Sven Panke

Chimerophore antibiotics: engineered multimodal host defense peptides

The paper designs chimerophore antibiotics by fusing non-lytic HDPs to create multimodal peptides with broad-spectrum activity and serum tolerance.

Peptide Barcodes for miRNA activity assessment in mammalian cells

This study introduces peptide barcodes to measure multiple miRNA activities in parallel, validated by fluorescent reporters, and demonstrates robust profiling across three cell lines.

Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning

This paper improves enzyme engineering by combining active learning and experimental screening to efficiently discover high-performing artificial metalloenzymes.

Signal peptide efficiency: from high-throughput data to prediction and explanation

The paper evaluates 12,000 signal peptides using a high-throughput assay, trains a machine learning model to predict secretion efficiency, and explains the model's features.

Systematic investigation of synthetic operon designs enables prediction and control of expression levels of multiple proteins

The paper systematically investigates synthetic operon designs to predict and control protein expression levels in bacterial hosts using machine learning.

Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions

This paper introduces a systematic platform for engineering artificial metalloenzymes to enhance their catalytic activity for new-to-nature reactions.