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<ol><li> <p> Vespignani A: <strong> Evolution thinks modular. </strong> </p> <p> <em>Nat Genet</em> 2003, <strong>35</strong><strong>:</strong>118-119. </p> </li> <li> <p> <a></a> Milo R, Shen-Orr S, Itzkovitz S, Kashtan N, Chklovskii D, Alon U: <strong> Network motifs: simple building blocks of complex networks. </strong> </p> <p> <em>Science</em> 2002, <strong>298</strong><strong>:</strong>824-827. </p> </li> <li> <p> <a></a> Shen-Orr SS, Milo R, Mangan S, Alon U: <strong> Network motifs in the transcriptional regulation network of Escherichia coli. </strong> </p> <p> <em>Nat Genet</em> 2002, <strong>31</strong><strong>:</strong>64-68. <a href="http://www.immunome-research.com/pubmed/11967538"></a> </p> </li> <li> <p> <a></a> Wuchty S, Oltvai ZN, Barabasi AL: <strong> Evolutionary conservation of motif constituents in the yeast protein interaction network. </strong> </p> <p> <em>Nat Genet</em> 2003, <strong>35</strong><strong>:</strong>176-179. <a href="http://www.immunome-research.com/pubmed/12973352"></a> </p> </li> <li> <p> <a></a> Mazurie A, Bottani S, Vergassola M: <strong> An evolutionary and functional assessment of regulatory network motifs. </strong> </p> <p> <em>Genome Biol</em> 2005, <strong>6</strong><strong>:</strong>R35 </p> </li> <li> <p> Berg J, Lassig M, Wagner A: <strong> Structure and evolution of protein interaction networks: a statistical model for link dynamics and gene duplications. </strong> </p> <p> <em>BMC Evol Biol</em> 2004, <strong>4</strong><strong>:</strong>51. </p> </li> <li> <p> <a></a> Beltrao P, Serrano L: <strong> Specificity and evolvability in eukaryotic protein interaction networks. </strong> </p> <p> <em>PLoS Comput Biol</em> 2007, <strong>3</strong><strong>:</strong>e25. <a href="http://www.immunome-research.com/pubmed/17305419"></a> </p> </li> <li> <p> <a></a> Bloom JD, Adami C: <strong> Apparent dependence of protein evolutionary rate on number of interactions is linked to biases in protein-protein interactions data sets. </strong> </p> <p> <em>BMC Evol Biol</em> 2003, <strong>3</strong><strong>:</strong>21. <a href="http://www.immunome-research.com/pubmed/14525624"></a> </p> </li> <li> <p> <a></a> Jordan IK, Wolf YI, Koonin EV: <strong> No simple dependence between protein evolution rate and the number of protein-protein interactions: only the most prolific interactors tend to evolve slowly. </strong> </p> <p> <em>BMC Evol Biol</em> 2003, <strong>3</strong><strong>:</strong>1. </p> </li> <li> <p> <a></a> Plotkin JB, Fraser HB: <strong> Assessing the determinants of evolutionary rates in the presence of noise. </strong> </p> <p> <em>Mol Biol Evol</em> 2007, <strong>24</strong><strong>:</strong>1113-1121. </p> </li> <li> <p> Drummond DA, Raval A, Wilke CO: <strong> A single determinant dominates the rate of yeast protein evolution. </strong> </p> <p> <em>Mol Biol Evol</em> 2006, <strong>23</strong><strong>:</strong>327-337. <a href="http://www.immunome-research.com/pubmed/16237209"></a> </p> </li> <li> <p> <a></a> Stumpf MP, Kelly WP, Thorne T, Wiuf C: <strong> Evolution at the system level: the natural history of protein interaction networks. </strong> </p> <p> <em>Trends Ecol Evol</em> 