Reconstruction of Network Evolutionary History from Extant Network Topology and Duplication History

  • Si Li
  • Kwok Pui Choi
  • Taoyang Wu
  • Louxin Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7292)


Genome-wide protein-protein interaction (PPI) data are readily available thanks to recent breakthroughs in biotechnology. However, PPI networks of extant organisms are only snapshots of the network evolution. How to infer the whole evolution history becomes a challenging problem in computational biology. In this paper, we present a likelihood-based approach to inferring network evolution history from the topology of PPI networks and the duplication relationship among the paralogs. Simulations show that our approach outperforms the existing ones in terms of the accuracy of reconstruction. Moreover, the growth parameters of several real PPI networks estimated by our method are more consistent with the ones predicted in literature.


Protein Interaction Network Network Evolution Anchor Node Growth History Node Sequence 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Si Li
    • 1
  • Kwok Pui Choi
    • 1
    • 2
  • Taoyang Wu
    • 1
  • Louxin Zhang
    • 1
  1. 1.Department of MathematicsNational University of SingaporeSingapore
  2. 2.Department of Statistics and Applied ProbabilityNational University of SingaporeSingapore

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