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

Molecules, Journal Year: 2024, Volume and Issue: 29(15), P. 3512 - 3512

Published: July 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.

Language: Английский

Microbial Transcription Factor-Based Biosensors: Innovations from Design to Applications in Synthetic Biology

Biosensors, Journal Year: 2025, Volume and Issue: 15(4), P. 221 - 221

Published: March 31, 2025

Transcription factor-based biosensors (TFBs) are powerful tools in microbial biosensor applications, enabling dynamic control of metabolic pathways, real-time monitoring intracellular metabolites, and high-throughput screening (HTS) for strain engineering. These systems use transcription factors (TFs) to convert metabolite concentrations into quantifiable outputs, precise regulation fluxes biosynthetic efficiency cell factories. Recent advancements TFB, including improved sensitivity, specificity, range, have broadened their applications synthetic biology industrial biotechnology. Computational such as Cello further revolutionized TFB design, silico optimization construction complex genetic circuits integrating multiple signals achieving gene regulation. This review explores innovations biosensors, role engineering adaptive evolution, future integration with artificial intelligence advanced technologies overcome critical challenges bioproduction.

Language: Английский

Extending dynamic and operational range of the biosensor responding to L-carnitine by directed evolution

Synthetic and Systems Biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский