Structural and dynamical analysis of biological networks
Open accessAbstract
Biological networks are currently being studied with approaches derived from the mathematical and physical sciences. Their structural analysis enables to highlight nodes with special properties that have sometimes been correlated with the biological importance of a gene or a protein. However, biological networks are dynamic both on the evolutionary time-scale, and on the much shorter time-scale of physiological processes. There is therefore no unique network for a given cellular process, but potentially many realizations, each with different properties as a consequence of regulatory mechanisms. Such realizations provide snapshots of a same network in different conditions, enabling the study of condition-dependent structural properties. True dynamical analysis can be obtained through detailed mathematical modeling techniques that are not easily scalable to full network models.
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Graph theory analysis revealed that the inferred GRN configurations resemble a scale-free network whose degree distribution follows a power law, a characteristic configuration of biological networks.
“Graph theory analysis revealed that these inferred GRN configurations resemble a scale-free network the degree distribution of which follows a power law, a characteristic configuration of biological networks63 (Extended Data Fig. 3b).”
From Dissecting cell identity via network inference and in silico gene perturbation (2023) · cites this paper as [63]
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References 152 · Cited by 34
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Research works printed but not linked: 2
- Wuchty S. Interaction and domain networks of yeast. Proteomics 2002;2:1715-23.
- Ding D-wu, He X-qing, Science C. Application of eigenvector centrality in metabolic networks. In 2010 2nd International Conference on Computer Engineering andTechnology, 2010. 89-91.
- Authors
- Klein, C., Marino, A., Sagot, M.-F., Vieira Milreu, P., & Brilli, M.
- Affiliations
- Institut national de recherche en sciences et technologies du numérique (FR)
- Centre National de la Recherche Scientifique (FR)
- Venue
- Briefings in Functional Genomics
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-08-19
- Volume
- 11
- Issue
- 6
- Pages
- 420-433
- ISSN
- 2041-2647 (ISSN-L)
- 2041-2657
- 2041-2649
- OpenAlex
- W2167669151
- Cited by
- 34
- References
- 152
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 5 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 2 · 2012: 3
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Briefings in Functional Genomics (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- Florence Research (University of Florence) (submittedVersion)
- Funders
- Institut national de recherche en informatique et en automatique (INRIA)
- Agence Nationale de la Recherche (ANR-08-BLAN-0293)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- biological networks, network dynamics, network realization, gene regulatory networks, protein-protein interaction network
- MeSH terms
- Algorithms, Models, Theoretical, Gene Regulatory Networks
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