Simon d’Oelsnitz

This paper demonstrates the production of galantamine in yeast through pathway engineering and optimization, achieving a 173-fold improvement over the parental strain.

This study develops biosensors for MIAs and identifies metabolic engineering hits to enhance MIA production in yeast.

The paper introduces GROQ-seq, a high-throughput platform for linking protein function to sequencing data, and presents pilot datasets for transcription factors, polymerases, and proteases.

Ligify 2.0 predicts small molecule interactions with transcription factors and provides a web interface for visualization and biosensor design.

evedesign provides a unified framework for conditional biosequence design, enabling multiobjective workflows and experimental integration across various applications.

groovDB is updated to be community-editable with enhanced features, doubling its TF entries and making source code open-access.

This paper develops a L-DOPA sensing system and improves biosynthesis via directed evolution, achieving high-efficiency incorporation into proteins.

Ligify predicts transcription factors responsive to user-defined chemicals and generates plasmids for biosensor development, achieving 31/100 correct predictions in benchmarking.

The paper develops a biosensor-AI system to engineer E. coli for efficient production of amaryllidaceae alkaloids, achieving improved titer and reduced byproducts.

Snowprint predicts regulator:DNA interactions and designs promoters for uncharacterized regulators, enabling the discovery of new biosensors for various compounds.

The paper describes the directed evolution of biosensors to improve detection of phloroglucinol and related single-ring aromatics.

GroovDB is a database of ligand-inducible transcription factors that provides curated data for building chemically-responsive genetic circuits.

This paper evolves highly specific and sensitive biosensors for alkaloids using a combined screening and selection approach, enabling improved microbial production of therapeutic plant metabolites.

This paper evolves a generalist biosensor for bicyclic monoterpenes using directed evolution and a novel screening method.