Impact of individual nodes in Boolean network dynamics Fakhteh - - PowerPoint PPT Presentation

impact of individual nodes in boolean network dynamics
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Impact of individual nodes in Boolean network dynamics Fakhteh - - PowerPoint PPT Presentation

Impact of individual nodes in Boolean network dynamics Fakhteh Ghanbarnejad, Konstantin Klemm Bioinformatics group, Universitt Leipzig, Germany arXiv:1111.5334v1 Dresden, May 2012 Impact of individual nodes in Boolean network dynamics P.


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Impact of individual nodes in Boolean network dynamics

Fakhteh Ghanbarnejad, Konstantin Klemm

Bioinformatics group, Universität Leipzig, Germany

arXiv:1111.5334v1

Dresden, May 2012

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Impact of individual nodes in Boolean network dynamics

  • P. Oliveri, E. H. Davidson Current Opinion in Genetics & Development - 2004
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Regulatory Dynamics

M.H. Jensen, K. Sneppen, G. Tiana, FEBS Letters 541, 176 (2003)

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Regulatory Dynamics

  • parameters: production delay, production rates,

binding threshold, characteristic degradation times Hes1 & rna

  • six parameters for a single gene
  • larger systems?!!!
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Discrete Abstract Model

  • ON/Off States
  • Interactions Network
  • Dynamics (time evolution of states):

Logical Operators

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Attractors

A C B ABC 00 011 01 011 10 011 11 100 A C B A C B A C B A C B A C B A C B A C B A C B

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Activity & Sensitivity

F 00 0 F0 01 0 F1 10 1 F2 11 1 F3 F 10 F2 11 F3 00 F0 01 F1 F 00 1 F0 01 0 F1 10 1 F2 11 1 F3 F 10 F0 11 F3 00 F2 01 F1

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Impact of individual nodes in Boolean network dynamics

Short term Long term

Fakhteh Ghanbarnejad, Konstantin Klemm arXiv:1111.5334v1

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Computing the dynamical impact of nodes

1 1 1 1 1 1 1 1 1 1 1 1

Flip: 01 10

nand and and

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Variation of dynamical impact across nodes in random Boolean networks

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Predicting of dynamical impact

  • Why ?
  • S. Bornholdt. Science Vol. 310 no. 5747 pp. 449-451
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Predicting of dynamical impact

  • How ?

Fakhteh Ghanbarnejad, Konstantin Klemm arXiv:1111.5334v1

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Probabilistic description of damage spreading in a Boolean dynamics

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Impact of individual nodes in Boolean network dynamics

Centrality measures considered as predictors for the dynamical impact Range Adjacency matrix Activity matrix local

  • ut-degree

strength global eigenvector eigenvector

Fakhteh Ghanbarnejad, Konstantin Klemm arXiv:1111.5334v1

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Results for random Boolean networks

Range Adjacency matrix Activity matrix local

  • ut-degree

strength

global

eigenvector eigenvector

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Results for random Boolean networks

Range Adjacency matrix Activity matrix local

  • ut-degree

strength

global

eigenvector eigenvector

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  • Asynchronous updating
  • Attractor switching
  • With small perturbations

More cases

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Dynamical impact in a real network

fibroblast signal transduction

  • T. Helikaret al; PNAS 105, 1913 (2008)
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Impact of individual nodes in Boolean network dynamics

Range Adjacency matrix Activity matrix local

  • ut-degree

strength global eigenvector eigenvector

Fakhteh Ghanbarnejad, Konstantin Klemm arXiv:1111.5334v1

  • Linear algebra
  • Random Boolean networks
  • Empirical Boolean networks
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Thanks! To be continued …

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Fakhteh Ghanbarnejad Konstantin Klemm

Impact of individual nodes in Boolean network dynamics

arXiv:1111.5334v1

Stability of Boolean and continuous dynamics

  • Phys. Rev. Lett. 107.188701