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Updated: Jul 17, 2025
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
17.1K
The design of functional proteins using tensorized energy calculations
Kateryna Maksymenko1,2, Andreas Maurer3,4, Narges Aghaallaei5
1Department of Protein Evolution, Max Planck Institute for Biology, 72076 Tübingen, Germany.
Cell Reports Methods
|September 6, 2023
Summary
This study introduces a tensorized energy calculation framework for protein design, significantly improving throughput and accuracy. The method successfully engineered proteins for anti-cancer therapies and radio-tracing, demonstrating broad applicability.
Area of Science:
- Computational Biology
- Protein Engineering
- Biophysics
Background:
- Protein design requires efficient estimation of energy for sequence-conformer perturbations.
- Improved energy calculations enhance design success rates and complexity.
- Current methods face limitations in throughput and accuracy for large-scale protein design.
Purpose of the Study:
- To explore tensorization of energy calculations for protein design.
- To develop and apply a novel protein design framework.
- To engineer proteins with enhanced anti-cancer and radio-tracing functionalities.
Main Methods:
- Developed a tensorized energy calculation approach.
- Integrated tensorized calculations into a protein design framework.
- Applied the framework to design multispecific binders and high-affinity metal ion binders.
Main Results:
- Designed multispecific binders targeting epidermal growth factor receptor (EGFR) ligands.
- Demonstrated inhibition of EGFR activity both in vitro and in vivo.
- Engineered high-affinity Cu2+ binders with serum stability and facile copper-64 radionuclide loading.
Conclusions:
- The tensorized energy calculation framework significantly enhances protein design efficiency.
- The designed proteins exhibit superior functional properties for therapeutic and diagnostic applications.
- This approach shows generalizable potential for tackling complex protein design challenges.
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