概括性
计算生物学
生物
合成生物学
蛋白质设计
合理设计
可用性
效应器
班级(哲学)
计算机科学
蛋白质-蛋白质相互作用
人工智能
蛋白质结构
遗传学
人机交互
细胞生物学
生物化学
心理治疗师
心理学
作者
Michael Jendrusch,Alessio Ling Jie Yang,Elisabetta Cacace,Jacob Bobonis,Carlos Geert Pieter Voogdt,Sarah Kaspar,Kristian Schweimer,Cecilia Perez-Borrajero,Karine Lapouge,Jacob Scheurich,Kim Remans,Janosch Hennig,Athanasios Typas,Jan O. Korbel,S. Kashif Sadiq
标识
DOI:10.1038/s44320-025-00119-z
摘要
Abstract 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.
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