2007, <strong>22</strong><strong>:</strong>366-373. <a href="http://www.immunome-research.com/pubmed/17475365"></a> </p> </li> <li> <p> <a></a> Amoutzias GD, Pichler EE, Mian N, De Graaf D, Imsiridou A, Robinson-Rechavi M, Bornberg-Bauer E, Robertson DL, Oliver SG: <strong> A protein interaction atlas for the nuclear receptors: Properties and quality of a hub-based dimerisation network. </strong> </p> <p> <em>BMC Syst Biol</em> 2007, <strong>1</strong><strong>:</strong>34. </p> </li> <li> <p> <a></a> Qin H, Lu HH, Wu WB, Li WH: <strong> Evolution of the yeast protein interaction network. </strong> </p> <p> <em>Proc Natl Acad Sci USA</em> 2003, <strong>100</strong><strong>:</strong>12820-12824. <a href="http://www.immunome-research.com/pubmed/14557537"></a> </p> </li> <li> <p> <a></a> Litman GW, Cooper MD: <strong> Why study the evolution of immunity? </strong> </p> <p> <em>Nat Immunol</em> 2007, <strong>8</strong><strong>:</strong>547-548. <a href="http://www.immunome-research.com/pubmed/17514203"></a> </p> </li> <li> <p> <a></a> Ortutay C, Siermala M, Vihinen M: <strong> Molecular characterization of the immune system: emergence of proteins, processes, and domains. </strong> </p> <p> <em>Immunogenetics</em> 2007, <strong>59</strong><strong>:</strong>333-348. <a href="http://www.immunome-research.com/pubmed/17294181"></a> </p> </li> <li> <p> <a></a> Ortutay C, Vihinen M: <strong> A reference set of genes and proteins for systems biology of the human immune system. </strong> </p> <p> <em>Cell Immunol</em> 2006, <strong>244</strong><strong>:</strong>87-89. <a href="http://www.immunome-research.com/pubmed/17434156"></a> </p> </li> <li> <p> <a></a> Ortutay C, Siermala M, Vihinen M: <strong> ImmTree: Database of evolutionary relationships of genes and proteins in the human immune system. </strong> </p> <p> <em>Immunome Res</em> 2007, <strong>3</strong><strong>:</strong>4. </p> </li> <li> <p> Mathivanan S, Periaswamy B, Gandhi TK, Kandasamy K, Suresh S, Mohmood R, Ramachandra YL, Pandey A: <strong> An evaluation of human protein-protein interaction data in the public domain. </strong> </p> <p> <em>BMC Bioinformatics</em> 2006, <strong>7</strong>(Suppl 5)<strong>:</strong>S19. <a href="http://www.immunome-research.com/pubmed/17254303"></a> </p> </li> <li> <p> <a></a> Bales ME, Johnson SB: <strong> Graph theoretic modeling of large-scale semantic networks. </strong> </p> <p> <em>J Biomed Inform</em> 2006, <strong>39</strong><strong>:</strong>451-464. </p> </li> <li> <p> Amaral LA, Scala A, Barthelemy M, Stanley HE: <strong> Classes of small-world networks. </strong> </p> <p> <em>Proc Natl Acad Sci USA</em> 2000, <strong>97</strong><strong>:</strong>11149-11152. </p> </li> <li> <p> <a></a> Doherty IA, Padian NS, Marlow C, Aral SO: <strong> Determinants and consequences of sexual networks as they affect the spread of sexually transmitted infections. </strong> </p> <p> <em>J Infect Dis</em> 2005, <strong>191</strong>(Suppl 1)<strong>:</strong>S42-54 </p> </li> <li> <p> von Mering C, Krause R, Snel B, Cornell M, Oliver SG, Fields S, Bork P: <strong> Comparative assessment of large-scale data sets of protein-protein interactions. </strong> </p> <p> <em>Nature</em> 2002, <strong>417</strong><strong>:</strong>399-403 </p> </li> <li> <p> Fraser