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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
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Precision materials: Computational design methods of accurate protein materials
Shunzhi Wang1, Ariel J Ben-Sasson2
1Department of Biochemistry, University of Washington, Seattle, WA, USA; Institute for Protein Design, University of Washington, Seattle, WA, USA.
Current Opinion in Structural Biology
|April 15, 2022
Summary
Computational protein engineering enables de novo design of programmable protein materials, surpassing evolutionary limits. New methods accelerate the creation of well-defined protein assemblies with diverse architectures for advanced synthetic and biological applications.
Area of Science:
- Protein engineering
- Computational biology
- Materials science
Background:
- Nature utilizes ordered protein assembly for diverse structures and functions.
- Traditional methods involve studying, mimicking, and repurposing natural protein materials.
- Computational protein engineering offers a de novo design approach, overcoming evolutionary constraints.
Purpose of the Study:
- To highlight advancements in designing structurally well-defined, programmable protein materials.
- To showcase computational methods that accelerate the design process.
- To demonstrate the creation of diverse protein assemblies with tailored functions.
Main Methods:
- Implementing hierarchical assembly and geometric sampling (docking) for designable backbones with symmetry constraints.
- Utilizing Rosetta software for protein-protein interface and sequence design.
- Applying computational strategies to drive programmable supramolecular assemblies.
Main Results:
- Successful generation of protein assemblies in 0-, 1-, 2-, and 3-dimensional architectures.
- Demonstration of single and multi-component protein assemblies.
- Integration of designed protein assemblies within synthetic or biological systems.
Conclusions:
- Computational protein engineering methods significantly accelerate the design of programmable protein materials.
- These approaches enable the creation of diverse, structurally defined protein assemblies.
- The developed methods are poised to revolutionize the design of next-generation synthetic and biological materials.
