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Cited by 273

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

SIMULATION OF PROKARYOTIC GENETIC CIRCUITS

McAdams, Harley H., Arkin, Adam·1998·Annual Review of Biophysics and Biomolecular Structure

Abstract

▪ Abstract Biochemical and genetic approaches have identified the molecular mechanisms of many genetic reactions, particularly in bacteria. Now a comparably detailed understanding is needed of how groupings of genes and related protein reactions interact to orchestrate cellular functions over the cell cycle, to implement preprogrammed cellular development, or to dynamically change a cell's processes and structures in response to environmental signals. Simulations using realistic, molecular-level models of genetic mechanisms and of signal transduction networks are needed to analyze dynamic behavior of multigene systems, to predict behavior of mutant circuits, and to identify the design principles applicable to design of genetic regulatory circuits. When the underlying design rules for regulatory circuits are understood, it will be far easier to recognize common circuit motifs, to identify functions of individual proteins in regulation, and to redesign circuits for altered functions.

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Crossref · 10.1146/annurev.biophys.27.1.199

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Metadata

Authors
McAdams, H. H., & Arkin, A.
Venue
Annual Review of Biophysics and Biomolecular Structure
Published
1998-06
Volume
27
Issue
1
Pages
199-224
ISSN
  • 1056-8700 (ISSN-L)
  • 1545-4266
OpenAlex
W2074743596
Cited by
273
References
83
FWCI
5.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: SIMULATION OF PROKARYOTIC GENETIC CIRCUITS. https://app.cochat.ai/papers/10.1146/annurev.biophys.27.1.199
The paper
McAdams, H. H., & Arkin, A. (1998). SIMULATION OF PROKARYOTIC GENETIC CIRCUITS. Annual Review of Biophysics and Biomolecular Structure. https://doi.org/10.1146/annurev.biophys.27.1.199

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.