From molecular to modular cell biology.
Abstract
Cellular functions, such as signal transmission, are carried out by 'modules' made up of many species of interacting molecules. Understanding how modules work has depended on combining phenomenological analysis with molecular studies. General principles that govern the structure and behaviour of modules may be discovered with help from synthetic sciences such as engineering and computer science, from stronger interactions between experiment and theory in cell biology, and from an appreciation of evolutionary constraints.
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- Authors
- Hartwell, L. H., Hopfield, J. J., Leibler, S., & Murray, A. W.
- Affiliations
- Fred Hutch Cancer Center (US)
- Princeton University (US)
- University of California, San Francisco (US)
- Venue
- Nature
- Published
- 1999-12-02
- Volume
- 402
- Issue
- S6761
- Pages
- C47-C52
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1644749979
- Cited by
- 3,632
- References
- 35
- Citations by year
- 2026: 60 · 2025: 58 · 2024: 83 · 2023: 86 · 2022: 83 · 2021: 106 · 2020: 111 · 2019: 105 · 2018: 130 · 2017: 140 · 2016: 115 · 2015: 147 · 2014: 161 · 2013: 232 · 2012: 186
- FWCI
- 19.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- signal transduction, molecular interactions, synthetic biology, computational modeling of cells, evolutionary constraints
- MeSH terms
- Action Potentials, Biological Evolution, Forecasting, Models, Biological, Molecular Biology
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