HB, Hirsh AE, Steinmetz LM, Scharfe C, Feldman MW: <strong> Evolutionary rate in the protein interaction network. </strong> </p> <p> <em>Science</em> 2002, <strong>296</strong><strong>:</strong>750-752. </p> </li> <li> <p> <a></a> Pastor-Satorras R, Vespignani A: <strong> Epidemic spreading in scale-free networks. </strong> </p> <p> <em>Phys Rev Lett</em> 2001, <strong>86</strong><strong>:</strong>3200-3203. </p> </li> <li> <p> <a></a> Schintler L, Gorman S, Reggiani A, Patuelli R, Gillespie A, Nijkamp P, Rutherford J: <strong> Complex network phenomena in telecommunication systems. </strong> </p> <p> <em>Network Spatial Econ</em> 2005, <strong>5</strong><strong>:</strong>351-370. </p> </li> <li> <p> Onnela JP, Saramaki J, Hyvonen J, Szabo G, Lazer D, Kaski K, Kertesz J, Barabasi AL: <strong> Structure and tie strengths in mobile communication networks. </strong> </p> <p> <em>Proc Natl Acad Sci USA</em> 2007, <strong>104</strong><strong>:</strong>7332-7336. </p> </li> <li> <p> Albert R, Jeong H, Barabasi AL: <strong> Error and attack tolerance of complex. </strong> </p> <p> <em>Nature</em> 2000, <strong>406</strong><strong>:</strong>378-382. </p> </li> <li> <p> <a></a> Xulvi-Brunet R, Sokolov IM: <strong> Growing networks under geographical constraints. </strong> </p> <p> <em>Phys Rev E Stat Nonlin Soft Matter Phys</em> 2007, <strong>75</strong><strong>:</strong>046117 </p> </li> <li> <p> Barabasi AL, Albert R: <strong> Emergence of scaling in random networks. </strong> </p> <p> <em>Science</em> 1999, <strong>286</strong><strong>:</strong>509-512. </p> </li> <li> <p> Dorogovtsev SN, Mendes JF: <strong> Scaling properties of scale-free evolving networks: continuous approach. </strong> </p> <p> <em>Phys Rev E Stat Nonlin Soft Matter Phys</em> 2001, <strong>63</strong><strong>:</strong>056125 </p> </li> <li> <p> Koonin EV, Wolf YI, Karev GP: <strong> The structure of the protein universe and genome evolution. </strong> </p> <p> <em>Nature</em> 2002, <strong>420</strong><strong>:</strong>218-223. </p> </li> <li> <p> <a></a> Eisenberg E, Levanon EY: <strong> Preferential attachment in the protein network evolution. </strong> </p> <p> <em>Phys Rev Lett</em> 2003, <strong>91</strong><strong>:</strong>138701. </p> </li> <li> <p> <a></a> Eriksen KA, Hornquist M: <strong> Scale-free growing networks imply linear preferential attachment. </strong> </p> <p> <em>Phys Rev E Stat Nonlin Soft Matter Phys</em> 2002, <strong>65</strong><strong>:</strong>017102. </p> </li> <li> <p> <a></a> Wuchty S, Ravasz E, Barabasi AL: <strong> The Architecture of Biological Networks. </strong>In <em>Complex Systems in Biomedicine</em>. Edited by: Deisboeck TS YKJ, Kepler TB. New York: Kluwer Academic Publishing; 2003. </p> </li> <li> <p> <a></a> Barabasi AL, Oltvai ZN: <strong> Network biology: understanding the cell's functional organization. </strong> </p> <p> <em>Nat Rev Genet</em> 2004, <strong>5</strong><strong>:</strong>101-113. <a href="http://www.immunome-research.com/pubmed/14735121"></a> </p> </li> <li> <p> <a></a> Yook SH, Oltvai ZN, Barabasi AL: <strong> Functional and topological characterization of protein interaction networks. </strong> </p> <p> <em>Proteomics</em> 2004, <strong>4</strong>(4)<strong>:</strong>929-842. </p> </li> <li> <p> Dorogovtsev