Self-adaptive biosystems through tunable genetic parts and circuits-Reference-Cited by-同舟云学术

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Self-adaptive biosystems through tunable genetic parts and circuits

Published:2020-12 Issue: Volume:24 Page:78-85
ISSN:2452-3100
Container-title:Current Opinion in Systems Biology
language:en
Short-container-title:Current Opinion in Systems Biology

Author:

Bartoli Vittorio,di Bernardo Mario,Gorochowski Thomas E.

Funder

Engineering and Physical Sciences Research Council

Horizon 2020

Biotechnology and Biological Sciences Research Council

Royal Society

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Science Applications,Drug Discovery,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation

Reference73 articles.

1. Memory and combinatorial logic based on DNA inversions: dynamics and evolutionary stability;Fernandez-Rodriguez;ACS Synth Biol,2015

2. Designing and engineering evolutionary robust genetic circuits;Sleight;J Biol Eng,2010

3. Genetic circuit characterization and debugging using RNA-seq;Gorochowski;Mol Syst Biol,2017

4. Using synthetic biological parts and microbioreactors to explore the protein expression characteristics of Escherichia coli;Gorochowski;ACS Synth Biol,2014

5. Genetic circuit performance under conditions relevant for industrial bioreactors;Moser;ACS Synth Biol,2012

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1. Transfer learning for cross-context prediction of protein expression from 5’UTR sequence;Nucleic Acids Research;2024-06-12

2. Adaptive Metal Ion Transport and Metalloregulation Drive Fate Differentiation in Pluripotent Synthetic Cells;2023-08-04

3. Transfer learning for cross-context prediction of protein expression from 5’UTR sequence;2023-04-01

4. Inducible plasmid copy number control for synthetic biology in commonly used E. coli strains;Nature Communications;2022-11-05

5. Engineering genetic circuits: advancements in genetic design automation tools and standards for synthetic biology;Current Opinion in Microbiology;2022-08

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