Synthetic translational coupling system for accurate and predictable polycistronic gene expression control in bacteria DOI
Yong Hee Han, Hyeon Jin Kim, Keonwoo Kim

et al.

Metabolic Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Responsible AI in biotechnology: balancing discovery, innovation and biosecurity risks DOI Creative Commons
Nicole E. Wheeler

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 5, 2025

The integration of artificial intelligence (AI) in protein design presents unparalleled opportunities for innovation bioengineering and biotechnology. However, it also raises significant biosecurity concerns. This review examines the changing landscape bioweapon risks, dual-use potential AI-driven tools, necessary safeguards to prevent misuse while fostering innovation. It highlights emerging policy frameworks, technical safeguards, community responses aimed at mitigating risks enabling responsible development application AI design.

Language: Английский

Citations

1
Advancing microbiota therapeutics: the role of synthetic biology in engineering microbial communities for precision medicine DOI Creative Commons
Asiya Nazir,

Fathima Hasnain Nadeem Hussain,

Afsheen Raza

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 4, 2024

Over recent years, studies on microbiota research and synthetic biology have explored novel approaches microbial manipulation for therapeutic purposes. However, fragmented information is available this aspect with key insights scattered across various disciplines such as molecular biology, genetics, bioengineering, medicine. This review aims to the transformative potential of in advancing microbiome therapies, significant implications healthcare, agriculture, environmental sustainability. By merging computer science, engineering, allows precise design modification biological systems via cutting edge technologies like CRISPR/Cas9 gene editing, metabolic oligonucleotide synthesis, thus paving way targeted treatments personalized probiotics engineered microorganisms. The will also highlight vital role gut disorders caused by its dysbiosis suggesting microbiota-based therapies innovations biosensors real-time health monitoring, non-invasive diagnostic tools, automated bio foundries better outcomes. Moreover, challenges including genetic stability, safety, robust regulatory frameworks be discussed understand importance ongoing ensure safe effective interventions.

Language: Английский

Citations

6
Efficient biological funneling of lignin into 2-pyrone-4,6-dicarboxylic acid via electrocatalytic depolymerization and genetically engineered Pseudomonas putida KT2440 DOI

Siseon Lee,

Byoung Wook Jeon,

Jae Young Seong

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 141657 - 141657

Published: March 1, 2025

Language: Английский

Citations

0
Advancing biofoundry development: strategies and challenges DOI

Aporva Gupta,

Seung‐Goo Lee, Bong Hyun Sung

et al.

Biotechnology and Bioprocess Engineering, Journal Year: 2024, Volume and Issue: 29(5), P. 771 - 778

Published: July 2, 2024

Language: Английский

Citations

3
Harnessing acetogenic bacteria for one-carbon valorization toward sustainable chemical production DOI Creative Commons

Jiyun Bae,

Chanho Park, Hyun-Woo Jung

et al.

RSC Chemical Biology, Journal Year: 2024, Volume and Issue: 5(9), P. 812 - 832

Published: Jan. 1, 2024

The pressing climate change issues have intensified the need for a rapid transition towards bio-based circular carbon economy. Harnessing acetogenic bacteria as biocatalysts to convert C1 compounds such CO

Language: Английский

Citations

1
A machine learning framework for extracting information from biological pathway images in the literature DOI

Mun Su Kwon,

Junkyu Lee, Hyun Uk Kim

et al.

Metabolic Engineering, Journal Year: 2024, Volume and Issue: 86, P. 1 - 11

Published: Sept. 3, 2024

Language: Английский

Citations

1
Deep learning for NAD/NADP cofactor prediction and engineering using transformer attention analysis in enzymes DOI

Jaehyung Kim,

Jihoon Woo,

Joon Young Park

et al.

Metabolic Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

1
Automated characterization and analysis of expression compatibility between regulatory sequences and metabolic genes in Escherichia coli DOI Creative Commons
Wen Xiao, Jia‐Wei Lin,

Chunhe Yang

et al.

Synthetic and Systems Biotechnology, Journal Year: 2024, Volume and Issue: 9(4), P. 647 - 657

Published: May 17, 2024

Utilizing standardized artificial regulatory sequences to fine-tuning the expression of multiple metabolic pathways/genes is a key strategy in creation efficient microbial cell factories. However, when sequence strengths are characterized using only few reporter genes, they may not be applicable across diverse genes. This introduces great uncertainty into precise regulation genes at levels. To address this, our study adopted fluorescent protein fusion for more accurate assessment target We combined 41 commonly-used with 15 sequences, yielding an dataset encompassing 520 unique combinations. highlighted substantial variation level under identical relative levels ranging from 2.8 176-fold. It also demonstrated that improving strength does necessarily lead significant improvements proteins. this dataset, we have developed various machine learning models and discovered integration promoter regions, ribosome binding sites, coding significantly improves accuracy predicting levels, Spearman correlation coefficient 0.72, where exerts predominant influence. Our aims provide detailed guide gene engineering

Language: Английский

Citations

0
Generation of a Vibrio-based Platform for Efficient Conversion of Raffinose through Adaptive Laboratory Evolution on a Solid Medium DOI
Sunghwa Woo, Yong Hee Han, Hye Kyung Lee

et al.

Metabolic Engineering, Journal Year: 2024, Volume and Issue: 86, P. 300 - 307

Published: Nov. 1, 2024

Language: Английский

Citations

0
Synthetic translational coupling system for accurate and predictable polycistronic gene expression control in bacteria DOI
Yong Hee Han, Hyeon Jin Kim, Keonwoo Kim

et al.

Metabolic Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

0