Cited by 3,632Gene Regulatory Network AnalysisPhilosophy and History of ScienceBioinformatics and Genomic Networks

From molecular to modular cell biology.

Hartwell, Leland H., Hopfield, John J., Leibler, Stanislas, Murray, Andrew W.·1999·Nature

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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Crossref · 10.1038/35011540

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35 of 35 references verified0 citation errors · 0 not checkable

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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
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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