Molecular Networks – Representation and Analysis

Abstract

Molecular networks, their representation and analysis have attracted increasing interest in recent years. Although the importance of molecular networks has been recognized for a long time, only the advent of new technologies during the last two decades has delivered the necessary data for a systematic study of molecular networks and their complex behavior. Especially the surge of genome-wide data as well as the increase in computational power have contributed to establishing network and systems biology as new paradigms. The conceptual framework is generally based on an integrated approach of computational and experimental methods. In this chapter, we introduce basic concepts and outline mathematical formalisms for representing and analyzing molecular networks. In particular, we review the study of transcriptional regulatory networks in prokaryotes and of protein interaction networks in humans as prime examples of network-orientated approaches to complex systems. The chapter is concluded with a discussion of current challenges and future directions of network biology.

Keywords

Bayesian Network Molecular Network Boolean Network Transcriptional Regulatory Network Human Protein Reference Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Abbreviations

BIND

biomolecular interaction network database

BLAST

basic local alignment search tool

BRCA

breast cancer-associated gene

BioGRID

biological general repository for interaction dataset

CLR

context likelihood of relatedness

ChIP

chromatin immunoprecipitation

Co-IP

coimmunoprecipitation

DBN

dynamic Bayesian network

DIP

database of interaction proteins

DNA

deoxyribonucleic acid

GTP

guanosine triphosphate

GTPBP

GTP binding protein

HMMR

hyaluronan-mediated motility

HPRD

human protein reference database

MI

molecular interaction

MPPI

Mammalian Protein–Protein Interaction Database

ORF

open reading frame

PAGE

polyacrylamide gel electrophoresis

PDB

protein data bank

PPI

protein–protein interaction

PROM

probabilistic regulation of metabolism

PSI

proteomics standard initiative

PTM

posttranslational modification

RNA

ribonucleic acid

ROS

reactive oxygen species

Rb

retinoblastoma

SDS

sodium dodecyl sulfate

STRING

search tool for the retrieval of interacting genes

TF

transcription factor

UniHI

Unified Human Interactome database

XML

extensible markup language

Y2H

yeast two hybrid

cDNA

complementary DNA

mRNA

messenger RNA

ncRNA

noncoding RNA

References

  1. 24.1.
    H. Kitano: Computational systems biology, Nature 420(6912), 206–210 (2002)CrossRefGoogle Scholar
  2. 24.2.
    H. Kitano: Systems biology: A brief overview, Science 295(5560), 1662–1664 (2002)CrossRefGoogle Scholar
  3. 24.3.
    A.L. Barabasi, Z.N. Oltvai: Network biology: Understanding the cellʼs functional organization, Nat. Rev. Genet. 5(2), 101–113 (2004)CrossRefGoogle Scholar
  4. 24.4.
    F. Jacob, J. Monod: Genetic regulatory mechanisms in the synthesis of proteins, J. Mol. Biol. 3, 318–356 (1961)CrossRefGoogle Scholar
  5. 24.5.
    R. Steuer, B.H. Junker: Computational models of metabolism: Stability and regulation in metabolic networks, Adv. Chem. Phys. 42, 105–251 (2008)Google Scholar
  6. 24.6.
    C. Médigue, T. Rouxel, P. Vigier, A. Hénaut, A. Danchin: Evidence for horizontal gene transfer in Escherichia coli speciation, J. Mol. Biol. 222(4), 851–856 (1991)CrossRefGoogle Scholar
  7. 24.7.
    M.D. Ermolaeva, H.G. Khalak, O. White, H.O. Smith, S.L. Salzberg: Prediction of transcription terminators in bacterial genomes, J. Mol. Biol. 301(1), 27–33 (2000)CrossRefGoogle Scholar
  8. 24.8.
