Ditte Hededam Welner

PRIZM uses low-N data and zero-shot models to rank protein variants, improving design efficiency with minimal experimental data.

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

This study uses zero-shot models to predict activity-enhancing mutations in fluorinase, leading to improved catalytic efficiency and stability in engineered variants.

The paper reports engineered sucrose synthase variants with enhanced activity and stability for efficient glycosylation, achieving high conversion yields and reduced environmental impact.

The paper identifies a plant beta-glucosidase capable of hydrolyzing an N-linked glycopyranoside, expanding the known substrate range of Bgls and highlighting their potential in biocatalytic applications.

This paper develops an enzymatic method to glycosylate anthranilates, producing MANT-N-glucose with improved microbial production and bird repellent efficacy.

This study elucidates the molecular mechanism of polysaccharide lyases involved in alginate degradation using structural and computational methods.

This paper describes a method to evolve and functionalize biosensors in yeast by optimizing ligand specificity and transfer functions through directed evolution.