Biological robustness
Abstract
Robustness is a ubiquitously observed property of biological systems. It is considered to be a fundamental feature of complex evolvable systems. It is attained by several underlying principles that are universal to both biological organisms and sophisticated engineering systems. Robustness facilitates evolvability and robust traits are often selected by evolution. Such a mutually beneficial process is made possible by specific architectural features observed in robust systems. But there are trade-offs between robustness, fragility, performance and resource demands, which explain system behaviour, including the patterns of failure. Insights into inherent properties of robust systems will provide us with a better understanding of complex diseases and a guiding principle for therapy design.
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Resilience differs from flexibility, agility, and robustness.
“In this function, resilience differs from related constructs such as flexibility, agility or robustness.”
From Organizational resilience: a capability-based conceptualization (2020) · cites this paper as Kitano 2004
Robustness may exist in a system despite a lack of robustness in its components, and biology abounds in this type of consistency.
“Robustness may exist in a system despite a lack of robustness in its components, and biology abounds in this type of consistency (Kitano 2004).”
From Religion as a Complex and Dynamic System (2013) · cites this paper as Kitano 2004
SCC detection has been shown to be a powerful approach for subsystem identification, unraveling the presence of nested organizations.
“It is worth to mention that SCC detection has been shown as a powerful approach for subsystem identification [15, 42, 43] unraveling the presence of nested organizations.”
From On the origins of hierarchy in complex networks (2013) · cites this paper as [42]
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“Finally, securing such systems demands runtime, adaptive defenses that detect anomalies in evolving interaction patterns rather than relying on fixed signatures, and that embed self-healing mechanisms inspired by biological robustness (Kitano, 2004).”
- Authors
- Kitano, H.
- Affiliations
- Systems Biology Institute (JP)
- Venue
- Nature Reviews Genetics
- Published
- 2004-11
- Volume
- 5
- Issue
- 11
- Pages
- 826-837
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2296679604
- Cited by
- 2,278
- References
- 108
- Citations by year
- 2026: 155 · 2025: 104 · 2024: 97 · 2023: 88 · 2022: 96 · 2021: 103 · 2020: 99 · 2019: 90 · 2018: 134 · 2017: 119 · 2016: 139 · 2015: 109 · 2014: 141 · 2013: 116 · 2012: 117
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- SICE Annual Conference (SICE) (publishedVersion)
- PubMed (publishedVersion)
- Society of Instrument and Control Engineers of Japan
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Keywords
- biological robustness, evolvability, system architecture, failure patterns, complex diseases, therapy design
- MeSH terms
- Adaptation, Biological, Animals, Disease, Feedback, Humans
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