    B. Ren, F. Robert, J.J. Wyrick, O. Aparicio, E.G. Jennings, I. Simon, J. Zeitlinger, J. Schreiber, N. Hannett, E. Kanin, T.L. Volkert, C.J. Wilson, S.P. Bell, R.A. Young: Genome-wide location and function of DNA binding proteins, Science 290(5500), 2306–2309 (2000)CrossRefGoogle Scholar
  9. 24.9.
    V.R. Iyer, C.E. Horak, C.S. Scafe, D. Botstein, M. Snyder, P.O. Brown: Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF, Nature 409(6819), 533–538 (2001)CrossRefGoogle Scholar
  10. 24.10.
    I. Simon, J. Barnett, N. Hannett, C.T. Harbison, N.J. Rinaldi, T.L. Volkert, J.J. Wyrick, J. Zeitlinger, D.K. Gifford, T.S. Jaakkola, R.A. Young: Serial regulation of transcriptional regulators in the yeast cell cycle, Cell 106(6), 697–708 (2001)CrossRefGoogle Scholar
  11. 24.11.
    D. Schmidt, M.D. Wilson, B. Ballester, P.C. Schwalie, G.D. Brown, A. Marshall, C. Kutter, S. Watt, C.P. Martinez-Jimenez, S. Mackay, I. Talianidis, P. Flicek, D.T. Odom: Five-vertebrate ChIP-seq reveals the evolutionary dynamics of transcription factor binding, Science 328(5981), 1036–1040 (2010)CrossRefGoogle Scholar
  12. 24.12.
    C. Kahramanoglou, A.S. Seshasayee, A.I. Prieto, D. Ibberson, S. Schmidt, J. Zimmermann, V. Benes, G.M. Fraser, N.M. Luscombe: Direct and indirect effects of H-NS and Fis on global gene expression control in Escherichia coli, Nucleic Acids Res. 39(6), 2073–2091 (2011)CrossRefGoogle Scholar
  13. 24.13.
    P. Stougaard, S. Molin, K. Nordstrom: RNAs involved in copy-number control and incompatibility of plasmid R1, Proc. Natl. Acad. Sci. USA 78(10), 6008–6012 (1981)CrossRefGoogle Scholar
  14. 24.14.
    G.G. Brownlee: Sequence of 6S RNA of E. coli, Nat. New Biol. 229(5), 147–149 (1971)CrossRefGoogle Scholar
  15. 24.15.
    A. Herbig, K. Nieselt: nocoRNAc: Characterization of noncoding RNAs in prokaryotes, BMC Bioinformatics 12(1), 40 (2011)CrossRefGoogle Scholar
  16. 24.16.
    R.C. Novais, Y.R. Thorstenson: The evolution of pyrosequencing for microbiology: From genes to genomes, J. Microbiol. Methods 86(1), 1–7 (2011)CrossRefGoogle Scholar
  17. 24.17.
    E. Masse, S. Gottesman: A small RNA regulates the expression of genes involved in iron metabolism in Escherichia coli, Proc. Natl. Acad. Sci. USA 99(7), 4620–4625 (2002)CrossRefGoogle Scholar
  18. 24.18.
    V. Daubin, M. Gouy, G. Perriere: A phylogenomic approach to bacterial phylogeny: Evidence of a core of genes sharing a common history, Genome Res. 12(7), 1080–1090 (2002)CrossRefGoogle Scholar
  19. 24.19.
    D. Thieffry, A.M. Huerta, E. Pérez-Rueda, J. Collado-Vides: From specific gene regulation to genomic networks: A global analysis of transcriptional regulation in Escherichia coli, Bioessays 20(5), 433–440 (1998)CrossRefGoogle Scholar
  20. 24.20.
    S.S. Shen-Orr, R. Milo, S. Mangan, U. Alon: Network motifs in the transcriptional regulation network of Escherichia coli, Nat. Genet. 31(1), 64–68 (2002)CrossRefGoogle Scholar
  21. 24.21.
    R. Dobrin, Q.K. Beg, A.L. Barabási, Z.N. Oltvai: Aggregation of topological motifs in the Escherichia coli transcriptional regulatory network, BMC Bioinformatics 5, 10 (2004)CrossRefGoogle Scholar
  22. 24.22.
    C.R. Harwood, I. Moszer: From gene regulation to gene function: Regulatory networks in bacillus subtilis, Comput. Funct. Genomics 3(1), 37–41 (2002)CrossRefGoogle Scholar
  23. 24.23.
    A.L. Sellerio, B. Bassetti, H. Isambert, M. Cosentino Lagomarsino: A comparative evolutionary study of transcription networks. The global role of feedback and hierachical structures, Mol. Biosyst. 5(2), 170–179 (2009)CrossRefGoogle Scholar
  24. 24.24.
    T.-M. Kim, P.J. Park: Advances in analysis of transcriptional regulatory networks, Wiley Interdiscip. Rev. 3(1), 21–35 (2011)Google Scholar