S, Mendes J: <em>Evolution of networks: from biological nets to the Internet and WWW</em>. Oxford: Oxford University Press; 2003. </p> </li> <li> <p> Palla G, Barabasi AL, Vicsek T: <strong> Quantifying social group evolution. </strong> </p> <p> <em>Nature</em> 2007, <strong>446</strong><strong>:</strong>664-667. </p> </li> <li> <p> <a></a> Wuchty S: <strong> Evolution and topology in the yeast protein interaction network. </strong> </p> <p> <em>Genome Res</em> 2004, <strong>14</strong><strong>:</strong>1310-1314. </p> </li> <li> <p> Wuchty S, Barabasi AL, Ferdig MT: <strong> Stable evolutionary signal in a yeast protein interaction network. </strong> </p> <p> <em>BMC Evol Biol</em> 2006, <strong>6</strong><strong>:</strong>8. <a href="http://www.immunome-research.com/pubmed/16441898"></a> </p> </li> <li> <p> <a></a> Kerrien S, Alam-Faruque Y, Aranda B, Bancarz I, Bridge A, Derow C, Dimmer E, Feuermann M, Friedrichsen A, Huntley R: <strong> IntAct-open source resource for molecular interaction data. </strong> </p> <p> <em>Nucleic Acids Research</em> 2006, <strong>35</strong><strong>:</strong>D561-565. </p> </li> <li> <p> <a></a> Colland F, Jacq X, Trouplin V, Mougin C, Groizeleau C, Hamburger A, Meil A, Wojcik J, Legrain P, Gauthier J: <strong> Functional proteomics mapping of a human signaling pathway. </strong> </p> <p> <em>Genome Research</em> 2004, <strong>14</strong><strong>:</strong>1324-1332. </p> </li> <li> <p> Yu H, Luscombe N, Lu H, Zhu X, Xia Y, Han J, Bertin N, Chung S, Vidal M, Gerstein M: <strong> Annotation transfer between genomes: protein-protein interologs and protein-DNA regulogs. </strong> </p> <p> <em>Genome Research</em> 2004, <strong>14</strong><strong>:</strong>1107-1118. </p> </li> <li> <p> <a></a> Liang Z, Xu M, Teng M, Niu L: <strong> Comparison of protein interaction networks reveals species conservation and divergence. </strong> </p> <p> <em>BMC Bioinformatics</em> 2006, <strong>7</strong><strong>:</strong>457. </p> </li> <li> <p> Hurst LD, Smith NG: <strong> Do essential genes evolve slowly? </strong> </p> <p> <em>Curr Biol</em> 1999, <strong>9</strong><strong>:</strong>747-750. </p> </li> <li> <p> Mirny L, Shakhnovich E: <strong> Evolutionary conservation of the folding nucleus. </strong> </p> <p> <em>J Mol Biol</em> 2001, <strong>308</strong><strong>:</strong>123-129. </p> </li> <li> <p> Latora V, Marchiori M: <strong> Efficient behavior of small-world networks. </strong> </p> <p> <em>Phys Rev Lett</em> 2001, <strong>87</strong><strong>:</strong>198701. </p> </li> <li> <p> <a></a> Gol'dshtein V, Koganov G, Surdutovich G: <strong> Vulnerability and hierarchy of complex networks. </strong> </p> <p> <em>Arxiv preprint cond-mat/0409298</em> 2004. </p> </li> <li> <p> Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T: <strong> Cytoscape: a software environment for integrated models of biomolecular interaction networks. </strong> </p> <p> <em>Genome Res</em> 2003, <strong>13</strong><strong>:</strong>2498-2504. </p> </li> <li> <p> Csardi G, Nepusz T: <strong> The igraph software package for complex network research. </strong> </p> <p> <em>InterJournal Complex Systems</em> 2006, 1695. </p> </li> </ol>
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