Performance Prediction of Fundamental Transcriptional Programs-Reference-Cited by-同舟云学术

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Performance Prediction of Fundamental Transcriptional Programs

Published:2023-03-20 Issue:4 Volume:12 Page:1094-1108
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Milner Prasaad T.¹,Zhang Ziqiao²^ORCID,Herde Zachary D.¹^ORCID,Vedire Namratha R.³,Zhang Fumin²,Realff Matthew J.¹^ORCID,Wilson Corey J.¹^ORCID

Affiliation:

1. School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States

2. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States

3. School of Computer Science, Georgia Institute of Technology, Atlanta, Georgia 30332-2000, United States

Funder

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acssynbio.2c00593

Reference39 articles.

1. Directed evolution of a genetic circuit

2. Diversity-based, model-guided construction of synthetic gene networks with predicted functions

3. Synthetic circuits integrating logic and memory in living cells

4. Genomic mining of prokaryotic repressors for orthogonal logic gates

5. Genetic circuit design automation

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1. The logic devices for biomolecular computing: Progress, strategies, and future directions;Nano Today;2024-08

2. Sequence-Based Protein Design: A Review of Using Statistical Models to Characterize Coevolutionary Traits for Developing Hybrid Proteins as Genetic Sensors;International Journal of Molecular Sciences;2024-07-30

3. A domain swapping strategy to create modular transcriptional regulators for novel topology in genetic network;Biotechnology Advances;2024-05

4. Chemical Reaction Models in Synthetic Promoter Design in Bacteria;Methods in Molecular Biology;2024

5. Next generation synthetic memory via intercepting recombinase function;Nature Communications;2023-08-29

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