Protein protein interaction network comparison and emulation

The (asymptotic) degree distribution of the best known scale free network models are all similar and are independent of the seed graph used. Hence it has been tempting to assume that networks generated by these models are similar in general. In this thesis it is shown that several key topological features of such networks depend heavily on the specific model and seed graph used. Furthermore, it is shown that starting with right seed graph, the duplication model captures many topological features of publicly available PPI networks very well. keywords: protein-protein interaction networks,topological properties,duplication model. T o my beloved parents. "Animals, whom we have made our slaves, we do not like to consider our equal" CHARLES DARWIN

[1]  Eli Upfal,et al.  Stochastic models for the Web graph , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.

[2]  Fan Chung Graham,et al.  A Random Graph Model for Power Law Graphs , 2001, Exp. Math..

[3]  J. Doyle,et al.  Some protein interaction data do not exhibit power law statistics , 2005, FEBS letters.

[4]  Süleyman Cenk Sahinalp,et al.  Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution , 2006, Systems Biology and Computational Proteomics.

[5]  A. Wagner The yeast protein interaction network evolves rapidly and contains few redundant duplicate genes. , 2001, Molecular biology and evolution.

[6]  Adam J. Smith,et al.  The Database of Interacting Proteins: 2004 update , 2004, Nucleic Acids Res..

[7]  SpencerJoel,et al.  The degree sequence of a scale-free random graph process , 2001 .

[8]  Ian M. Donaldson,et al.  The Biomolecular Interaction Network Database and related tools 2005 update , 2004, Nucleic Acids Res..

[9]  Béla Bollobás,et al.  Degree Distribution of the FKP Network Model , 2003, ICALP.

[10]  Gabriele Ausiello,et al.  MINT: the Molecular INTeraction database , 2006, Nucleic Acids Res..

[11]  R. Solé,et al.  Evolving protein interaction networks through gene duplication. , 2003, Journal of theoretical biology.

[12]  Ioannis Xenarios,et al.  DIP: The Database of Interacting Proteins: 2001 update , 2001, Nucleic Acids Res..

[13]  S. Redner How popular is your paper? An empirical study of the citation distribution , 1998, cond-mat/9804163.

[14]  Michael P H Stumpf,et al.  Complex networks and simple models in biology , 2005, Journal of The Royal Society Interface.

[15]  D. Watts,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2001 .

[16]  Ioannis Xenarios,et al.  DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions , 2002, Nucleic Acids Res..

[17]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[18]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[19]  Jon M. Kleinberg,et al.  The Web as a Graph: Measurements, Models, and Methods , 1999, COCOON.

[20]  Martin Vingron,et al.  IntAct: an open source molecular interaction database , 2004, Nucleic Acids Res..

[21]  A. Barabasi,et al.  Lethality and centrality in protein networks , 2001, Nature.

[22]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[23]  David J. Galas,et al.  A duplication growth model of gene expression networks , 2002, Bioinform..

[24]  Igor Jurisica,et al.  Knowledge Discovery in Proteomics , 2004 .

[25]  Teresa M. Przytycka,et al.  Scale-free networks versus evolutionary drift , 2004, Comput. Biol. Chem..

[26]  M. Vidal,et al.  Effect of sampling on topology predictions of protein-protein interaction networks , 2005, Nature Biotechnology.

[27]  C. Deane,et al.  Protein Interactions , 2002, Molecular & Cellular Proteomics.

[28]  Igor Jurisica,et al.  Modeling interactome: scale-free or geometric? , 2004, Bioinform..

[29]  Fan Chung Graham,et al.  Duplication Models for Biological Networks , 2002, J. Comput. Biol..

[30]  Ramon Ferrer i Cancho,et al.  The small world of human language , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[31]  Dr. Susumu Ohno Evolution by Gene Duplication , 1970, Springer Berlin Heidelberg.

[32]  Michalis Faloutsos,et al.  On power-law relationships of the Internet topology , 1999, SIGCOMM '99.

[33]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .