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De novo design of modular peptide-binding proteins by superhelical matching

General approaches for designing sequence-specific peptide-binding proteins would have wide utility in proteomics and synthetic biology. However, designing peptide-binding proteins is challenging, as most peptides do not have defined structures in isolation, and hydrogen bonds must be made to the bu...

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Autores principales: Wu, Kejia, Bai, Hua, Chang, Ya-Ting, Redler, Rachel, McNally, Kerrie E., Sheffler, William, Brunette, T. J., Hicks, Derrick R., Morgan, Tomos E., Stevens, Tim J., Broerman, Adam, Goreshnik, Inna, DeWitt, Michelle, Chow, Cameron M., Shen, Yihang, Stewart, Lance, Derivery, Emmanuel, Silva, Daniel Adriano, Bhabha, Gira, Ekiert, Damian C., Baker, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115654/
https://www.ncbi.nlm.nih.gov/pubmed/37020023
http://dx.doi.org/10.1038/s41586-023-05909-9
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author Wu, Kejia
Bai, Hua
Chang, Ya-Ting
Redler, Rachel
McNally, Kerrie E.
Sheffler, William
Brunette, T. J.
Hicks, Derrick R.
Morgan, Tomos E.
Stevens, Tim J.
Broerman, Adam
Goreshnik, Inna
DeWitt, Michelle
Chow, Cameron M.
Shen, Yihang
Stewart, Lance
Derivery, Emmanuel
Silva, Daniel Adriano
Bhabha, Gira
Ekiert, Damian C.
Baker, David
author_facet Wu, Kejia
Bai, Hua
Chang, Ya-Ting
Redler, Rachel
McNally, Kerrie E.
Sheffler, William
Brunette, T. J.
Hicks, Derrick R.
Morgan, Tomos E.
Stevens, Tim J.
Broerman, Adam
Goreshnik, Inna
DeWitt, Michelle
Chow, Cameron M.
Shen, Yihang
Stewart, Lance
Derivery, Emmanuel
Silva, Daniel Adriano
Bhabha, Gira
Ekiert, Damian C.
Baker, David
author_sort Wu, Kejia
collection PubMed
description General approaches for designing sequence-specific peptide-binding proteins would have wide utility in proteomics and synthetic biology. However, designing peptide-binding proteins is challenging, as most peptides do not have defined structures in isolation, and hydrogen bonds must be made to the buried polar groups in the peptide backbone(1–3). Here, inspired by natural and re-engineered protein–peptide systems(4–11), we set out to design proteins made out of repeating units that bind peptides with repeating sequences, with a one-to-one correspondence between the repeat units of the protein and those of the peptide. We use geometric hashing to identify protein backbones and peptide-docking arrangements that are compatible with bidentate hydrogen bonds between the side chains of the protein and the peptide backbone(12). The remainder of the protein sequence is then optimized for folding and peptide binding. We design repeat proteins to bind to six different tripeptide-repeat sequences in polyproline II conformations. The proteins are hyperstable and bind to four to six tandem repeats of their tripeptide targets with nanomolar to picomolar affinities in vitro and in living cells. Crystal structures reveal repeating interactions between protein and peptide interactions as designed, including ladders of hydrogen bonds from protein side chains to peptide backbones. By redesigning the binding interfaces of individual repeat units, specificity can be achieved for non-repeating peptide sequences and for disordered regions of native proteins.
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spelling pubmed-101156542023-04-21 De novo design of modular peptide-binding proteins by superhelical matching Wu, Kejia Bai, Hua Chang, Ya-Ting Redler, Rachel McNally, Kerrie E. Sheffler, William Brunette, T. J. Hicks, Derrick R. Morgan, Tomos E. Stevens, Tim J. Broerman, Adam Goreshnik, Inna DeWitt, Michelle Chow, Cameron M. Shen, Yihang Stewart, Lance Derivery, Emmanuel Silva, Daniel Adriano Bhabha, Gira Ekiert, Damian C. Baker, David Nature Article General approaches for designing sequence-specific peptide-binding proteins would have wide utility in proteomics and synthetic biology. However, designing peptide-binding proteins is challenging, as most peptides do not have defined structures in isolation, and hydrogen bonds must be made to the buried polar groups in the peptide backbone(1–3). Here, inspired by natural and re-engineered protein–peptide systems(4–11), we set out to design proteins made out of repeating units that bind peptides with repeating sequences, with a one-to-one correspondence between the repeat units of the protein and those of the peptide. We use geometric hashing to identify protein backbones and peptide-docking arrangements that are compatible with bidentate hydrogen bonds between the side chains of the protein and the peptide backbone(12). The remainder of the protein sequence is then optimized for folding and peptide binding. We design repeat proteins to bind to six different tripeptide-repeat sequences in polyproline II conformations. The proteins are hyperstable and bind to four to six tandem repeats of their tripeptide targets with nanomolar to picomolar affinities in vitro and in living cells. Crystal structures reveal repeating interactions between protein and peptide interactions as designed, including ladders of hydrogen bonds from protein side chains to peptide backbones. By redesigning the binding interfaces of individual repeat units, specificity can be achieved for non-repeating peptide sequences and for disordered regions of native proteins. Nature Publishing Group UK 2023-04-05 2023 /pmc/articles/PMC10115654/ /pubmed/37020023 http://dx.doi.org/10.1038/s41586-023-05909-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wu, Kejia
Bai, Hua
Chang, Ya-Ting
Redler, Rachel
McNally, Kerrie E.
Sheffler, William
Brunette, T. J.
Hicks, Derrick R.
Morgan, Tomos E.
Stevens, Tim J.
Broerman, Adam
Goreshnik, Inna
DeWitt, Michelle
Chow, Cameron M.
Shen, Yihang
Stewart, Lance
Derivery, Emmanuel
Silva, Daniel Adriano
Bhabha, Gira
Ekiert, Damian C.
Baker, David
De novo design of modular peptide-binding proteins by superhelical matching
title De novo design of modular peptide-binding proteins by superhelical matching
title_full De novo design of modular peptide-binding proteins by superhelical matching
title_fullStr De novo design of modular peptide-binding proteins by superhelical matching
title_full_unstemmed De novo design of modular peptide-binding proteins by superhelical matching
title_short De novo design of modular peptide-binding proteins by superhelical matching
title_sort de novo design of modular peptide-binding proteins by superhelical matching
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115654/
https://www.ncbi.nlm.nih.gov/pubmed/37020023
http://dx.doi.org/10.1038/s41586-023-05909-9
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