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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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