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Atlas of Computational Cell Reprogramming

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L3 · Explicit model-based inverse intervention P

Cornelius et al.

Cornelius SP, Kath WL, Motter AE

2013 · Nature communications

The control of complex networks is of paramount importance in areas as diverse as ecosystem management, emergency response and cell reprogramming.

Abstract

From the original paper, Nature communications · PubMed

The control of complex networks is of paramount importance in areas as diverse as ecosystem management, emergency response and cell reprogramming. A fundamental property of networks is that perturbations to one node can affect other nodes, potentially causing the entire system to change behaviour or fail. Here we show that it is possible to exploit the same principle to control network behaviour. Our approach accounts for the nonlinear dynamics inherent to real systems, and allows bringing the system to a desired target state even when this state is not directly accessible due to constraints that limit the allowed interventions. Applications show that this framework permits reprogramming a network to a desired task, as well as rescuing networks from the brink of failure-which we illustrate through the mitigation of cascading failures in a power-grid network and the identification of potential drug targets in a signalling network of human cancer.

Summary

Editorial summary pending review by the maintainer. The paper's own abstract appears above; the Atlas summary in the maintainer's voice will explain how Cornelius et al. relates to the cross-modality inverse-design framework of the review.

Why this level

Level 3 because candidate interventions enter an explicit forward operator FθuF_{\theta_u} and the predicted post-intervention outcome is what scores each candidate. Representation family is executable intervention model. Cited in §3.4 of the review. Editorial rationale pending review by the maintainer.

Classification

Level
L3
Representation
Executable intervention model
Modalities
P
Intervention
Transcription factors
Framework
Boolean network

Software

Code
Not available
Reproducibility
Not audited
FAIR4RS

Last audited 2026-05-24

Citation

Cornelius SP et al. (2013). Realistic control of network dynamics., Nature communications.

DOI: 10.1038/ncomms2939

PMID: 23803966

BibTeX
@article{cornelius2013,
  title  = {Realistic control of network dynamics.},
  author = {Cornelius SP et al.},
  year   = {2013},
  journal = {Nature communications},
  pmid = {23803966},
  doi  = {10.1038/ncomms2939}
}