  25. 24.25.
    T.S. Gardner, J.J. Faith: Reverse-engineering transcription control networks, Phys. Life Rev. 2(1), 65–88 (2005)CrossRefGoogle Scholar
  26. 24.26.
    M.M. Babu, N.M. Luscombe, L. Aravind, M. Gerstein, S.A. Teichmann: Structure and evolution of transcriptional regulatory networks, Curr. Opin. Struct. Biol. 14(3), 283–291 (2004)CrossRefGoogle Scholar
  27. 24.27.
    S. Tavazoie, J.D. Hughes, M.J. Campbell, R.J. Cho, G.M. Church: Systematic determination of genetic network architecture, Nat. Genet. 22(3), 281–285 (1999)CrossRefGoogle Scholar
  28. 24.28.
    J.J. Faith, B. Hayete, J.T. Thaden, I. Mogno, J. Wierzbowski, G. Cottarel, S. Kasif, J.J. Collins, T.S. Gardner: Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles, PLoS Biology 5(1), e8 (2007)CrossRefGoogle Scholar
  29. 24.29.
    A. Butte, I. Kohane: Mutual information relevance networks: Functional genomic clustering using pairwise entropy measurements, Pac. Symp. Biocomput. (2000) p. 11Google Scholar
  30. 24.30.
    A.A. Margolin, I. Nemenman, K. Basso, C. Wiggins, G. Stolovitzky, R. Dalla Favera, A. Califano: ARACNE: An algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context, BMC Bioinformatics 7(Suppl 1), S7 (2006)CrossRefGoogle Scholar
  31. 24.31.
    R. Bonneau, M.T. Facciotti, D.J. Reiss, A.K. Schmid, M. Pan, A. Kaur, V. Thorsson, P. Shannon, M.H. Johnson, J.C. Bare, W. Longabaugh, M. Vuthoori, K. Whitehead, A. Madar, L. Suzuki, T. Mori, D.E. Chang, J. Diruggiero, C.H. Johnson, L. Hood, N.S. Baliga: A predictive model for transcriptional control of physiology in a free living cell, Cell 131(7), 1354–1365 (2007)CrossRefGoogle Scholar
  32. 24.32.
    D.J. Reiss, N.S. Baliga, R. Bonneau: Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks, BMC Bioinformatics 7, 280 (2006)CrossRefGoogle Scholar
  33. 24.33.
    R. Bonneau, D.J. Reiss, P. Shannon, M. Facciotti, L. Hood, N.S. Baliga, V. Thorsson: The Inferelator: An algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo, Genome Biol. 7(5), R36 (2006)CrossRefGoogle Scholar
  34. 24.34.
    T. Chen, H. He, G. Church: Modeling gene expression with differential equations, Pac. Symp. Biocomput. 4, 29–40 (1999)Google Scholar
  35. 24.35.
    S.A. Kauffman: Metabolic stability and epigenesis in randomly constructed genetic nets, J. Theor. Biol. 22(3), 437–467 (1969)CrossRefGoogle Scholar
  36. 24.36.
    T. Akutsu, S. Miyano, S. Kuhara: Identification of genetic networks from a small number of gene expression patterns under the Boolean network model, Pac. Symp. Biocomput. 4, 17–28 (1999)Google Scholar
  37. 24.37.
    S. Liang, S. Fuhrman, R. Somogyi: REVEAL: A general reverse engineering algorithm for inference of genetic network architectures, Pac. Symp. Biocomput. 3, 18–29 (1998)Google Scholar
  38. 24.38.
    N. Friedman, M. Goldszmidt, A. Wyner: Data analysis with Bayesian networks: A bootstrap approach, Proc. 15th Conf. Uncertain. Artif. Intell. (UAI) (1999)Google Scholar
  39. 24.39.
    S. Imoto, T. Goto, S. Miyano: Estimation of genetic networks and functional structures between genes by using Bayesian networks and nonparametric regression, Pac. Symp. Biocomput. 7, 175–186 (2002)Google Scholar
  40. 24.40.
    L. Glass, S.A. Kauffman: The logical analysis of continuous, nonlinear biochemical control networks, J. Theor. Biol. 39(1), 103–129 (1973)CrossRefGoogle Scholar
  41. 24.41.
    D. Ropers, H. de Jong, M. Page, D. Schneider, J. Geiselmann: Qualitative simulation of the carbon starvation response in Escherichia coli, Biosystems 84(2), 124–152 (2006)CrossRefGoogle Scholar
  42. 24.42.
