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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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Detalles Bibliográficos
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
Descripción
Sumario: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.