AI-supported development of new technical enzymes

Research project SCREENTECH

Motivation and problem definition

Functional proteins are key components of numerous industrial processes and products, thus making a significant contribution to value creation in the bioeconomy. They enable sustainable and resource-efficient solutions in diverse fields of application. These include food production (e.g., cheese making, fermentation, juice clarification, and tissue maceration), crop protection, medical applications, and biohybrid systems, such as those used in sensor technology, artificial photosynthesis, and synthetic chemistry.

While naturally occurring protein sequences have predominantly been used to date, advances in structural elucidation, the understanding of structure-function relationships, and targeted protein engineering—increasingly supported by AI-based methods—are opening up new possibilities for the rational development of functional proteins.

With the availability of such in silico design methods, the need for suitable screening strategies is also increasing. Although the number of generated candidates is often lower than with classical evolutionary approaches, these candidates still need to be experimentally verified. Regardless of the design method used, the protein variants are produced in the laboratory and functionally characterized before being transferred to further product development steps, such as formulation and scale-up.

Objective and solution

The goal of the SCREENTECH project is to enable faster and more reliable in vitro evaluation of protein candidates using high-resolution assays. Suppliers and users of AI-supported protein design will be able to significantly improve their workflow in the product and candidate development process, from DNA sequencing to candidate selection, functional evaluation, and the generation of training data for model development. Fraunhofer IME's unique expertise in in vitro transcription-translation (IVTT) lysate development, combined with its competencies in assay development and automation, will be leveraged to develop the first IVTT lysate-based screening approach. This new platform is based on the license-free and food-grade Open Pichia yeast system, which will enable the functional expression of recombinant proteins (both simple and, in particular, complex folded proteins) in combination with innovative spectroscopic assay formats within an integrated workflow. The proposed, high-performance, comprehensive solution for protein candidate screening is classified as GMO-free and enables industrial partners in the field of AI-supported protein design to overcome the critical development hurdle of transitioning from in silico design to actual functional evaluation.


By providing this platform, companies will be supported in developing better technical enzymes for applications in all areas of life and industry more quickly and cost-effectively.

Project profile

Project title SCREENTECH: Integrated expression and screening solution as a key technology in the workflow of modeling and AI-supported development of functional proteins and ligands for industrial applications
Duration 01/2026 - 31/2027
Funding

Funding programme "SME" of the  Fraunhofer Society

Project Investigator Holger Spiegel
Objectives
  • Development of a robust IVTT lysate from Open Pichia for simple and oxidatively folded proteins
  • Development of innovative lysate-compatible spectroscopic assay formats for the functional evaluation of protein candidates
  • Integration, establishment, and benchmarking of an exemplary IVTT-based prototype workflow

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Holger Spiegel

Contact Press / Media

Dipl.-Biol. Holger Spiegel

Head of Department »Advanced Detection and Screening Solutions for Biomolecules«

Fraunhofer Institute for Molecular Biology and Applied Ecology IME
Forckenbeckstr. 6
52074 Aachen

Phone +49 241 6085-209

Matthias Buntru

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Dr. Matthias Buntru

Fraunhofer Institute for Molecular Biology and Applied Ecology IME
Forckenbeckstr. 6
52074 Aachen

Phone +49 241 6085-142