    H. de Jong, J. Geiselmann, C. Hernandez, M. Page: Genetic Network Analyzer: Qualitative simulation of genetic regulatory networks, Bioinformatics 19(3), 336–344 (2003)CrossRefGoogle Scholar
  43. 24.43.
    V. Baldazzi, D. Ropers, Y. Markowicz, D. Kahn, J. Geiselmann, H. de Jong: The carbon assimilation network in Escherichia coli is densely connected and largely sign-determined by directions of metabolic fluxes, PLoS Comput. Biol. 6(6), e1000812 (2010)MathSciNetCrossRefGoogle Scholar
  44. 24.44.
    S. Li, P. Brazhnik, B. Sobral, J.J. Tyson: A quantitative study of the division cycle of Caulobacter crescentus stalked cells, PLoS Comput. Biol. 4(1), e9 (2008)CrossRefGoogle Scholar
  45. 24.45.
    S.A. Kauffman: The origins of order: Self-organization and selection in evolution, Biophys. J. 65(6), 2 (1993)Google Scholar
  46. 24.46.
    A. Samal, S. Jain: The regulatory network of E. coli metabolism as a Boolean dynamical system exhibits both homeostasis and flexibility of response, BMC Syst. Biol. 2(1), 21 (2008)CrossRefGoogle Scholar
  47. 24.47.
    M.W. Covert, E.M. Knight, J.L. Reed, M.J. Herrgard, B.O. Palsson: Integrating high-throughput and computational data elucidates bacterial networks, Nature 429(6987), 92–96 (2004)CrossRefGoogle Scholar
  48. 24.48.
    I. Shmulevich, E.R. Dougherty, S. Kim, W. Zhang: Probabilistic Boolean networks: A rule-based uncertainty model for gene regulatory networks, Bioinformatics 18(2), 261–274 (2002)CrossRefGoogle Scholar
  49. 24.49.
    S. Chandrasekaran, N.D. Price: Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis, Proc. Natl. Acad. Sci. USA 107(41), 17845–17850 (2010)CrossRefGoogle Scholar
  50. 24.50.
    I.M. Ong, J.D. Glasner, D. Page: Modelling regulatory pathways in E. coli from time series expression profiles, Bioinformatics 18(Suppl 1), S241–S248 (2002)CrossRefGoogle Scholar
  51. 24.51.
    A.P. Hodges, P. Woolf, Y. He: Bayesian network expansion identifies new ROS and biofilm regulators, PLoS One 5(3), e9513 (2010)CrossRefGoogle Scholar
  52. 24.52.
    I.M. Keseler, J. Collado-Vides, A. Santos-Zavaleta, M. Peralta-Gil, S. Gama-Castro, L. Muñiz-Rascado, C. Bonavides-Martinez, S. Paley, M. Krummenacker, T. Altman, P. Kaipa, A. Spaulding, J. Pacheco, M. Latendresse, C. Fulcher, M. Sarker, A.G. Shearer, A. Mackie, I. Paulsen, R.P. Gunsalus, P.D. Karp: EcoCyc: A comprehensive database of Escherichia coli biology, Nucleic Acids Res. 39(Suppl 1), D583–D590 (2011)CrossRefGoogle Scholar
  53. 24.53.
    A.-C. Gavin, M. Bösche, R. Krause, P. Grandi, M. Marzioch, A. Bauer, J. Schultz, J.M. Rick, A.-M. Michon, C.-M. Cruciat, M. Remor, C. Höfert, M. Schelder, M. Brajenovic, H. Ruffner, A. Merino, K. Klein, M. Hudak, D. Dickson, T. Rudi, V. Gnau, A. Bauch, S. Bastuck, B. Huhse, C. Leutwein, M.-A. Heurtier, R.R. Copley, A. Edelmann, E. Querfurth, V. Rybin, G. Drewes, M. Raida, T. Bouwmeester, P. Bork, B. Seraphin, B. Kuster, G. Neubauer, G. Superti-Furga: Functional organization of the yeast proteome by systematic analysis of protein complexes, Nature 415, 141–147 (2002)CrossRefGoogle Scholar
  54. 24.54.
    I.M. Nooren, J.M. Thornton: Diversity of protein–protein interactions, EMBO Journal 22(14), 3486–3492 (2003)CrossRefGoogle Scholar
  55. 24.55.
    S. Fields, O. Song: A novel genetic system to detect protein–protein interactions, Nature 340(6230), 245–246 (1989)CrossRefGoogle Scholar
  56. 24.56.
    H. Yu, P. Braun, M.A. Yildirim, I. Lemmens, K. Venkatesan, J. Sahalie, T. Hirozane-Kishikawa, F. Gebreab, N. Li, N. Simonis, T. Hao, J.F. Rual, A. Dricot, A. Vazquez, R.R. Murray, C. Simon, L. Tardivo, S. Tam, N. Svrzikapa, C. Fan, A.S. de Smet, A. Motyl, M.E. Hudson, J. Park, X. Xin, M.E. Cusick, T. Moore, C. Boone, M. Snyder, F.P. Roth, A.L. Barabási, J. Tavernier, D.E. Hill, M. Vidal: High-quality binary protein interaction map of the yeast interactome network, Science 322(5898), 104–110 (2008)CrossRefGoogle Scholar
