Abstract

To better understand how amino acid sequence encodes protein structure, we engineered mutational pathways that connect three common folds (3α, β−grasp, and α/β−plait). The structures of proteins at high sequence-identity intersections in the pathways (nodes) were determined using NMR spectroscopy and analyzed for stability and function. To generate nodes, the amino acid sequence encoding a smaller fold is embedded in the structure of an ~50% larger fold and a new sequence compatible with two sets of native interactions is designed. This generates protein pairs with a 3α or β−grasp fold in the smaller form but an α/β−plait fold in the larger form. Further, embedding smaller antagonistic folds creates critical states in the larger folds such that single amino acid substitutions can switch both their fold and function. The results help explain the underlying ambiguity in the protein folding code and show that new protein structures can evolve via abrupt fold switching.

In this work the authors investigate the structure-sequence dependance. The ability to design and characterize proteins at interfaces between three common folds suggests that fold switching is an intrinsic feature of protein folding language and likely important in the evolution of protein structure and function.

Details

Title
Design and characterization of a protein fold switching network
Author
Ruan, Biao 1 ; He, Yanan 2 ; Chen, Yingwei 1 ; Choi, Eun Jung 1 ; Chen, Yihong 2 ; Motabar, Dana 3   VIAFID ORCID Logo  ; Solomon, Tsega 4 ; Simmerman, Richard 1 ; Kauffman, Thomas 4 ; Gallagher, D. Travis 5 ; Orban, John 4   VIAFID ORCID Logo  ; Bryan, Philip N. 6   VIAFID ORCID Logo 

 Potomac Affinity Proteins, North Potomac, USA (GRID:grid.423246.5) 
 University of Maryland, Institute for Bioscience and Biotechnology Research, Rockville, USA (GRID:grid.440664.4) (ISNI:0000 0001 0313 4029) 
 Potomac Affinity Proteins, North Potomac, USA (GRID:grid.423246.5); University of Maryland, Department of Bioengineering, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
 University of Maryland, Institute for Bioscience and Biotechnology Research, Rockville, USA (GRID:grid.440664.4) (ISNI:0000 0001 0313 4029); University of Maryland, Department of Chemistry and Biochemistry, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
 University of Maryland, Institute for Bioscience and Biotechnology Research, Rockville, USA (GRID:grid.440664.4) (ISNI:0000 0001 0313 4029); National Institute of Standards and Technology and the University of Maryland, Rockville, USA (GRID:grid.94225.38) (ISNI:000000012158463X) 
 Potomac Affinity Proteins, North Potomac, USA (GRID:grid.423246.5); University of Maryland, Institute for Bioscience and Biotechnology Research, Rockville, USA (GRID:grid.440664.4) (ISNI:0000 0001 0313 4029) 
Pages
431
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2769875594
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.