AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors

Molecules, Год журнала: 2024, Номер 29(15), С. 3512 - 3512

Опубликована: Июль 26, 2024

The rational design, activity prediction, and adaptive application of biological elements (bio-elements) are crucial research fields in synthetic biology. Currently, a major challenge the field is efficiently designing desired bio-elements accurately predicting their using vast datasets. advancement artificial intelligence (AI) technology has enabled machine learning deep algorithms to excel uncovering patterns bio-element data performance. This review explores AI design bio-elements, regulation transcription-factor-based biosensor response performance AI-designed elements. We discuss advantages, adaptability, challenges addressed by various applications, highlighting powerful potential analyzing data. Furthermore, we propose innovative solutions faced suggest future directions. By consolidating current demonstrating practical applications biology, this provides valuable insights for advancing both academic biotechnology.

Язык: Английский

---

Recent advances on engineering Escherichia coli and Corynebacterium glutamicum for efficient production of L-threonine and its derivatives

Metabolic Engineering, Год журнала: 2025, Номер 90, С. 1 - 15

Опубликована: Фев. 26, 2025

Язык: Английский

---

Combining biosensor and metabolic network optimization strategies for enhanced l-threonine production in Escherichia coli

Biotechnology for Biofuels and Bioproducts, Год журнала: 2025, Номер 18(1)

Опубликована: Март 26, 2025

Abstract l -threonine is an integral nutrient for mammals, often used in animal feeds to enhance growth and reduce breeding costs. Developing engineered strains that meet industrial production specifications has significant economic value. Here, we developed a biosensor monitors concentration assist high-throughput screening capture high-yielding mutants. Among them, the P cysK promoter CysB protein were construct primary biosensor, then T102A mutant was obtained through directed evolution resulting 5.6-fold increase fluorescence responsiveness of over 0–4 g/L range. In addition, metabolic network further optimized multi-omics analysis silico simulation. Ultimately, THRM13 strain produced 163.2 -threonine, with yield 0.603 g/g glucose 5 L bioreactor. The constructed here could be employed iterative upgrading subsequent strains, these engineering strategies described provide guidance other chemical overproducers. Graphical

Язык: Английский

---

Programming a bacterial biosensor for directed evolution of tryptophan hydroxylase via high-throughput droplet sorting

Biosensors and Bioelectronics, Год журнала: 2024, Номер 271, С. 117072 - 117072

Опубликована: Дек. 17, 2024

Язык: Английский

---