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Thomas Brück

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Open access Jul 2026

Fluorescence-Activated Cell Sorting Enables Rapid Screening of RNA Polymerase–Promoter Interaction in E. coli

RNA polymerases are essential in the enzymatic synthesis of RNA via in vitro transcription. The resulting mRNA transcripts have been investigated more and more as therapeutics in clinical studies. Therefore, it is important that these enzymes possess a high specificity. Despite their utility, many commercially available RNA polymerases are limited by their tendency to generate abortive transcripts and undesired byproducts. To ensure high specificity, optimal pairing between the RNA polymerase and its cognate promoter is vital. However, current promoter characterization techniques remain laborious and time-consuming, thereby limiting efficient and rapid RNA-polymerase applications. In this work, we describe a high-throughput strategy for rapid promoter identification using a two-plasmid screening platform in E. coli. Cell populations are analyzed and sorted via fluorescence-activated cell sorting (FACS), followed by sequence verification. Functionality of the screening platform was validated via cell sorting, based on high fluorescence, of a mixed population containing T7 RNA polymerase paired with three different promoters. Moreover, the screening system was evaluated by using two recently identified RNA polymerases in combination with their respective cognate promoters. This proof-of-concept facilitates the identification of both RNA polymerase and promoter. Further, it substantially accelerates promoter characterization, thereby supporting improvements regarding mRNA manufacturing workflows.

Lilian Göldel, Ralph Krafczyk, Romina Rathberger et al. · 0 citations
Review Open access Jul 2026

Bridging Algorithms and Biocatalysis: Perspectives on AI-Supported Enzyme Engineering

Recent advances in AI-based computational enzyme design are presented, discussing the main challenges in the field and how a combination with classical physics-based methods could help overcome them.

Rosa Teijeiro-Juiz, Thomas B Brück, Bernhard Loll · 0 citations
Review Open access Jul 2026

Applications and limitations of AI tools in enzyme design

A comprehensive introduction and overview of several current artificial intelligence (AI)‐driven methods available for enzyme design, with a focus on reaction‐to‐sequence design, structure prediction, substrate scope prediction, engineering of stable variants, design of enzymes with non‐canonical amino acids, and de novo design is offered.

Rosa Teijeiro-Juiz, Nina Egeler, Grzegorz Jamróg et al. · 2 citations