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Interactomes Human

Gandhi, T.K., Zhong, J., Mathivanan, S., Karthick, L., Chandrika, K.N., Mohan, S.S., Sharma, S., Pinkert, S., Nagaraju, S., Perias-wamy, B., et al, (2006) Analysis of the Human Protein Interactome and Comparison with Yeast, Worm and Fly Interaction Datasets. Nat Genet, 38, 285-293. [Pg.78]

Chaurasia, G., Iqbal, Y., Hanig, C., Herzel, H., Wanker, E.E. and Futschik, M.E. (2007) Uniin An Entry Gate to the Human Protein Interactome. Nucleic Acids Res, 35, D590-594. [Pg.78]

Prolexys www.ariadnegenomics.com/products/prolexys/ Licence required Prolexys HyNet Human interactome ... [Pg.156]

Biirkle, L., Dinkel, M., Auerbach, D. and Stagljar, I. (2005) A GPCR interactome a comprehensive membrane protein interaction map of Human G-protein coupled receptors using the membrane-based yeast two-hybrid approach. Mol. Cell. Proteomics 4 (Suppl. 1), S45. [Pg.175]

Ramani, A.K., Bunescu, R.C., Mooney, R.J. and Marcotte, E.M. (2005) Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome. Genome Biol. 6, R40. [Pg.180]

Vidal, M. (2006) Time for a human interactome project The Scientist 20, 46-51. [Pg.182]

The PPI maps of many eukaryotic organisms have been investigated. Several model organisms including flies yeast, fly, worms, and humans interactomes, have been mapped extensively. Some of these are described in this section. [Pg.127]

Chaurasia, G. et al. 2009. UniHI 4 new tools for query, analysis and visualization of the human protein-protein interactome. Nucleic Acids Res. 37, D657-D660. [Pg.134]

Idekar, T. and A. Valencia. 2006. Bioinformatics in the human interactome project—Editorial. Bioinfoematics 22, 2973-2974. [Pg.134]

Cusick, M. E., N. Kiltgord, M. Vidal, and D. E. Hill. 2005. Interactome Gateway into systems biology. Human Molec. Genet. 14, 171-181. [Pg.135]

Parks, D S. Lee, D. Bolser, M. Schroeder, M. Lappe D. Oh, and J. Bhak. 2006. Comparative interactomics analysis of protein family interaction networks using PSIMAP(protein structural interactome map). Bioinformatics 21, 3234-3240. Peri, S. et al. 2003. Development of humanprotein reference database as an initial platform for approaching system biology in humans. Genome Res. 13, 2363-2371. [Pg.136]

Stumpf M, Thome T, de Silva ERS et al (2008) Estimating the size of the human interactome. Proc Natl Acad Sci USA 105 6959-6964... [Pg.43]

Stumpf, M.P., Thome, T., de Silva, E., Stewart, R., An, H.J., Lappe, M., and Wiuf, C. (2008) Estimating the size ofthe human interactome. Proceedings of the National Academy of Sciences of the United States of America, 105, 6959-6964. [Pg.458]

Lai, J.M., Hong, Y.R., Tseng, XL., Chao, K.M., and Huang, C.Y. (2008) Phos-phoPOINTi a comprehensive human kinase interactome and phospho-protein database. Bioinformatics, 24 (16), il4-i20. [Pg.60]

The use of experimental orthogonal approaches has demonstrated that Y2H and TAP-MS interaction data sets contain mostly highly reliable interactions. It has been suggested that the integration of data from the two approaches can also serve to increase confidence in either data set, and has provided support to derivate predictions from these approaches (Cusick et ah, 2005). Moreover, Venkatesan et ah, (2009) have developed a framework to estimate various quality parameters associated with currently used methods to identify PINs. The combination of these quality parameters (screening completeness, assay sensitivity, sampling sensitivity, and precision), has shown an estimate of the size of human binary interactome and a path toward the completion of its mapping (Venkatesan et ah, 2009). [Pg.35]


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See also in sourсe #XX -- [ Pg.130 ]




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