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The design of functional proteins using tensorized energy calculations
In protein design, the energy associated with a huge number of sequence-conformer perturbations has to be routinely estimated. Hence, enhancing the throughput and accuracy of these energy calculations can profoundly improve design success rates and enable tackling more complex design problems. In th...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475850/ https://www.ncbi.nlm.nih.gov/pubmed/37671023 http://dx.doi.org/10.1016/j.crmeth.2023.100560 |
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author | Maksymenko, Kateryna Maurer, Andreas Aghaallaei, Narges Barry, Caroline Borbarán-Bravo, Natalia Ullrich, Timo Dijkstra, Tjeerd M.H. Hernandez Alvarez, Birte Müller, Patrick Lupas, Andrei N. Skokowa, Julia ElGamacy, Mohammad |
author_facet | Maksymenko, Kateryna Maurer, Andreas Aghaallaei, Narges Barry, Caroline Borbarán-Bravo, Natalia Ullrich, Timo Dijkstra, Tjeerd M.H. Hernandez Alvarez, Birte Müller, Patrick Lupas, Andrei N. Skokowa, Julia ElGamacy, Mohammad |
author_sort | Maksymenko, Kateryna |
collection | PubMed |
description | In protein design, the energy associated with a huge number of sequence-conformer perturbations has to be routinely estimated. Hence, enhancing the throughput and accuracy of these energy calculations can profoundly improve design success rates and enable tackling more complex design problems. In this work, we explore the possibility of tensorizing the energy calculations and apply them in a protein design framework. We use this framework to design enhanced proteins with anti-cancer and radio-tracing functions. Particularly, we designed multispecific binders against ligands of the epidermal growth factor receptor (EGFR), where the tested design could inhibit EGFR activity in vitro and in vivo. We also used this method to design high-affinity Cu(2+) binders that were stable in serum and could be readily loaded with copper-64 radionuclide. The resulting molecules show superior functional properties for their respective applications and demonstrate the generalizable potential of the described protein design approach. |
format | Online Article Text |
id | pubmed-10475850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104758502023-09-05 The design of functional proteins using tensorized energy calculations Maksymenko, Kateryna Maurer, Andreas Aghaallaei, Narges Barry, Caroline Borbarán-Bravo, Natalia Ullrich, Timo Dijkstra, Tjeerd M.H. Hernandez Alvarez, Birte Müller, Patrick Lupas, Andrei N. Skokowa, Julia ElGamacy, Mohammad Cell Rep Methods Article In protein design, the energy associated with a huge number of sequence-conformer perturbations has to be routinely estimated. Hence, enhancing the throughput and accuracy of these energy calculations can profoundly improve design success rates and enable tackling more complex design problems. In this work, we explore the possibility of tensorizing the energy calculations and apply them in a protein design framework. We use this framework to design enhanced proteins with anti-cancer and radio-tracing functions. Particularly, we designed multispecific binders against ligands of the epidermal growth factor receptor (EGFR), where the tested design could inhibit EGFR activity in vitro and in vivo. We also used this method to design high-affinity Cu(2+) binders that were stable in serum and could be readily loaded with copper-64 radionuclide. The resulting molecules show superior functional properties for their respective applications and demonstrate the generalizable potential of the described protein design approach. Elsevier 2023-08-15 /pmc/articles/PMC10475850/ /pubmed/37671023 http://dx.doi.org/10.1016/j.crmeth.2023.100560 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Maksymenko, Kateryna Maurer, Andreas Aghaallaei, Narges Barry, Caroline Borbarán-Bravo, Natalia Ullrich, Timo Dijkstra, Tjeerd M.H. Hernandez Alvarez, Birte Müller, Patrick Lupas, Andrei N. Skokowa, Julia ElGamacy, Mohammad The design of functional proteins using tensorized energy calculations |
title | The design of functional proteins using tensorized energy calculations |
title_full | The design of functional proteins using tensorized energy calculations |
title_fullStr | The design of functional proteins using tensorized energy calculations |
title_full_unstemmed | The design of functional proteins using tensorized energy calculations |
title_short | The design of functional proteins using tensorized energy calculations |
title_sort | design of functional proteins using tensorized energy calculations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475850/ https://www.ncbi.nlm.nih.gov/pubmed/37671023 http://dx.doi.org/10.1016/j.crmeth.2023.100560 |
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