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Controlling large Boolean networks with single-step perturbations.

Alexis Baudin1, Soumya Paul2, Cui Su3

  • 1Department of Computer Science, École Normale Supérieure Paris-Saclay, Cachan, France.

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Summary
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This study introduces a novel, efficient method for controlling Boolean networks (BNs) using single-step perturbations. The approach effectively identifies minimal control sets for biological systems, overcoming computational challenges in large networks.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Network Science

Background:

  • Traditional Boolean network control involves prolonged perturbations.
  • Controlling biological systems efficiently requires time- and cost-effective strategies.
  • State-space explosion poses computational challenges for large-scale network control.

Purpose of the Study:

  • To investigate single-step perturbation strategies for Boolean network control.
  • To compute a minimal set of nodes (Cmin) for driving network attractors.
  • To develop a scalable method for identifying minimal control sets in complex biological networks.

Main Methods:

  • A 'divide-and-conquer' approach is employed, decomposing the network into smaller partitions.
  • Minimal control is computed on the projection of attractors to these partitions.
  • Results from partitions are composed to determine the overall minimal control set (Cmin).

Main Results:

  • The developed method effectively computes minimal control sets for Boolean networks.
  • The 'divide-and-conquer' strategy demonstrates scalability for large, real-life biological networks.
  • The approach offers a more computationally efficient alternative to traditional methods.

Conclusions:

  • Single-step perturbations offer a viable and efficient control strategy for Boolean networks.
  • The proposed decomposition method successfully addresses the computational complexity of controlling large biological networks.
  • This work provides a practical and financially attractive approach for biological system control.