Design and designability of protein-based assemblies
Abstract
Design of protein-based assemblies is an exciting frontier in molecular engineering. It can be seen as an extension of the protein design problem, but with some added hurdles. In recent years, much of the focus in the field has been on patterning existing protein structural units (proteins, oligomers, or structural motifs) to design diverse assembly geometries, focusing on symmetry to encode both "infinite" lattices and finite-sized supramolecular particles. Despite impressive successes, several key challenges remain. Among these are the specificity problem the need to engineer preference for the intended assembly geometry over all alternatives, and the folding problem--understanding what thermodynamic or kinetic features of assembly subunits and inter-subunit interfaces lead to successfully folding superstructures and how to encode these in the amino-acid sequence. Here we focus on recent results in the context of these two problems, summarizing commonalities in successful approaches. We find that natural designability of assembly elements (i.e., their compatibility with diverse populations of natural amino-acid sequences) may be a unifying property of successful designs.
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Natural proteins are known to fold only to a limited number of folds.
“Natural proteins are known to fold only to a limited number of folds.”
From Using statistical methods to model the fine-tuning of molecular machines and systems (2020) · cites this paper as Zhang et al., 2014
Cites
Templates are available to model nearly all complexes of structurally characterized proteins
Kundrotas, P. J., Zhu, Z., Janin, J., & Vakser, I. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200678109 · Cited by 179 · see citing works
Trigg, J., Gutwin, K., Keating, A. E., & Berger, B. (2011) · PLoS One · doi:10.1371/journal.pone.0023519 · Cited by 91 · see citing works
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Using statistical methods to model the fine-tuning of molecular machines and systems
Thorvaldsen, S., & Hössjer, O. (2020) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2020.110352 · Cited by 15 · see citing works
- Authors
- Zhang, J., Zheng, F., & Grigoryan, G.
- Affiliations
- Dartmouth College (US)
- Corresponding author
- Grigoryan, Gevorg
- Venue
- Current Opinion in Structural Biology
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 27
- Pages
- 79-86
- ISSN
- 0959-440X (ISSN-L)
- OpenAlex
- W2084651390
- Cited by
- 30
- References
- 2
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 9 · 2015: 7 · 2014: 1
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Structural Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- NSF (CNS-1205521)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Materials Science › Biomaterials › Supramolecular Self-Assembly in Materials
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biochemical and Structural Characterization
- Keywords
- protein design, designability, supramolecular self-assembly, symmetry, molecular engineering
- MeSH terms
- Proteins, Protein Engineering, Protein Structure, Secondary, Protein Folding, Protein Structure, Quaternary, Protein Multimerization
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