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A topological refactoring design strategy yields highly stable granulopoietic proteins
Protein therapeutics frequently face major challenges, including complicated production, instability, poor solubility, and aggregation. De novo protein design can readily address these challenges. Here, we demonstrate the utility of a topological refactoring strategy to design novel granulopoietic p...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135769/ https://www.ncbi.nlm.nih.gov/pubmed/35618709 http://dx.doi.org/10.1038/s41467-022-30157-2 |
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author | Skokowa, Julia Hernandez Alvarez, Birte Coles, Murray Ritter, Malte Nasri, Masoud Haaf, Jérémy Aghaallaei, Narges Xu, Yun Mir, Perihan Krahl, Ann-Christin Rogers, Katherine W. Maksymenko, Kateryna Bajoghli, Baubak Welte, Karl Lupas, Andrei N. Müller, Patrick ElGamacy, Mohammad |
author_facet | Skokowa, Julia Hernandez Alvarez, Birte Coles, Murray Ritter, Malte Nasri, Masoud Haaf, Jérémy Aghaallaei, Narges Xu, Yun Mir, Perihan Krahl, Ann-Christin Rogers, Katherine W. Maksymenko, Kateryna Bajoghli, Baubak Welte, Karl Lupas, Andrei N. Müller, Patrick ElGamacy, Mohammad |
author_sort | Skokowa, Julia |
collection | PubMed |
description | Protein therapeutics frequently face major challenges, including complicated production, instability, poor solubility, and aggregation. De novo protein design can readily address these challenges. Here, we demonstrate the utility of a topological refactoring strategy to design novel granulopoietic proteins starting from the granulocyte-colony stimulating factor (G-CSF) structure. We change a protein fold by rearranging the sequence and optimising it towards the new fold. Testing four designs, we obtain two that possess nanomolar activity, the most active of which is highly thermostable and protease-resistant, and matches its designed structure to atomic accuracy. While the designs possess starkly different sequence and structure from the native G-CSF, they show specific activity in differentiating primary human haematopoietic stem cells into mature neutrophils. The designs also show significant and specific activity in vivo. Our topological refactoring approach is largely independent of sequence or structural context, and is therefore applicable to a wide range of protein targets. |
format | Online Article Text |
id | pubmed-9135769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91357692022-05-28 A topological refactoring design strategy yields highly stable granulopoietic proteins Skokowa, Julia Hernandez Alvarez, Birte Coles, Murray Ritter, Malte Nasri, Masoud Haaf, Jérémy Aghaallaei, Narges Xu, Yun Mir, Perihan Krahl, Ann-Christin Rogers, Katherine W. Maksymenko, Kateryna Bajoghli, Baubak Welte, Karl Lupas, Andrei N. Müller, Patrick ElGamacy, Mohammad Nat Commun Article Protein therapeutics frequently face major challenges, including complicated production, instability, poor solubility, and aggregation. De novo protein design can readily address these challenges. Here, we demonstrate the utility of a topological refactoring strategy to design novel granulopoietic proteins starting from the granulocyte-colony stimulating factor (G-CSF) structure. We change a protein fold by rearranging the sequence and optimising it towards the new fold. Testing four designs, we obtain two that possess nanomolar activity, the most active of which is highly thermostable and protease-resistant, and matches its designed structure to atomic accuracy. While the designs possess starkly different sequence and structure from the native G-CSF, they show specific activity in differentiating primary human haematopoietic stem cells into mature neutrophils. The designs also show significant and specific activity in vivo. Our topological refactoring approach is largely independent of sequence or structural context, and is therefore applicable to a wide range of protein targets. Nature Publishing Group UK 2022-05-26 /pmc/articles/PMC9135769/ /pubmed/35618709 http://dx.doi.org/10.1038/s41467-022-30157-2 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Skokowa, Julia Hernandez Alvarez, Birte Coles, Murray Ritter, Malte Nasri, Masoud Haaf, Jérémy Aghaallaei, Narges Xu, Yun Mir, Perihan Krahl, Ann-Christin Rogers, Katherine W. Maksymenko, Kateryna Bajoghli, Baubak Welte, Karl Lupas, Andrei N. Müller, Patrick ElGamacy, Mohammad A topological refactoring design strategy yields highly stable granulopoietic proteins |
title | A topological refactoring design strategy yields highly stable granulopoietic proteins |
title_full | A topological refactoring design strategy yields highly stable granulopoietic proteins |
title_fullStr | A topological refactoring design strategy yields highly stable granulopoietic proteins |
title_full_unstemmed | A topological refactoring design strategy yields highly stable granulopoietic proteins |
title_short | A topological refactoring design strategy yields highly stable granulopoietic proteins |
title_sort | topological refactoring design strategy yields highly stable granulopoietic proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135769/ https://www.ncbi.nlm.nih.gov/pubmed/35618709 http://dx.doi.org/10.1038/s41467-022-30157-2 |
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