---
_id: '1371'
abstract:
- lang: eng
  text: Living cells can maintain their internal states, react to changing environments,
    grow, differentiate, divide, etc. All these processes are tightly controlled by
    what can be called a regulatory program. The logic of the underlying control can
    sometimes be guessed at by examining the network of influences amongst genetic
    components. Some associated gene regulatory networks have been studied in prokaryotes
    and eukaryotes, unveiling various structural features ranging from broad distributions
    of out-degrees to recurrent "motifs", that is small subgraphs having
    a specific pattern of interactions. To understand what factors may be driving
    such structuring, a number of groups have introduced frameworks to model the dynamics
    of gene regulatory networks. In that context, we review here such in silico approaches
    and show how selection for phenotypes, i.e., network function, can shape network
    structure.
acknowledgement: 'MZ has been supported by Polish National Science Centre Grant No.
  DEC-2012/07/N/NZ2/00107 and by Foundation of Polish Science award START. '
article_processing_charge: No
author:
- first_name: Olivier
  full_name: Martin, Olivier
  last_name: Martin
- first_name: André
  full_name: Krzywicki, André
  last_name: Krzywicki
- first_name: Marcin P
  full_name: Zagórski, Marcin P
  id: 343DA0DC-F248-11E8-B48F-1D18A9856A87
  last_name: Zagórski
  orcid: 0000-0001-7896-7762
citation:
  ama: 'Martin O, Krzywicki A, Zagórski MP. Drivers of structural features in gene
    regulatory networks: From biophysical constraints to biological function. <i>Physics
    of Life Reviews</i>. 2016;17:124-158. doi:<a href="https://doi.org/10.1016/j.plrev.2016.06.002">10.1016/j.plrev.2016.06.002</a>'
  apa: 'Martin, O., Krzywicki, A., &#38; Zagórski, M. P. (2016). Drivers of structural
    features in gene regulatory networks: From biophysical constraints to biological
    function. <i>Physics of Life Reviews</i>. Elsevier. <a href="https://doi.org/10.1016/j.plrev.2016.06.002">https://doi.org/10.1016/j.plrev.2016.06.002</a>'
  chicago: 'Martin, Olivier, André Krzywicki, and Marcin P Zagórski. “Drivers of Structural
    Features in Gene Regulatory Networks: From Biophysical Constraints to Biological
    Function.” <i>Physics of Life Reviews</i>. Elsevier, 2016. <a href="https://doi.org/10.1016/j.plrev.2016.06.002">https://doi.org/10.1016/j.plrev.2016.06.002</a>.'
  ieee: 'O. Martin, A. Krzywicki, and M. P. Zagórski, “Drivers of structural features
    in gene regulatory networks: From biophysical constraints to biological function,”
    <i>Physics of Life Reviews</i>, vol. 17. Elsevier, pp. 124–158, 2016.'
  ista: 'Martin O, Krzywicki A, Zagórski MP. 2016. Drivers of structural features
    in gene regulatory networks: From biophysical constraints to biological function.
    Physics of Life Reviews. 17, 124–158.'
  mla: 'Martin, Olivier, et al. “Drivers of Structural Features in Gene Regulatory
    Networks: From Biophysical Constraints to Biological Function.” <i>Physics of
    Life Reviews</i>, vol. 17, Elsevier, 2016, pp. 124–58, doi:<a href="https://doi.org/10.1016/j.plrev.2016.06.002">10.1016/j.plrev.2016.06.002</a>.'
  short: O. Martin, A. Krzywicki, M.P. Zagórski, Physics of Life Reviews 17 (2016)
    124–158.
corr_author: '1'
date_created: 2018-12-11T11:51:38Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2025-09-22T07:36:42Z
day: '01'
department:
- _id: AnKi
doi: 10.1016/j.plrev.2016.06.002
ec_funded: 1
external_id:
  isi:
  - '000381544100029'
intvolume: '        17'
isi: 1
language:
- iso: eng
month: '07'
oa_version: None
page: 124 - 158
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '291734'
  name: International IST Postdoc Fellowship Programme
publication: Physics of Life Reviews
publication_status: published
publisher: Elsevier
publist_id: '5840'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Drivers of structural features in gene regulatory networks: From biophysical
  constraints to biological function'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 17
year: '2016'
...