REVERSE ENGINEERING THE EVOLUTION OF PROTEIN INTERACTION NETWORKS

被引:0
|
作者
Gibson, Todd A. [1 ]
Goldberg, Debra S. [1 ]
机构
[1] Univ Colorado, Computat Biosci Program, Denver, CO 80202 USA
关键词
DUPLICATION; COMPLEXES;
D O I
暂无
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Protein interaction network analyses have moved beyond simple topological observations to functional and evolutionary inferences based on the construction of putative ancestral networks. Evolutionary studies of protein interaction networks are generally derived from network comparisons, are limited in scope, or are theoretic dynamic models that aren't contextualized to an organism's specific genes. A biologically faithful network evolution reconstruction which ties evolution of the network itself to the actual genes of an organism would help fill in the evolutionary gaps between the gene network "snapshots" of evolution we have from different species today. Here we present a novel framework for reverse engineering the evolution of protein interaction networks of extant species using phylogenetic gene trees and protein interaction data. We applied the framework to Saccharomyces cerevisiae data and present topological trends in the evolutionary lineage of yeast.
引用
收藏
页码:190 / 202
页数:13
相关论文
共 50 条
  • [41] Reverse engineering of metabolic networks, a critical assessment
    Hendrickx, Diana M.
    Hendriks, Margriet M. W. B.
    Eilers, Paul H. C.
    Smilde, Age K.
    Hoefsloot, Huub C. J.
    MOLECULAR BIOSYSTEMS, 2011, 7 (02) : 511 - 520
  • [42] Reverse-engineering human regulatory networks
    Lefebvre, Celine
    Rieckhof, Gabrielle
    Califano, Andrea
    WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE, 2012, 4 (04) : 311 - 325
  • [43] Algorithmic issues in reverse engineering of protein and gene networks via the modular response analysis method
    Berman, Piotr
    Dasgupta, Bhaskar
    Sontag, Eduardo
    REVERSE ENGINEERING BIOLOGICAL NETWORKS: OPPORTUNITIES AND CHALLENGES IN COMPUTATIONAL METHODS FOR PATHWAY INFERENCE, 2007, 1115 : 132 - 141
  • [44] Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks
    Berman, Piotr
    DasGupta, Bhaskar
    Sontag, Eduardo
    DISCRETE APPLIED MATHEMATICS, 2007, 155 (6-7) : 733 - 749
  • [45] Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks
    Berman, P
    DasGupta, B
    Sontag, E
    APPROXIMATION, RANDOMIZATION, AND COMBINATORIAL OPTIMIZATION: ALGORITHMS AND TECHNIQUES, PROCEEDINGS, 2004, 3122 : 39 - 50
  • [46] Fuzzy-Based Self-Interactive Multiobjective Evolution Optimization for Reverse Engineering of Biological Networks
    Wu, Shinq-Jen
    Wu, Cheng-Tao
    Chang, Jyh-Yeong
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2012, 20 (05) : 865 - 882
  • [47] Protein interaction networks
    Pellegrini, M
    Haynor, D
    Johnson, JM
    EXPERT REVIEW OF PROTEOMICS, 2004, 1 (02) : 239 - 249
  • [48] Revisiting Topological Properties of Protein-Protein Interaction Networks from the Perspective of Dataset Evolution
    Shao, Mingyu
    Zhou, Shuigeng
    Guan, Jihong
    2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2014,
  • [49] Design principles of gene evolution for niche adaptation through changes in protein–protein interaction networks
    Gon Carmi
    Somnath Tagore
    Alessandro Gorohovski
    Aviad Sivan
    Dorith Raviv-Shay
    Milana Frenkel-Morgenstern
    Scientific Reports, 10
  • [50] Reverse engineering a protein: the mechanochemistry of ATP synthase
    Oster, G
    Wang, HY
    BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS, 2000, 1458 (2-3): : 482 - 510