Computational design of biological circuits: putting parts into context-Reference-Cited by-同舟云学术

Computational design of biological circuits: putting parts into context

Published:2017 Issue:4 Volume:2 Page:410-421
ISSN:2058-9689
Container-title:Molecular Systems Design & Engineering
language:en
Short-container-title:Mol. Syst. Des. Eng.

Author:

Karamasioti Eleni¹²³⁴⁵^ORCID,Lormeau Claude¹²³⁴⁵^ORCID,Stelling Jörg¹²³⁴^ORCID

Affiliation:

1. Department of Biosystems Science and Engineering and SIB Swiss Institute of Bioinformatics

2. ETH Zurich

3. 4058 Basel

4. Switzerland

5. PhD Program Systems Biology

Abstract

We review computational approaches to deal with uncertainty and context-dependence in the design of synthetic gene circuits.

Funder

Swiss National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,Biomedical Engineering,Chemical Engineering (miscellaneous),Chemistry (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2017/ME/C7ME00032D

Reference109 articles.

1. Integrating Biological Redesign: Where Synthetic Biology Came From and Where It Needs to Go

2. A brief history of synthetic biology

3. The second wave of synthetic biology: from modules to systems

4. Genetic circuit design automation

5. Principles of genetic circuit design

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TIR predictor and optimizer: Web‐tools for accurate prediction of translation initiation rate and precision gene design in Saccharomyces cerevisiae;Biotechnology Journal;2024-05

2. Efficient design of synthetic gene circuits under cell-to-cell variability;BMC Bioinformatics;2023-12-07

3. Robustness and innovation in synthetic genotype networks;Nature Communications;2023-04-28

4. Translation in the cell under fierce competition for shared resources: a mathematical model;Journal of The Royal Society Interface;2022-12

5. Synthetic genotype networks;2022-09-02