  57. 24.57.
    S. Li, C.M. Armstrong, N. Bertin, H. Ge, S. Milstein, M. Boxem, P.O. Vidalain, J.D. Han, A. Chesneau, T. Hao, D.S. Goldberg, N. Li, M. Martinez, J.F. Rual, P. Lamesch, L. Xu, M. Tewari, S.L. Wong, L.V. Zhang, G.F. Berriz, L. Jacotot, P. Vaglio, J. Reboul, T. Hirozane-Kishikawa, Q. Li, H.W. Gabel, A. Elewa, B. Baumgartner, D.J. Rose, H. Yu, S. Bosak, R. Sequerra, A. Fraser, S.E. Mango, W.M. Saxton, S. Strome, S. Van Den Heuvel, F. Piano, J. Vandenhaute, C. Sardet, M. Gerstein, L. Doucette-Stamm, K.C. Gunsalus, J.W. Harper, M.E. Cusick, F.P. Roth, D.E. Hill, M. Vidal: A map of the interactome network of the metazoan C. elegans, Science 303(5657), 540–543 (2004)CrossRefGoogle Scholar
  58. 24.58.
    L. Giot, J.S. Bader, C. Brouwer, A. Chaudhuri, B. Kuang, Y. Li, Y.L. Hao, C.E. Ooi, B. Godwin, E. Vitols, G. Vijayadamodar, P. Pochart, H. Machineni, M. Welsh, Y. Kong, B. Zerhusen, R. Malcolm, Z. Varrone, A. Collis, M. Minto, S. Burgess, L. McDaniel, E. Stimpson, F. Spriggs, J. Williams, K. Neurath, N. Ioime, M. Agee, E. Voss, K. Furtak, R. Renzulli, N. Aanensen, S. Carrolla, E. Bickelhaupt, Y. Lazovatsky, A. DaSilva, J. Zhong, C.A. Stanyon, R.L. Finley Jr., K.P. White, M. Braverman, T. Jarvie, S. Gold, M. Leach, J. Knight, R.A. Shimkets, M.P. McKenna, J. Chant, J.M. Rothberg: A protein interaction map of Drosophila melanogaster, Science 302(5651), 1727–1736 (2003)CrossRefGoogle Scholar
  59. 24.59.
    J.F. Rual, K. Venkatesan, T. Hao, T. Hirozane-Kishikawa, A. Dricot, N. Li, G.F. Berriz, F.D. Gibbons, M. Dreze, N. Ayivi-Guedehoussou, N. Klitgord, C. Simon, M. Boxem, S. Milstein, J. Rosenberg, D.S. Goldberg, L.V. Zhang, S.L. Wong, G. Franklin, S. Li, J.S. Albala, J. Lim, C. Fraughton, E. Llamosas, S. Cevik, C. Bex, P. Lamesch, R.S. Sikorski, J. Vandenhaute, H.Y. Zoghbi, A. Smolyar, S. Bosak, R. Sequerra, L. Doucette-Stamm, M.E. Cusick, D.E. Hill, F.P. Roth, M. Vidal: Towards a proteome-scale map of the human protein–protein interaction network, Nature 437(7062), 1173–1178 (2005)CrossRefGoogle Scholar
  60. 24.60.
    U. Stelzl, U. Worm, M. Lalowski, C. Haenig, F.H. Brembeck, H. Goehler, M. Stroedicke, M. Zenkner, A. Schoenherr, S. Koeppen, J. Timm, S. Mintzlaff, C. Abraham, N. Bock, S. Kietzmann, A. Goedde, E. Toksöz, A. Droege, S. Krobitsch, B. Korn, W. Birchmeier, H. Lehrach, E.E. Wanker: A human protein–protein interaction network: A resource for annotating the proteome, Cell 122(6), 957–968 (2005)CrossRefGoogle Scholar
  61. 24.61.
    A.J. Walhout, M. Vidal: High-throughput yeast two-hybrid assays for large-scale protein interaction mapping, Methods 24(3), 297–306 (2001)CrossRefGoogle Scholar
  62. 24.62.
    D. Figeys, L.D. McBroom, M.F. Moran: Mass spectrometry for the study of protein–protein interactions, Methods 24(3), 230–239 (2001)CrossRefGoogle Scholar
  63. 24.63.
    T. Kocher, G. Superti-Furga: Mass spectrometry-based functional proteomics: From molecular machines to protein networks, Nat. Methods 4(10), 807–815 (2007)CrossRefGoogle Scholar
  64. 24.64.
    R.M. Ewing, P. Chu, F. Elisma, H. Li, P. Taylor, S. Climie, L. McBroom-Cerajewski, M.D. Robinson, L. OʼConnor, M. Li, R. Taylor, M. Dharsee, Y. Ho, A. Heilbut, L. Moore, S. Zhang, O. Ornatsky, Y.V. Bukhman, M. Ethier, Y. Sheng, J. Vasilescu, M. Abu-Farha, J.P. Lambert, H.S. Duewel, I.I. Stewart, B. Kuehl, K. Hogue, K. Colwill, K. Gladwish, B. Muskat, R. Kinach, S.L. Adams, M.F. Moran, G.B. Morin, T. Topaloglou, D. Figeys: Large-scale mapping of human protein–protein interactions by mass spectrometry, Mol. Syst. Biol. 3, 89 (2007)CrossRefGoogle Scholar
