Deep Learning Concepts and Applications for Synthetic Biology-Reference-Cited by-同舟云学术

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Deep Learning Concepts and Applications for Synthetic Biology

Published:2022-08-01 Issue:4 Volume:1 Page:360-371
ISSN:2768-1572
Container-title:GEN Biotechnology
language:en
Short-container-title:GEN Biotechnology

Author:

Beardall William A.V.¹²,Stan Guy-Bart¹²,Dunlop Mary J.³⁴^ORCID

Affiliation:

1. Department of Bioengineering, Imperial College London, London, United Kingdom

2. Imperial College Centre of Excellence in Synthetic Biology, Imperial College London, London, United Kingdom

3. Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA

4. Biological Design Center, Boston University, Boston, Massachusetts, USA.

Publisher

Mary Ann Liebert Inc

Link

https://www.liebertpub.com/doi/pdf/10.1089/genbio.2022.0017

Reference103 articles.

1. The second decade of synthetic biology: 2010–2020

2. Model-driven generation of artificial yeast promoters

3. Highly accurate protein structure prediction with AlphaFold

4. Designing Eukaryotic Gene Expression Regulation Using Machine Learning

5. Artificial intelligence for synthetic biology

Cited by 11 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. Prediction of viral families and hosts of single-stranded RNA viruses based on K-Mer coding from phylogenetic gene sequences;Computational Biology and Chemistry;2024-10

2. The Transformative Role of Artificial Intelligence in Advancing Bovine Reproductive Biology;Advances in Medical Diagnosis, Treatment, and Care;2024-05-30

3. Unlocking the Transformative Power of Synthetic Biology;Archives of Biotechnology and Biomedicine;2024-04-18

4. Deep model predictive control of gene expression in thousands of single cells;Nature Communications;2024-03-08

5. The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks;Frontiers in Bioengineering and Biotechnology;2024-02-28

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