przulj N, Jurisica I. Bioinformatics; 2004 Nov 22; 20(17):3013-20. PubMed ID: 15180928 [Abstract] [Full Text] [Related]
25. Pushing structural information into the yeast interactome by high-throughput protein docking experiments. Mosca R, Pons C, Fernández-Recio J, Aloy P. PLoS Comput Biol; 2009 Aug 22; 5(8):e1000490. PubMed ID: 19714207 [Abstract] [Full Text] [Related]
26. SILAC labeling of yeast for the study of membrane protein complexes. Oeljeklaus S, Schummer A, Suppanz I, Warscheid B. Methods Mol Biol; 2014 Aug 22; 1188():23-46. PubMed ID: 25059602 [Abstract] [Full Text] [Related]
27. Interaction proteomics: characterization of protein complexes using tandem affinity purification-mass spectrometry. Völkel P, Le Faou P, Angrand PO. Biochem Soc Trans; 2010 Aug 22; 38(4):883-7. PubMed ID: 20658971 [Abstract] [Full Text] [Related]
29. CGI: a new approach for prioritizing genes by combining gene expression and protein-protein interaction data. Ma X, Lee H, Wang L, Sun F. Bioinformatics; 2007 Jan 15; 23(2):215-21. PubMed ID: 17098772 [Abstract] [Full Text] [Related]
30. A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE). Stacey RG, Skinnider MA, Scott NE, Foster LJ. BMC Bioinformatics; 2017 Oct 23; 18(1):457. PubMed ID: 29061110 [Abstract] [Full Text] [Related]
32. Modeling interactome: scale-free or geometric? Przulj N, Corneil DG, Jurisica I. Bioinformatics; 2004 Dec 12; 20(18):3508-15. PubMed ID: 15284103 [Abstract] [Full Text] [Related]
33. 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. PubMed ID: 14564010 [Abstract] [Full Text] [Related]
34. The Yeast Three-Hybrid System for Protein Interactions. Glass F, Takenaka M. Methods Mol Biol; 2018 Oct 17; 1794():195-205. PubMed ID: 29855958 [Abstract] [Full Text] [Related]
35. A novel approach to investigating protein/protein interactions and their functions by TAP-tagged yeast strains and its application to examine yeast transcription machinery. Jung J, Ahn YJ, Kang LW. J Microbiol Biotechnol; 2008 Apr 17; 18(4):631-8. PubMed ID: 18467854 [Abstract] [Full Text] [Related]
36. High-quality binary protein interaction map of the yeast interactome network. Yu H, Braun P, Yildirim MA, Lemmens I, Venkatesan K, Sahalie J, Hirozane-Kishikawa T, Gebreab F, Li N, Simonis N, Hao T, Rual JF, Dricot A, Vazquez A, Murray RR, Simon C, Tardivo L, Tam S, Svrzikapa N, Fan C, de Smet AS, Motyl A, Hudson ME, Park J, Xin X, Cusick ME, Moore T, Boone C, Snyder M, Roth FP, Barabási AL, Tavernier J, Hill DE, Vidal M. Science; 2008 Oct 03; 322(5898):104-10. PubMed ID: 18719252 [Abstract] [Full Text] [Related]