  65. 24.65.
    G.D. Bader, C.W. Hogue: Analyzing yeast protein–protein interaction data obtained from different sources, Nat. Biotechnol. 20(10), 991–997 (2002)CrossRefGoogle Scholar
  66. 24.66.
    M.P. Stumpf, T. Thorne, E. de Silva, R. Stewart, H.J. An, M. Lappe, C. Wiuf: Estimating the size of the human interactome, Proc. Natl. Acad. Sci. USA 105(19), 6959–6964 (2008)CrossRefGoogle Scholar
  67. 24.67.
    A.J. Walhout, R. Sordella, X. Lu, J.L. Hartley, G.F. Temple, M.A. Brasch, N. Thierry-Mieg, M. Vidal: Protein interaction mapping in C. elegans using proteins involved in vulval development, Science 287(5450), 116–122 (2000)CrossRefGoogle Scholar
  68. 24.68.
    K.R. Brown, I. Jurisica: Unequal evolutionary conservation of human protein interactions in interologous networks, Genome Biol. 8(5), R95 (2007)CrossRefGoogle Scholar
  69. 24.69.
    B. Lehner, A.G. Fraser: A first-draft human protein-interaction map, Genome Biol. 5(9), R63 (2004)CrossRefGoogle Scholar
  70. 24.70.
    M. Persico, A. Ceol, C. Gavrila, R. Hoffmann, A. Florio, G. Cesareni: HomoMINT: An inferred human network based on orthology mapping of protein interactions discovered in model organisms, BMC Bioinformatics 6(Suppl 4), S21 (2005)CrossRefGoogle Scholar
  71. 24.71.
    S.E. OʼBrien, D.G. Brown, J.E. Mills, C. Phillips, G. Morris: Computational tools for the analysis and visualization of multiple protein-ligand complexes, J. Mol. Graph Model 24(3), 186–194 (2005)CrossRefGoogle Scholar
  72. 24.72.
    K.R. Brown, I. Jurisica: Online predicted human interaction database, Bioinformatics 21(9), 2076–2082 (2005)CrossRefGoogle Scholar
  73. 24.73.
    S. Martin, D. Roe, J.L. Faulon: Predicting protein–protein interactions using signature products, Bioinformatics 21(2), 218–226 (2005)CrossRefGoogle Scholar
  74. 24.74.
    D.S. Han, H.S. Kim, W.H. Jang, S.D. Lee, J.K. Suh: PreSPI: A domain combination based prediction system for protein–protein interaction, Nucleic Acids Res. 32(21), 6312–6320 (2004)CrossRefGoogle Scholar
  75. 24.75.
    S.P. Kanaan, C. Huang, S. Wuchty, D.Z. Chen, J.A. Izaguirre: Inferring protein–protein interactions from multiple protein domain combinations, Methods Mol. Biol. 541, 43–59 (2009)CrossRefGoogle Scholar
  76. 24.76.
    Y. Guo, L. Yu, Z. Wen, M. Li: Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences, Nucleic Acids Res. 36(9), 3025–3030 (2008)CrossRefGoogle Scholar
  77. 24.77.
    C.Y. Yu, L.C. Chou, D.T. Chang: Predicting protein–protein interactions in unbalanced data using the primary structure of proteins, BMC Bioinformatics 11, 167 (2010)CrossRefGoogle Scholar
  78. 24.78.
    Y. Park, E.M. Marcotte: Revisiting the negative example sampling problem for predicting protein–protein interactions, Bioinformatics 27(21), 3024–3028 (2011)CrossRefGoogle Scholar
  79. 24.79.
    A.K. Ramani, R.C. Bunescu, R.J. Mooney, E.M. Marcotte: Consolidating the set of known human protein–protein interactions in preparation for large-scale mapping of the human interactome, Genome Biol. 6(5), R40 (2005)CrossRefGoogle Scholar
  80. 24.80.
    M.E. Futschik, G. Chaurasia, H. Herzel: Comparison of human protein–protein interaction maps, Bioinformatics 23(5), 605–6011 (2007)CrossRefGoogle Scholar
  81. 24.81.
    T.S. Keshava Prasad, R. Goel, K. Kandasamy, S. Keerthikumar, S. Kumar, S. Mathivanan, D. Telikicherla, R. Raju, B. Shafreen, A. Venugopal, L. Balakrishnan, A. Marimuthu, S. Banerjee, D.S. Somanathan, A. Sebastian, S. Rani, S. Ray, C.J. Harrys Kishore, S. Kanth, M. Ahmed, M.K. Kashyap, R. Mohmood, Y.L. Ramachandra, V. Krishna, B.A. Rahiman, S. Mohan, P. Ranganathan, S. Ramabadran, R. Chaerkady, A. Pandey: Human protein reference database – 2009 update, Nucleic Acids Res. 37(Database issue), D767–D772 (2009)CrossRefGoogle Scholar
