An iterative strategy to design 4-1BB agonist nanobodies de novo with generative AI models

An iterative strategy to design 4-1BB agonist nanobodies de novo with generative AI models

Abstract The 4-1BB receptor, a key member of the tumor necrosis factor receptor (TNFR) family, represents a highly promising target for cancer immunotherapy. In this study, we developed a novel in silico pipeline to design VHH domain antibodies targeting 4-1BB, leveraging knowledge-based amino acid...

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Main Authors: Ivan Poddiakov, Dmitriy Umerenkov, Irina Shulcheva, Victoria Golovina, Vasilina Borisova, Irina Pozdnyakova-Filatova, Evgeniy Loktyushov, Galina Zubkova, Andrey Savchenko, Andrei Ulitin, Pavel Blinov
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-10241-5
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https://doi.org/10.1038/s41598-025-10241-5

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