De novo protein design is of fundamental interest to synthetic biology, with a plethora of computational methods of various degrees of generality developed in recent years. Here, we introduce AlphaDesign, a hallucination-based computational framework for de novo protein design developed with maximum generality and usability in mind, which combines AlphaFold with autoregressive diffusion models to enable rapid generation and computational validation of proteins with controllable interactions, conformations and oligomeric state without the requirement for class-dependent model re-training or fine-tuning. We apply our framework to design and systematically validate in vivo active inhibitors of a family of bacterial phage defense systems with toxic effectors called retrons, paving the way towards efficient, rational design of novel proteins as biologics.
AlphaDesign: a de novo protein design framework based on AlphaFold.
AlphaDesign:一种基于 AlphaFold 的从头蛋白质设计框架
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作者:Jendrusch Michael A, Yang Alessio L J, Cacace Elisabetta, Bobonis Jacob, Voogdt Carlos G P, Kaspar Sarah, Schweimer Kristian, Perez-Borrajero Cecilia, Lapouge Karine, Scheurich Jacob, Remans Kim, Hennig Janosch, Typas Athanasios, Korbel Jan O, Sadiq S Kashif
| 期刊: | Molecular Systems Biology | 影响因子: | 7.700 |
| 时间: | 2025 | 起止号: | 2025 Sep;21(9):1166-1189 |
| doi: | 10.1038/s44320-025-00119-z | 研究方向: | 其它 |
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