  82. 24.82.
    C. Stark, B.J. Breitkreutz, A. Chatr-Aryamontri, L. Boucher, R. Oughtred, M.S. Livstone, J. Nixon, K. Van Auken, X. Wang, X. Shi, T. Reguly, J.M. Rust, A. Winter, K. Dolinski, M. Tyers: The BioGRID Interaction Database: 2011 update, Nucleic Acids Res. 39(Database issue), D698–D704 (2011)CrossRefGoogle Scholar
  83. 24.83.
    B. Aranda, P. Achuthan, Y. Alam-Faruque, I. Armean, A. Bridge, C. Derow, M. Feuermann, A.T. Ghanbarian, S. Kerrien, J. Khadake, J. Kerssemakers, C. Leroy, M. Menden, M. Michaut, L. Montecchi-Palazzi, S.N. Neuhauser, S. Orchard, V. Perreau, B. Roechert, K. van Eijk, H. Hermjakob: The IntAct molecular interaction database in 2010, Nucleic Acids Res. 38(Database issue), D525–D531 (2010)CrossRefGoogle Scholar
  84. 24.84.
    L. Salwinski, C.S. Miller, A.J. Smith, F.K. Pettit, J.U. Bowie, D. Eisenberg: The Database of Interacting Proteins: 2004 update, Nucleic Acids Res. 32(Database issue), D449–D451 (2004)CrossRefGoogle Scholar
  85. 24.85.
    R. Isserlin, R.A. El-Badrawi, G.D. Bader: The Biomolecular Interaction Network Database in PSI-MI 2.5, Database (Oxford) 2011, baq037 (2011)CrossRefGoogle Scholar
  86. 24.86.
    P. Pagel, S. Kovac, M. Oesterheld, B. Brauner, I. Dunger-Kaltenbach, G. Frishman, C. Montrone, P. Mark, V. Stümpflen, H.W. Mewes, A. Ruepp, D. Frishman: The MIPS mammalian protein–protein interaction database, Bioinformatics 21(6), 832–834 (2005)CrossRefGoogle Scholar
  87. 24.87.
    H. Hermjakob, L. Montecchi-Palazzi, G. Bader, J. Wojcik, L. Salwinski, A. Ceol, S. Moore, S. Orchard, U. Sarkans, C. von Mering, B. Roechert, S. Poux, E. Jung, H. Mersch, P. Kersey, M. Lappe, Y. Li, R. Zeng, D. Rana, M. Nikolski, H. Husi, C. Brun, K. Shanker, S.G. Grant, C. Sander, P. Bork, W. Zhu, A. Pandey, A. Brazma, B. Jacq, M. Vidal, D. Sherman, P. Legrain, G. Cesareni, I. Xenarios, D. Eisenberg, B. Steipe, C. Hogue, R. Apweiler: The HUPO PSIʼs molecular interaction format – a community standard for the representation of protein interaction data, Nat. Biotechnol. 22(2), 177–183 (2004)CrossRefGoogle Scholar
  88. 24.88.
    D. Szklarczyk, A. Franceschini, M. Kuhn, M. Simonovic, A. Roth, P. Minguez, T. Doerks, M. Stark, J. Muller, P. Bork, L.J. Jensen, C. von Mering: The STRING database in 2011: Functional interaction networks of proteins, globally integrated and scored, Nucleic Acids Res. 39(Database issue), D561–D568 (2011)CrossRefGoogle Scholar
  89. 24.89.
    G. Chaurasia, S. Malhotra, J. Russ, S. Schnoegl, C. Hänig, E.E. Wanker, M.E. Futschik: UniHI 4: New tools for query, analysis and visualization of the human protein–protein interactome, Nucleic Acids Res. 37(Database issue), D657–D660 (2009)CrossRefGoogle Scholar
  90. 24.90.
    J.E. Girardini, M. Napoli, S. Piazza, A. Rustighi, C. Marotta, E. Radaelli, V. Capaci, L. Jordan, P. Quinlan, A. Thompson, M. Mano, A. Rosato, T. Crook, E. Scanziani, A.R. Means, G. Lozano, C. Schneider, G. Del Sal: A Pin1/mutant p53 axis promotes aggressiveness in breast cancer, Cancer Cell 20(1), 79–91 (2011)CrossRefGoogle Scholar
  91. 24.91.
    D. Hanahan, R.A. Weinberg: The hallmarks of cancer, Cell 100(1), 57–70 (2000)CrossRefGoogle Scholar
  92. 24.92.
    B. Vogelstein, K.W. Kinzler: Cancer genes and the pathways they control, Nat. Med. 10(8), 789–799 (2004)CrossRefGoogle Scholar
  93. 24.93.
    L.D. Wood, D.W. Parsons, S. Jones, J. Lin, T. Sjöblom, R.J. Leary, D. Shen, S.M. Boca, T. Barber, J. Ptak, N. Silliman, S. Szabo, Z. Dezso, V. Ustyanksky, T. Nikolskaya, Y. Nikolsky, R. Karchin, P.A. Wilson, J.S. Kaminker, Z. Zhang, R. Croshaw, J. Willis, D. Dawson, M. Shipitsin, J.K. Willson, S. Sukumar, K. Polyak, B.H. Park, C.L. Pethiyagoda, P.V. Pant, D.G. Ballinger, A.B. Sparks, J. Hartigan, D.R. Smith, E. Suh, N. Papadopoulos, P. Buckhaults, S.D. Markowitz, G. Parmigiani, K.W. Kinzler, V.E. Velculescu, B. Vogelstein: The genomic landscapes of human breast and colorectal cancers, Science 318(5853), 1108–1113 (2007)CrossRefGoogle Scholar
  94. 24.94.
    A.L. Russo, K. Jedlicka, M. Wernick, D. McNally, M. Kirk, M. Sproull, S. Smith, U. Shankavaram, A. Kaushal, W.D. Figg, W. Dahut, D. Citrin, D.P. Bottaro, P.S. Albert, P.J. Tofilon, K. Camphausen: Urine analysis and protein networking identify met as a marker of metastatic prostate cancer, Clin. Cancer Res. 15(13), 4292–4298 (2009)CrossRefGoogle Scholar
  95. 24.95.
    A. Lunardi, G. Di Minin, P. Provero, M. Dal Ferro, M. Carotti, G. Del Sal, L. Collavin: A genome-scale protein interaction profile of Drosophila p53 uncovers additional nodes of the human p53 network, Proc. Natl. Acad. Sci. USA 107(14), 6322–6327 (2010)CrossRefGoogle Scholar
  96. 24.96.
    J. Ladha, S. Donakonda, S. Agrawal, B. Thota, M.R. Srividya, S. Sridevi, A. Arivazhagan, K. Thennarasu, A. Balasubramaniam, B.A. Chandramouli, A.S. Hegde, P. Kondaiah, K. Somasundaram, V. Santosh, S.M. Rao: Glioblastoma-specific protein interaction network identifies PP1A and CSK21 as connecting molecules between cell cycle-associated genes, Cancer Res. 70(16), 6437–6447 (2010)CrossRefGoogle Scholar
  97. 24.97.
    S.A. Bapat, A. Krishnan, A.D. Ghanate, A.P. Kusumbe, R.S. Kalra: Gene expression: Protein interaction systems network modeling identifies transformation-associated molecules and pathways in ovarian cancer, Cancer Res. 70(12), 4809–4819 (2010)CrossRefGoogle Scholar
  98. 24.98.
    M.A. Pujana, J.D. Han, L.M. Starita, K.N. Stevens, M. Tewari, J.S. Ahn, G. Rennert, V. Moreno, T. Kirchhoff, B. Gold, V. Assmann, W.M. Elshamy, J.F. Rual, D. Levine, L.S. Rozek, R.S. Gelman, K.C. Gunsalus, R.A. Greenberg, B. Sobhian, N. Bertin, K. Venkatesan, N. Ayivi-Guedehoussou, X. Solé, P. Hernández, C. Lázaro, K.L. Nathanson, B.L. Weber, M.E. Cusick, D.E. Hill, K. Offit, D.M. Livingston, S.B. Gruber, J.D. Parvin, M. Vidal: Network modeling links breast cancer susceptibility and centrosome dysfunction, Nat. Genet. 39(11), 1338–1349 (2007)CrossRefGoogle Scholar
  99. 24.99.
    V. Trevino, M.G. Tadesse, M. Vannucci, F. Al-Shahrour, P. Antczak, S. Durant, A. Bikfalvi, J. Dopazo, M.J. Campbell, F. Falciani: Analysis of normal-tumor tissue interaction in tumors: Prediction of prostate cancer features from the molecular profile of adjacent normal cells, PLoS One 6(3), e16492 (2011)CrossRefGoogle Scholar
  100. 24.100.
    H.Y. Chuang, E. Lee, Y.T. Liu, D. Lee, T. Ideker: Network-based classification of breast cancer metastasis, Mol. Syst. Biol. 3, 140 (2007)CrossRefGoogle Scholar
  101. 24.101.
    I.W. Taylor, R. Linding, D. Warde-Farley, Y. Liu, C. Pesquita, D. Faria, S. Bull, T. Pawson, Q. Morris, J.L. Wrana: Dynamic modularity in protein interaction networks predicts breast cancer outcome, Nat. Biotechnol. 27(2), 199–204 (2009)CrossRefGoogle Scholar
  102. 24.102.
    A. Friedman, N. Perrimon: Genetic screening for signal transduction in the era of network biology, Cell 128(2), 225–231 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2014

Authors and Affiliations

  1. 1.IBB/Centre for Biomedical and Structural BiomedicineUniversity of AlgarveFaroPortugal
  2. 2.DIBB/Centre for Biomedical and Structural BiomedicineUniversity of AlgarveFaroPortugal
  3. 3.IBB/Centre for Biomedical and Structural BiomedicineUniversity of AlgarveFaroPortugal

Personalised recommendations